When joining Ventana Research, I noted that the need to be more data-driven has become a mantra among large and small organizations alike. Data-driven organizations stand to gain competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. Being data-driven is clearly something to aspire to. However, it is also a somewhat vague concept without clear definition. We know data-driven organizations when we see them — the likes of Airbnb, DoorDash, ING Bank, Netflix, Spotify, and Uber are often cited as examples — but it is not necessarily clear what separates the data-driven from the rest. Data has been used in decision-making processes for thousands of years, and no business operates without some form of data processing and analytics. As such, although many organizations may aspire to be more data-driven, identifying and defining the steps required to achieve that goal are not necessarily easy. In this Analyst Perspective, I will outline the four key traits that I believe are required for a company to be considered data-driven.
Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, natural language processing, data lakes, AI and Machine Learning, data operations, Digital Business, Streaming Analytics, data platforms, Analytics & Data, Streaming Data & Events
Disentangling and Demystifying Data Mesh and Data Fabric
I recently wrote about the potential benefits of data mesh. As I noted, data mesh is not a product that can be acquired, or even a technical architecture that can be built. It’s an organizational and cultural approach to data ownership, access and governance. While the concept of data mesh is agnostic to the technology used to implement it, technology is clearly an enabler for data mesh. For many organizations, new technological investment and evolution will be required to facilitate adoption of data mesh. Meanwhile, the concept of the data fabric, a technology-driven approach to managing and governing data across distributed environments, is rising in popularity. Although I previously touched on some of the technologies that might be applicable to data mesh, it is worth diving deeper into the data architecture implications of data mesh, and the potential overlap with data fabric.
Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, AI and Machine Learning, data operations, data platforms, Streaming Data & Events
Oracle Positions to Address Any and All Data Platform Needs
I recently described how the operational data platforms sector is in a state of flux. There are multiple trends at play, including the increasing need for hybrid and multicloud data platforms, the evolution of NoSQL database functionality and applicable use-cases, and the drivers for hybrid data processing. The past decade has seen significant change in the emergence of new vendors, data models and architectures as well as new deployment and consumption approaches. As organizations adopted strategies to address these new options, a few things remained constant – one being the influence and importance of Oracle. The company’s database business continues to be a core focus of innovation, evolution and differentiation, even as it expanded its portfolio to address cloud applications and infrastructure.
Topics: business intelligence, Analytics, Data Integration, Data, AI and Machine Learning, data platforms
Real-Time Data Processing Requires More Agile Data Pipelines
I recently wrote about the importance of data pipelines and the role they play in transporting data between the stages of data processing and analytics. Healthy data pipelines are necessary to ensure data is integrated and processed in the sequence required to generate business intelligence. The concept of the data pipeline is nothing new of course, but it is becoming increasingly important as organizations adapt data management processes to be more data driven.
Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Digital transformation, data lakes, AI and Machine Learning, data operations, Digital Business, data platforms, Analytics & Data, Streaming Data & Events
I recently described the growing level of interest in data mesh which provides an organizational and cultural approach to data ownership, access and governance that facilitates distributed data processing. As I stated in my Analyst Perspective, data mesh is not a product that can be acquired or even a technical architecture that can be built. Adopting the data mesh approach is dependent on people and process change to overcome traditional reliance on centralized ownership of data and infrastructure and adapt to its principles of domain-oriented ownership, data as a product, self-serve data infrastructure and federated governance. Many organizations will need to make technological changes to facilitate adoption of data mesh, however. Starburst Data is associated with accelerating analysis of data in data lakes but is also one of several vendors aligning their products with data mesh.
Topics: Business Continuity, Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, data lakes, Digital Business, data platforms, Analytics & Data
The Benefits of Data Mesh Extend to Organizational and Cultural Change
Data mesh is the latest trend to grip the data and analytics sector. The term has been rapidly adopted by numerous vendors — as well as a growing number of organizations —as a means of embracing distributed data processing. Understanding and adopting data mesh remains a challenge, however. Data mesh is not a product that can be acquired, or even a technical architecture that can be built. It is an organizational and cultural approach to data ownership, access and governance. Adopting data mesh requires cultural and organizational change. Data mesh promises multiple benefits to organizations that embrace this change, but doing so may be far from easy.
Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Digital transformation, data lakes, data operations, Digital Business, data platforms, Analytics & Data, Streaming Data & Events
As businesses become more data-driven, they are increasingly dependent on the quality of their data and the reliability of their data pipelines. Making decisions based on data does not guarantee success, especially if the business cannot ensure that the data is accurate and trustworthy. While there is potential value in capturing all data — good or bad — making decisions based on low-quality data may do more harm than good.
Topics: Data Governance, Data Integration, Data, Digital Technology, data lakes, data operations, Analytics & Data
Incorta Unifies Data Processing to Accelerate Analytics & BI
As I stated when joining Ventana Research, the socioeconomic impacts of the pandemic and its aftereffects have highlighted more than ever the differences between organizations that can turn data into insights and are agile enough to act upon it and those that are incapable of seeing or responding to the need for change. Data-driven organizations stand to gain competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. One of the key methods that accelerates business decision-making is reducing the lag between data collection and data analysis.
Topics: Analytics, Business Intelligence, Data Integration, Data, data lakes, AI and Machine Learning, data operations, data platforms, Streaming Data & Events
AtScale Universal Semantic Layer Democratizes and Scales Analytics
Organizations of all sizes are dealing with exponentially increasing data volume and data sources, which creates challenges such as siloed information, increased technical complexities across various systems and slow reporting of important business metrics. Migrating to the cloud does not solve the problems associated with performing analytics and business intelligence on data stored in disparate systems. Also, the computing power needed to process large volumes of data consists of clusters of servers with hundreds or thousands of nodes that can be difficult to administer. Our Analytics and Data Benchmark Research shows that organizations have concerns about current analytics and BI technology. Findings include difficulty integrating data with other business processes, systems that are not flexible enough to scale operations and trouble accessing data from various data sources.
Topics: Analytics, Business Intelligence, Data Integration, Data, data lakes, AI and Machine Learning, data operations, Streaming Analytics
Managing Data Effectively in 2022: Ventana Research Market Agenda
Ventana Research recently announced its 2022 Market Agenda for Data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.
Topics: Data Governance, Data Integration, Data, data lakes, data operations, data platforms, Streaming Data & Events
ThoughtSpot Enables Simpler Analytics with AI and NLP
Organizations today have huge volumes of data across various cloud and on-premises systems which keep growing by the second. To derive value from this data, organizations must query the data regularly and share insights with relevant teams and departments. Automating this process using natural language processing (NLP) and artificial intelligence and machine learning (AI/ML) enables line-of-business personnel to query the data faster, generate reports themselves without depending on IT, and make quick decisions. Some organizations have started using NLP in self-service analytics to quickly identify patterns and simplify data visualization. Our Analytics and Data Benchmark Research finds that about 81% of organizations expect to use natural language search for analytics to make timely and informed decisions.
Topics: embedded analytics, Analytics, Business Intelligence, Data Integration, Data, natural language processing, data lakes, AI and Machine Learning, data operations, data platforms
AWS Cloud Data Platform Services Expand Workload Placement Options
Few trends have had a bigger impact on the data platforms landscape than the emergence of cloud computing. The adoption of cloud computing infrastructure as an alternative to on-premises datacenters has resulted in significant workloads being migrated to the cloud, displacing traditional server and storage vendors. Almost one-half (49%) of respondents to Ventana Research’s Analytics and Data Benchmark Research currently use cloud computing products for analytics and data, and a further one-quarter plan to do so. In addition to deploying data workloads on cloud infrastructure, many organizations have also adopted cloud data and analytics services offered by the same cloud providers, displacing traditional data platform vendors. Organizations now have greater choice in relation to potential products and providers for data and analytics workloads, but also need to think about integrating services offered by cloud providers with established technology and processes. Having pioneered the concept, Amazon Web Services has arguably benefitted more than most from adoption of cloud computing, and is also in the process of expanding and adjusting its portfolio to alleviate challenges and encourage even greater adoption.
Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data
Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed. And as the organization increases its data sources and adds more systems and custom applications, it becomes challenging to manage the data consistently and keep data definitions up to date. This increases the need to use master data management (MDM) software that can provide a single source of truth to drive accurate analytics and business operations.
Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Analytics & Data
Hydroanalytic Data Platforms Power Data Lakes’ Strategic Value
Data lakes have enormous potential as a source of business intelligence. However, many early adopters of data lakes have found that simply storing large amounts of data in a data lake environment is not enough to generate business intelligence from that data. Similarly, lakes and reservoirs have enormous potential as sources of energy. However, simply storing large amounts of water in a lake is not enough to generate energy from that water. A hydroelectric power station is required to harness and unleash the power-generating potential of a lake or reservoir, utilizing a combination of turbines, generators and transformers to convert the energy of the flowing water into electricity. A hydroanalytic data platform, the data equivalent of a hydroelectric power station, is required to harness and unleash the intelligence-generating potential of a data lake.
Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data, Digital Technology, data lakes, AI and Machine Learning, data operations, data platforms
Automating Workflows for a Better Customer Experience
Any organization that relies heavily on a large labor force looks to automation to reduce costs, and contact centers are no exception. They handle interactions at such large scale that almost any effort to automate some part of the process can deliver measurable efficiencies. Two factors have ratcheted up attention on automating customer experience workflows: the dramatic expansion of digital interaction channels, and the development of artificial intelligence and machine learning tools to facilitate workflow deployment.
Topics: Customer Experience, Voice of the Customer, Analytics, Data Integration, Contact Center, Data, AI and Machine Learning, agent management, data operations, Digital Business, Experience Management, Customer Experience Management, Field Service
Enterprises looking to adopt cloud-based data processing and analytics face a disorienting array of data storage, data processing, data management and analytics offerings. Departmental autonomy, shadow IT, mergers and acquisitions, and strategic choices mean that most enterprises now have the need to manage data across multiple locations, while each of the major cloud providers and data and analytics vendors has a portfolio of offerings that may or may not be available in any given location. As such, the ability to manage and process data across multiple clouds and data centers is a growing concern for large and small enterprises alike. Almost one-half (49%) of respondents to Ventana Research’s Analytics and Data Benchmark Research study are using cloud computing for analytics and data, of which 42% are currently using more than one cloud provider.
Topics: Analytics, Cloud Computing, Data Governance, Data Integration, Data, Digital Technology, data lakes, AI and Machine Learning, data operations, data platforms
Data Virtualization Brings Data Together Quickly and Easily
The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization. Other similar terms you may have heard include data fabric, data mesh and [data] federation. I’ll briefly discuss these terms and how I see them being used, but ultimately, I’d like to share with you some research that shows why data virtualization can be valuable, regardless of what you call it.
Topics: Analytics, Data Governance, Data Integration, Data, Digital Technology, data lakes
For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions. The result was battle-tested integrations that could withstand the test of time.
Topics: Data Governance, Data Integration, Data Preparation, Information Management, dataops, data operations
Big Data, Machine Learning and Alteryx Inspires 2019
Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month. The strong attendance was a reflection of the strong growth Alteryx has experienced over the last year; roughly 50% growth year-over-year. This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center.
Topics: Big Data, Data Science, alteryx, Machine Learning, Data Integration, Data Management, Alteryx Inspire
Embedded Data and Information Builders Summit 2019
Summit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years.
Topics: Big Data, embedded analytics, Analytics, Data Integration, Data Management, Information Builders, IOT, Streaming Data, Information Builders Summit 2019
Qonnections 2019 is Qlik's annual user conference. Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Many of these announcements were centered on a key theme of a cloud and SaaS-first approach.
Topics: Big Data, Analytics, Cloud Computing, Data Integration, Data Management, Information Management, Qlik, Qlik Qonnections
Domopalooza 2019 marked the first annual user conference after Domo went public, but the energy, excitement and new feature announcements have not slowed. With thousands in attendance and growing fast, this year's conference focused on five key areas: digitization, real time connectivity, driving insight based actions, applying AI & machine learning, and building applications. All of these announcements are aimed at broadening the workloads supported by Domo.
Topics: Analytics, Business Intelligence, Collaboration, Data Integration, Data Management, Data Preparation, Domo
Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds". Pushing the envelope in data capabilities and access, Tableau introduced the "Ask Data" feature, allowing users to prose natural language queries and receive a response, along with new data preparation capabilities and other enhancements to help data analysts. Further, Tableau announced new developer enhancements including a new developer program to better align tools built for Tableau with Tableau's interface. For the full breakdown of Tableau User Conference 2018, and my analysis of all the largest announcements, watch my hot take video.
Topics: Big Data, Data Governance, Data Integration, Data Preparation, Tableau Software, data lakes
In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event, the focus was largely on machine learning and artificial intelligence (AI). That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data. The change was subtle: The location was the same; the exhibitors were largely the same; attendance was similar this year and last. But there was no particular vendor or technology dominating the event.
Topics: Big Data, Data Science, Machine Learning, Analytics, Business Intelligence, Data Governance, Data Integration, Data Preparation, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing
We now are well beyond the year depicted in 2001: A Space Odyssey, a cinematic perspective on the future of artificial intelligence in which HAL 9000, a computer, is able to simulate human behavior and control machines. Anyone reviewing the past two years of marketing around AI in the business technology industry can be forgiven for believing that we have arrived at the futuristic state Stanley Kubrick imagined. We have not.
Topics: Big Data, Data Science, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business
Blockchains are attractive because their built-in security and trust factors make them useful for almost all business interactions involving organizations and individuals. Blockchains have two basic functions. One is as a method for handling transactions involving property such as land deeds, trademarks or other assets. The second involves exchanges of data such as identities of individuals or businesses, the location of an object at a point in time or weather conditions. All interactions involving property or assets include the transfer of data as well, of course, but some blockchain use cases are informational only.
Topics: Big Data, Data Science, Mobile, Marketing Performance Management, Office of Finance, business intelligence, Analytics, Cloud Computing, Data Governance, Data Integration, Data Preparation, Internet of Things, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain
We are have arrived at the May 25, 2018 date when the European Union’s General Data Privacy Regulations (GDPR) become enforceable, following what has been a two-year transition period. Companies were given this time to put in place reasonable measures and the systems necessary to support the legislation’s wide-ranging personal data privacy requirements, which apply to any organization with more than 250 employees that serves EU citizens. While this regulation will apply in the EU, it has implications for any organization in the world that provides services involving the personal data of any EU citizen.
Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Marketing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Digital Technology, Digital Marketing, Digital Commerce, Cybersecurity, Billing and Recurring Revenue, collaboration for business, mobile marketing
Beyond Digital Transformation: Effective Technology Innovation in 2018
Advancing the potential of any business requires continuous improvement in the processes and technology that support it. Many companies have embraced attempts at a digital transformation, and it’s become a goal to which organizational resources and budgets have been dedicated around the globe.
Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Human Capital Management, Machine Learning, Marketing, Marketing Performance Management, Mobile Technology, Office of Finance, Wearable Computing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Product Information Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Machine Learning and Cognitive Computing, Pricing and Promotion Management, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business, mobile marketing
Informatica Asserts Its Commitment to the Cloud and Machine Learning
Informatica reintroduced itself to the world at its recent customer conference, Informatica World, in San Francisco. The company took advantage of the event to showcase its new branding in an effort to change the way customers think about the company. Informatica has been providing information services in the cloud for more than a decade. Even though cloud revenue comprises a minority of Informatica’s business, in absolute terms, the revenue is significant, and company executives want the public to recognize Informatica as a leader in cloud-based data management services for enterprises. Presenters also made notable product announcements, discussed below, including the application of machine learning to the data management process.
Topics: Big Data, Data Science, Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data Preparation, Information Optimization, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
Oracle recently held its second ERP Cloud Summit with industry analysts. The all-day event wasn’t just about ERP. The company covered a range of its business applications, including financial performance management as well as its Adaptive Intelligent Applications. And it wasn’t just about the cloud. After more than a decade of steady developments, ERP systems have begun to change fundamentally, facilitated by the growing availability of new technologies including cloud computing, advanced database architecture, collaboration, user interface design, mobility, analytics and planning. Here are my key takeaways from the event:
Topics: Big Data, Data Science, Mobile, Customer Experience, Human Capital Management, Machine Learning, Office of Finance, Analytics, Data Integration, Internet of Things, Cognitive Computing, HRMS, Financial Performance Management, Mobile Marketing Digital Commerce, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting
I recently attended SAS Institute’s analyst relations conference. There the company provided updates on its financial performance and its Viya platform and a glimpse into some of its future plans.
Topics: Big Data, Data Science, Mobile Technology, business intelligence, Analytics, Cloud Computing, Collaboration, Data Governance, Data Integration, Data Preparation, Internet of Things, Information Optimization, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
Cloudera provides database and enabling technology for the big data market and overall for data and information management. As my colleague David Menninger has written, the big data and information management technology markets are changing rapidly and require vendors to adapt to them. Cloudera has grown significantly over the last decade and now has approximately 1,000 customers and provides support and services in countries around the world. Its product and technology strategy is to provide a unified data management platform, Cloudera Enterprise, that can meet the data engineering and science needs for a range of analytic and operational database applications. Its primary focus is its Enterprise Data Hub, which as a data lake can handle organizations’ big data and analytical needs. As David Menninger asserts, the data lake is a safe way to invest in big data. It also helps shift the focus away from the V’s (volume, velocity and variety) of big data to the A’s, which are analytics, awareness, anticipation and action.
Topics: Big Data, Data Science, Machine Learning, business intelligence, Analytics, Cloud Computing, Data Governance, Data Integration, Data Preparation, Internet of Things, Cognitive Computing, Information Optimization, Digital Technology
Digital Process Reengineering Drives Business Change
Business process reengineering was a consulting fashion in the early 1990s that spurred many companies to purchase their first ERP systems. BPR proposes a fundamental redesign of core business processes to achieve substantial improvements in market and customer responsiveness, productivity, cycle times and quality. ERP systems support business process reengineering by guiding the step-by-step execution of the redesigned process to ensure that it is performed consistently. They also automate the handoffs between individuals and departments to accelerate completion of that process.
Topics: Big Data, Data Science, Mobile, Customer Analytics, Customer Experience, Machine Learning, Office of Finance, Wearable Computing, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Data Integration, Internet of Things, Financial Performance Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting, Sales Planning and Analytics
Research Agenda Will Track Big Data and Information Management in 2017
Big data has become an integral part of information management. Nearly all organizations have some need to access big data sources and produce actionable information for decision-makers. Recognizing this connection, we merged these two topics when we put together our recently published research agendas for 2017. As we plan our research, we focus on current technologies and how they can be used to improve an organization’s performance. We then share those results with our readers.
Topics: Big Data, Data Science, Analytics, Data Governance, Data Integration, Data Preparation, Information Management, Internet of Things, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
Pentaho 7.0 Brings Visualization and Data Preparation
The business intelligence market is bounded on one side by big data and on the other side by data preparation. That is, to maximize their performance in using information, organizations have to collect and analyze ever increasing volumes of data while the tools available are constantly evolving in the big data ecosystem that I have written about. In our benchmark research on big data analytics, half (51%) of organizations said they want to access big data using their existing BI tools. At the same time, as I have noted, end users are demanding self-service access to data preparation capabilities to facilitate their analyses.
Topics: Big Data, Analytics, Business Intelligence, Collaboration, Data Integration, Data Preparation, Information Management, Internet of Things
IBM recently held its inaugural World of Watson event. Formerly known as IBM Insight, and prior to that IBM Information on Demand, the annual event, attended by 17,000 people this year, showcases IBM’s data and analytics and the broader IBM efforts in cognitive computing. The theme for the event, as you might guess, was the Watson family of cognitive computing products. I, for one, was glad to spend more time getting to know the Watson product line, and I’d like to share some of my observations from the event.
Topics: Big Data, Data Science, Machine Learning, Analytics, Cloud Computing, Data Governance, Data Integration, Internet of Things, Information Optimization, Machine Learning and Cognitive Computing
Informatica Navigates Carefully to Broader Data Management
This has been a dramatic year for Informatica, a major provider of data integration software. In August it was acquired and taken private by Permira funds and Canada Pension Plan Investment Board for about US$5.3 billion. This change was accompanied by shifts in its management. CEO Sohaib Abbasi became chairman and now has left, and many executives were replaced while Anil Chakravathy became CEO from being the Chief Product Officer. The new owners appear to have shifted the company’s strategic priorities to emphasize profitability with reduced headcount and return on the purchase investment. Despite these changes, during the past six months Informatica has made key product announcements that will impact its future and the future of data management.
Topics: Big Data, Data Quality, Master Data Management, MDM, Operational Performance Management (OPM), Cloud Computing, Data Integration, Data Management, Data Preparation, Governance, Risk & Compliance (GRC), Informatica, Information Management, Business Performance Management (BPM), Information Optimization, Risk & Compliance (GRC)
Big data has great promise for many organizations today, but they also need technology to facilitate integration of various data stores, as I recently pointed out. Our big data integration benchmark research makes it clear that organizations are aware of the need to integrate big data, but most have yet to address it: In this area our Performance Index analysis, which assesses competency and maturity of organizations, concludes that only 13 percent reach the highest of four levels, Innovative. Furthermore, while many organizations are sophisticated in dealing with the information, they are less able to handle the people-related areas, lacking the right level of training in the skills required to integrate big data. Most said that the training they provide is only somewhat adequate or inadequate.
Topics: Big Data, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Data Integration, Information Applications, Information Management, Strata+Hadoop
It’s widely agreed that cloud computing is a major technology innovation. Many companies use cloud-based systems for specific business functions such as customer service, sales, marketing, finance and human resources. More generally, however, analytics and business intelligence (BI) have not migrated to the cloud as quickly. But now cloud-based data and analytics products are becoming more common. This trend is most popular among technology companies, small and midsize businesses, and departments in larger ones, but there are examples of large companies moving their entire BI environments to the cloud. Our research into big data analytics shows that more than one-fourth of analytics initiatives for companies of all sizes are cloud-based.
Topics: Big Data, SaaS, Sales Performance, Social Media, Governance, Statistics, cloud analytics, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Internet of Things, Location Intelligence, Operational Intelligence, Workforce Performance, Risk & Compliance (GRC), cloud business intelligence
Our benchmark research consistently shows that business analytics is the most significant technology trend in business today and acquiring effective predictive analytics is organizations’ top priority for analytics. It enables them to look forward rather than backward and, participate organizations reported, leads to competitive advantage and operational efficiencies.
Topics: Big Data, Predictive Analytics, Sales Performance, Statistics, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance
Informatica Unveils New Platform and Tools for Information Optimization
At the Informatica World 2014 conference, the company known for its data integration software unveiled the Intelligent Data Platform. In the last three years Informatica has expanded beyond data integration and now has a broad software portfolio that facilitates information management within the enterprise and through cloud computing. The Intelligent Data Platform forms a framework for its portfolio. This expression of broad potential is important for Informatica, which has been slow to position its products as capable of more than data integration. A large part of the value it provides lies in what its products can do to help organizations strengthen their enterprise architectures for managing applications and data. We see Informatica’s sweet spot in facilitating efficient use of data for business and IT purposes; we call this information optimization.
Topics: Big Data, Master Data Management, Sales Performance, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Data Integration, Data Management, Financial Performance, Informatica, Information Applications, Information Management, Workforce Performance, Information Optimization, Product Information Management, application
One of the potential benefits of cloud computing to access business applications and data is its potential to improve the situational awareness of executives and managers. By this I mean their understanding of what’s going on outside their company in addition to what’s happening within it. Today people have access to a trove of information about their own company, which is the result of decades of investment in an expanding range of enterprise transaction systems (ERP, CRM and supply chain management, for example) and convenient data stores that make accessing data easier than ever. But although people have access to internal information, most have big gaps in their knowledge about what’s going on in the outside world. Take, for example, market trends, information about a competitor’s, supplier’s or customer’s financials or industry-specific demand forecasts. Our benchmark research shows that while two-thirds of companies are satisfied with their ability to integrate information from standard internal sources, only 39 percent feel that way about reference or competitive data from external sources and 36 percent about text data from social media.
Topics: Sales Performance, Supply Chain Performance, Operational Performance, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Data Management, Financial Performance, Information Management, Workforce Performance, Data, finance, FPM
Pentaho Doubles Down on Unifying Big Data and Business Analytics
Pentaho recently announced Pentaho 5.0 which represents a major advancement for this supplier of business analytics and data integration software as well as for the open source community to which it contributes and supports. In fact, with 250 new features and enhancements in the 5.0 release, it’s important not to lose the forest for the trees. Some of the highlights are a new user interface that caters to specific roles within the organization, tight integration with emerging databases such as Mongo, and enhanced extensibility. With a funding round of $60 million coming less than a year ago and the growing market momentum around big data and analytics and it appears that Pentaho has doubled down at the right time in its efforts to balance the needs of the enterprise with those of the end user.
Topics: Big Data, Pentaho, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Data Integration, Information Applications, Information Management
Informatica Has New Vibe for Information Optimization
Information management is important to every line of business that seeks to improve its business processes and decision-making. In response to pressure from those departments, CIOs and IT organizations must examine whether they have focused enough on the I for information and not just the T for technology, and if they have not, commit to taking this responsibility more seriously than in the past. Informatica is one vendor that realizes the potential of its information beyond just data integration, and this is reflected in its expanded product portfolio and position in the market over the last several years. Our firm has taken note of companies gaining value from using Informatica; we awarded our 2013 CIO Leadership Award to George Brenckle of UMass Memorial Health Care for his work to maximize the value of information assets through managing data innovatively. Informatica itself has enhanced its position by introducing its new brand and a new CMO and demonstrating commitment to change from its executive leadership team at the company’s recent 2013 user conference. The focus of the brand now is on helping business and IT find the full value of their information.
Topics: Data Quality, Master Data Management, PowerCenter, Operational Performance, Analytics, Business Analytics, Business Performance, CIO, Cloud Computing, Data Integration, Information Applications, Information Management, Information Optimization, Vibe
Businesses Can Turn to Scribe for Integration in the Cloud Anytime
Businesses continue to try to increase productivity and simplify tasks in order to use their time smarter. Our recent business technology innovation research found that, when it comes to analytics, 44 percent of organizations spend the most time on data-related tasks. With lack of resources being the largest issue impeding the adoption of technology, IT must operate efficiently while getting business the data it needs on a timely basis. Scribe Solutions has a business-centric data integration solution that operates in the cloud. Over the last 15 years Scribe has accumulated more than 12,000 customers worldwide that span from Fortune 500 to midsize to small organizations. Scribe enables business to access marketing and sales data (part of CRM) like that in Microsoft Dynamics. It has built a strong presence indirectly and through Microsoft partners; it claims to have more than 1,000 partners, and has been expanding efforts to broaden its position by supporting a range of data sources, including Salesforce.com. Scribe focuses on what I call information optimization, providing value from information management investments, as I outlined in our research agenda.
Topics: Microsoft, Sales Performance, Marketo, On24, SilverPop, IT Performance, Operational Performance, Business Intelligence, Business Performance, Customer & Contact Center, Data Integration, Information Applications, Information Management, FinancialForce, Information Optimization, Intuit Quicken, Scribe Software, Xactly
Alteryx 8.5 Focuses on the User Experience of the “New Boss”
This year’s Inspire, Alteryx’s annual user conference, featured new developments around the company’s analytics platform. Alteryx CEO Dean Stoecker kicked off the event by talking about the promise of big data, the dissemination of analytics throughout the organization, and the data artisan as the “new boss.” Alteryx coined the term “data artisan” to represent the persona at the center of the company’s development and marketing efforts. My colleague Mark Smith wrote about the rise of the data artisan in his analysis of last year’s event.
Topics: Predictive Analytics, Sales Performance, Tableau, alteryx, Absolute Data, data artisan, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Information Applications, Operational Intelligence
I recently attended the annual SAS analyst summit to hear the latest company, product and customer growth news from the multi-billion-dollar analytics software provider. This global giant continues to grow its business and solutions to help with fraud prevention, marketing and risk. It lets users apply its analytic and statistical technology in practical applications for business. SAS can meet midsized businesses’ demand with packaging and pricing to ensure it is not seen as only affordable to Global 2000 companies. SAS’ growth in analytics should be no surprise, as our research finds analytics to be the first-ranked priority among technologies for innovating business.
Topics: Big Data, Predictive Analytics, Sales Performance, SAS, Fraud, GRC, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Operational Intelligence, Risk
Informatica Establishes Order from Information Chaos
I recently attended the annual Informatica analyst summit to get the latest on that company’s strategy and plans. The data integration provider offers a portfolio of information management software that supports today’s big data and information optimization needs. Informatica is busy making changes in its presentation to the market and its marketing and sales efforts. New executives, including new CMO Marge Breya, are working to communicate what is possible with Informatica’s product portfolio, and it’s more than just data integration.
Topics: Big Data, Data Quality, Master Data Management, Salesforce.com, MDM, IT Performance, Business Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data Management, Governance, Risk & Compliance (GRC), Informatica, Information Applications, Information Management, Operational Intelligence, CEP, Informatica Cloud, Strata+Hadoop
SnapLogic is Making Big Data Integration as a Service a Hadoop Reality
SnapLogic, a provider of data integration in the cloud, this week announced Big Data-as-a-Service to address businesses’ needs to integrate and process data across Hadoop big data environments. As our research agenda for 2013 outlines, dealing with data in the cloud is very important to organizations. At the same time, businesses need to be able to integrate their big data with all their technology assets, as I pointed out recently.
Topics: Big Data, R, Sales Performance, Salesforce.com, SnapLogic, Operational Performance, Business Analytics, Cloud Computing, Cloudera, Customer & Contact Center, Data Integration, Information Applications, Information Management
Big data involves interplay between different data management approaches and business intelligence and operational systems, which makes it imperative that all sources of business data be integrated efficiently and that organizations be able to easily adapt to new data types and sources. Our recent big data benchmark research confirmed that big data storage technologies continue to follow many approaches, including appliances, Hadoop, and in-memory and specialized DBMSes. With the variety, velocity and volume of big data being part of today’s information architecture, and the potential for big data to be a source to feed other systems, integration should be a top priority.
Topics: Big Data, Data Quality, Master Data Management, Business Technology Innovation, IT Performance, IT Research, Business Analytics, Business Intelligence, Data Integration, Information Applications, Information Management, Operational Intelligence
IBM to Acquire Star Analytics for Financial Data Integration
IBM this week announced its pending acquisition of the Star Analytics product portfolio. Star Analytics is a privately held company that offers products designed to provide easy access to and integration with Oracle Hyperion data sources. While Star Analytics has a good product and solid references, it has lacked critical mass to support more effective sales and marketing efforts. Star Analytics’ strategic value to IBM lies in its ability to unlock data held in Oracle Essbase multidimensional databases, which is the repository for applications such as Hyperion Enterprise, Financial Management and Planning. It supports IBM’s aim to offer comprehensive business analytics capabilities, which means it must be able to facilitate access to all data sources. Longer term, it enables IBM to compete with Oracle for finance department customers with IBM’s own financial performance management applications. Star Analytics gives IBM a means of fostering relationships with existing users of Hyperion applications and a more graceful migration path to using IBM’s financial, analytics and business intelligence software.
Topics: Reporting, closing, Essbase, Hyperion, Analytics, Business Analytics, Business Performance, Cloud Computing, Data Integration, Financial Performance, IBM, Information Management, Oracle, Financial Performance Management, Star Analytics, TM1
The Secrets to Big Data and Information Optimization Revealed in 2013 Research Agenda
Managing the access, storage and use of data effectively can provide businesses a competitive advantage. Last year I outlined what the big deal is in big data, as the initial focus on the volume, velocity and variety of data – what my colleague Tony Cosentino calls the three V’s – is only one small piece of how organizations should evaluate this technology. The more balanced approach is to include what he calls the three W’s – the what, so what and now what, which shifts the focus to an outcome-based view that can handle the time–to-value urgency found in business. Big data analytics can help assess the volume of data, while the velocity of data that is potentially in-motion is best handled by what we call operational intelligence. Beyond these, techniques and technology such as predictive analytics and visual discovery facilitate extracting more value from big data. Along with a wide variety of data, these tools help organizations focus on optimizing information assets. We will soon conduct benchmark research into information optimization to determine how organizations are dealing with their information today and what steps they are taking to improve. In-memory computing will surely be one of those steps, as it can significantly improve the time-to-insight equation.
Topics: Big Data, Master Data Management, Predictive Analytics, Sales Performance, MDM, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Data Governance, Data Integration, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Product Information Management
Informatica Optimizes Data Integration for Big Data and Cloud Computing
The technology ecosystems are expanding rapidly and the use of big data and cloud computing challenge organizations to process information efficiently and deliver consistent high-quality data. To address these issues, Informatica has introduced two new offerings.
Topics: Big Data, Social Media, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Data Integration, Informatica, Information Applications, Information Management, Strata+Hadoop
Salesforce is a global software-as-a-service (SaaS) company to be reckoned with. The swarming crowds at its Dreamforce event last week were estimated to exceed 90,000. The company is rapidly growing an ecosystem that includes Sales, Service and Marketing Clouds; Force.com for building applications; and Data.com for storing data in the cloud centrally for use across Salesforce products. It is also focusing on social computing, as I outlined at the beginning of the event. Hundreds of Salesforce partners complement and in some cases compete with the company with a large range of applications and tools available on the Salesforce AppExchange.
Topics: Master Data Management, Sales Performance, Salesforce.com, Social Media, SnapLogic, Zyme Solutions, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Data Governance, Data Integration, Governance, Risk & Compliance (GRC), Informatica, Information Builders, Information Management, Data, data integrity, database.com, Kapow
Ventana Research has just released the 2012 Value Index for Data Integration, in which we evaluate the competency and maturity of vendors and products. Our firm has been researching this software category for almost a decade. Our latest benchmark research in information management found that data integration is a critical component of information management strategies, according to 55 percent of organizations. Our benchmark research on organizations using this software not only uncovers best practices and trends, but it also highlights why IT is using data integration to advance its competencies across people and processes.
Topics: Big Data, Master Data Management, Microsoft, Pentaho, Sales Performance, SAP, SAS, Social Media, Supply Chain Performance, Talend, SnapLogic, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Data Governance, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Informatica, Information Applications, Information Builders, Information Management, Location Intelligence, Oracle, Workforce Performance, Syncsort
Information Management Technology Revolution and Research Agenda for 2012
In our definition, information management encompasses the acquisition, organization, dissemination and use of information by organizations to create and enhance business value. Effective information management ensures optimal access, relevance, timeliness, quality and security of this data with the aim to improve organizational performance. This goal is not easily met, especially as organizations acquire ever more data at an ever faster pace. In our business analytics benchmark research of more than 2,600 organizations, almost half (45%) have to integrate six or more types of data in their analyses. More than two-thirds reported that they spend more time preparing data than analyzing it. To assist in dealing with these sorts of issues and others, we’ve laid out an ambitious information management research agenda for 2012.
Topics: Data Quality, Master Data Management, Social Media, IT Performance, Business Analytics, Business Intelligence, Cloud Computing, Complex Event Processing, Data Governance, Data Integration, Information Applications, Information Life Cycle Management, Information Management, Operational Intelligence
Informatica Expands Data Footprint for Business and IT
My colleague Mark Smith and I recently attended data integration vendor Informatica’s annual industry analyst event. The company offered some impressive numbers regarding growth and profitability over the years, with 30 consecutive quarters of growth even during the recent recession. Through acquisition and its own research and development activities Informatica now has a broad portfolio of products. It includes data integration and supporting migration, replication and synchronization needs, master data management, complex event processing and other elements of the information management spectrum. As at last year’s event, the company retains a sharp focus on the data integration related portfolio, and its product roadmap addresses four key themes impacting that market: big data, cloud computing, social media and mobile technology. We also see these themes as significant technology trends, and our approach is outlined in our 2012 research agendas for information management and in the larger business technology innovation agenda. Thus it was interesting to hear Informatica’s take on them.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Informatica, Information Management, Workforce Performance
Informatica Advances Business with Data Integration for Social Media
Even in this recessionary economy Informatica has been defying spending constraints. At its annual analyst summit (Twitter #INFAAnalyst) the company unveiled its growth strategies. Informatica has more than 4,500 customers for data integration and information management and now is turning its attention to the data in social media networks. Our firm has already identified social media as a key technology that businesses must embrace over the next decade to improve competitiveness or just keep up. Informatica already helps IT departments become better data stewards through a variety of methods and supports the executive mission of the CIO. My colleague David Menninger will comment on its vision and direction for its data integration portfolio; I will focus on its decision to use its technology for social media, which is part of a forthcoming product roadmap. Regarding the importance of embracing social media in this area, see David’s research and educational agenda in information management for 2011.
Topics: Big Data, Sales Performance, Social Media, Customer Analytics, Market Research, Social Media Intelligence, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Business Technology, Cloud Computing, Customer & Contact Center, Data Integration, Mobility, CMO
My colleague Mark Smith and I recently chatted with executives of Tidemark, a company in the early stages of providing business analytics for decision-makers. It has a roster of experienced executive talent and solid financial backing. There’s a strategic link with Workday that reflects a common background at the operational and investor levels. As it gets rolling, Tidemark is targeting large and very companies as customers for its cloud-based system for analyzing data. It can automate alerts and enhance operating visibility, collaboratively assess the potential impacts of decisions and support the process of implementing those decisions.
Topics: Big Data, Data Warehousing, Master Data Management, Performance Management, Planning, Predictive Analytics, Sales Performance, GRC, Budgeting, Risk Analytics, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Data Governance, Data Integration, Financial Performance, In-Memory Computing, Information Management, Mobility, Workforce Performance, Risk, Workday, Financial Performance Management, Integrated Business Planning, Strata+Hadoop
Talend 5 Unifies Information Management Platform
Talend recently announced version 5 of its information management platform, which emphasizes unifying its various components. Through a combination of development activities, acquisitions and partnerships, Talend has been steadily building its portfolio of information management capabilities. In addition to its core data integration capabilities, it has added data quality, master data management, application integration and with this release business process management (BPM).
Topics: Big Data, Data Quality, Master Data Management, Talend, Business Analytics, Cloud Computing, Data Governance, Data Integration, Information Applications, Information Management, Strata+Hadoop
Kalido recently introduced version 9 of its Information Engine product. The company has been around for 10 years but has had difficulty establishing its identity in the information management market. Kalido was perhaps ahead of its time, partly a vendor of data integration, partly master data management and partly data governance. As an example of the positioning challenge, its core product, Information Engine, while not a data integration tool, could in some cases provide sufficient capabilities to meet an organization’s data integration needs. Its real value, however, comes from authoring and management of information about the user’s data warehouse.
Topics: Data Quality, Data Warehousing, Master Data Management, Data Governance, Data Integration, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Kalido
Informatica recently introduced HParser, an expansion of its capabilities for working with Hadoop data sources. Beginning with Version 9.1, introduced earlier this year, Informatica’s flagship product has been able to access data stored in HDFS as either a source or a target for information management processes. However, it could not manipulate or transform the data within the Hadoop environment. With this announcement, Informatica starts to bring its data transformation capabilities to Hadoop.
Topics: Big Data, MapReduce, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Performance, Customer & Contact Center, Data Integration, Financial Performance, Information Management, Workforce Performance, Strata+Hadoop
Informatica Joins Big Data Market with New Release
Informatica has announced version 9.1 for Big Data. I wrote previously about Informatica 9.1,the latest iteration of the company’s data integration platform, following its industry analyst summit. At that event in February, the company officials alluded to future plans regarding Hadoop and other big-data sources yet to be finalized. This announcement reveals those plans. Informatica will support three types of “big data”: big transaction data from relational databases and data warehouse system, big interaction data from social media, customer interaction systems and other systems, and big data processing, which means Hadoop, the open source software framework. Let’s look at each of these types.
Topics: Big Data, MapReduce, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Customer & Contact Center, Data Integration, Informatica, Strata+Hadoop
The Information Management Technology Revolution in 2011
The information management (IM) technology market is undergoing a revolution similar to the one in the business intelligence (BI) market. We define information management as the acquisition, organization, control and use of information to create and enhance business value. It is a necessary ingredient of successful BI implementations, and while some vendors such as IBM, Information Builders, Pentaho and SAP are in addition integrating their BI and IM offerings, each discipline involves different aspects of the use of information and will require it sometimes integrated and sometimes separate.
Topics: Data Quality, Social Media, IT Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Technology, CIO, Complex Event Processing, Data Governance, Data Integration, Information Management, Information Technology, Operational Intelligence
SAP Enterprise Information Management 4.0: A Technology Secret
SAP has launched its Enterprise Information Management (EIM) 4.0 release as part of its “Run Better Tour.” It includes a broad range of information management components spanning data integration, data quality, data profiling, metadata management and more. The launch was done in conjunction with SAP Business Intelligence (BI) 4.0, which got much bigger billing at the event –to the point where one might call this a stealth marketing campaign. However, the event did identify three themes intended to highlight EIM capabilities: event insight, trusted data and text processing. The goal here was to communicate the integration SAP has achieved within and between its BI and EIM products. IBM announced a similar advance with its InfoSphere products and Informatica has also invested heavily in integrating its information management products. Our Information Management benchmark research validates this approach, finding that incompatible tools create a significant obstacle to organizations’ quest for consistent sets of data.
Topics: Data Quality, SAP, Social Media, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Technology, CIO, Complex Event Processing, Data Governance, Data Integration, Information Management, Information Technology, Operational Intelligence
Informatica Stays with Its Strengths in Data Integration
At Informatica’s recent industry analyst summit, Chris Boorman, the company’s chief marketing officer, opened the event by describing Informatica as expanding beyond its core offering in data integration in a broader sense. He compared this growth to Amazon expanding from being an online bookseller to offering computing resources via Amazon Web Services. I see it almost the opposite way. Informatica has always been in the data integration business. It has excelled at making this area of IT more relevant and more applicable to broader audiences. My colleague described their latest efforts to focus on line of business users in a recent post. My purpose here is to review some of the highlights of the company’s latest product releases.
Topics: Sales Performance, Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Data Integration, Informatica, Information Management, Workforce Performance
At this year’s Informatica industry analyst conference (Twitter: #INFAAnalyst) to update the research and industry analyst community on its data integration and information infrastructure products. Looking back on my analysis of the company’s 2010 analyst summit, I see Informatica has made significant progress in gaining adoption of its products and influencing the new business technology landscape. Strong performance across the financial, product and customer dimensions helped it generate more than $650 million in revenue last year . In an economy in which the technology sector as a whole fell short of financial targets and customer growth goals, Informatica proved that it is possible to profit from an integrated set of technologies that help IT departments rationalize systems and achieve efficiencies in data management across databases and applications.
Topics: Sales Performance, Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Data Integration, Information Management, Workforce Performance
Cloud computing is having an increasingly large influence over the IT landscape. It’s likely that, whether you realize it or not, corporate data exists has and or is migrating outside the walls of your organization. Recent research by Ventana Research shows that in areas such as customer services, sales, workforce or human capital management, software as a service (SaaS) or cloud-based applications increasingly are being accepted and adopted. In our benchmark research on business intelligence and performance management, for example, only 53 percent of prefer their systems on-premises, and we expect that percentage to decline in the next 12 to 24 months, in which more than one-third of organizations plan to begin using cloud-based or SaaS applications.
Topics: Sales Performance, Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Data Integration, Information Management, Workforce Performance
Near the top of one of the best columns I’ve read on l’affaire Wikileaks is this assertion: “Clearly, there is no longer such a thing as a safe electronic archive, whatever computing's snake-oil salesmen claim. No organisation can treat digitised communication as confidential. An electronic secret is a contradiction in terms.”
Topics: Data Integration, Information Management, Uncategorized
Talend Pushes Boundaries of Open Source Software Model
Talend, a vendor of open source data integration tools, recently announced its acquisition of Sopera, an open source application integration company whose products are based on a service-oriented architecture (SOA). It simultaneously announced an additional $34 million of funding. As I pondered what the announcements mean, I couldn’t help but think of the bigger picture. Is this entrepreneurial action typical of an open source vendor?
Topics: SOA, Talend, Business Intelligence, CIO, Data Integration
If you’ve walked past a playing TV recently, there’s a good chance you’ve noticed that Microsoft thinks it can profit from “The Cloud.” The folks in Redmond would have you store your pictures there so the family can access them, use it to collaborate over the weekend in a small business – you name it, Cloud Power can do it.
The cloud is much discussed in the business arena these days as well, but that conversation is being driven, I suspect, by an interest not in power but in cost. Enterprise system deployments – of ERP systems, CRM, supply chain and logistics management, HR management systems – are time-consuming, and costly, and fraught with hassles and missteps and wrong turns. Wouldn’t it be nice, the thinking goes, to hand that all off to someone else and rather than buying a bunch of hardware and software and installing it in a data center (or data closet), simply rent the device that that system delivers from someone else, taking delivery via the Internet.
You don’t have to think about that very long, do you? “You betcha!” is the answer. As technology, the cloud is hardly a radical advance – it’s the client-server model of 20 years ago brought forward into the 21st century. But it’s now a cost-effective option; if you’re a business executive, you’ll be hearing about it soon if you haven’t already.
But there is one upside to the local data center: The data in it is secure. When your sensitive data is flying through the clouds ad is stored who knows where, how secure is it? I can’t answer that right now, but it’s a question we’re pondering here at Ventana Research, and one we may pursue. What’s your thought?
Let me know your thoughts or come and collaborate with me on Facebook and LinkedIn.
Regards,
Alan Kay – VP Research Management
Topics: ERP, Cloud Computing, Data Integration, Uncategorized, CRM
A colleague recently asked of an online professional group of which we’re members, “Is your personal computer faster than the one the boss gave you?” While answers are still trickling in, it looks pretty clear that the answer is, “Yes, of course.”
Now, we do tend a bit toward the geeky, so there’s a bit of built-in bias. But it also stands to reason that business- and corporate-issued technology tools will lag in performance a bit behind what we choose to have in our dens or studies or family rooms. At home our criteria will be cost, of course, but also the ability to play games, or download entertainment files of various kinds, or shop easily and quickly, or, increasingly, keep up with friends and family on social networking sites.
Business infrastructure marches to an entirely different drummer. It needs to be cost-effective. It needs to be compatible with the systems on which the company operates. It needs to be efficiently supportable by the IT department, whatever form that takes. And it needs to be used for as long as it efficiently delivers value to the company. (Let’s not even talk about smartphones and the like – talk about IT headaches!)
That latter criterion is an interesting one. How does the IT department determine that it is doing what it is charged with as effectively as possible? As it happens, we should have an answer for you pretty soon now. Ventana Research is finishing up benchmark research on IT’s uses of analytics, metrics and KPIs as part of a much larger research look at business analytics. Stay tuned.
Let me know your thoughts or come and collaborate with me on Facebook and LinkedIn.
Regards,
Alan Kay – VP Research Management
Topics: Data Integration, Information Management, IT Analytics
Someone slashed the top on my convertible a few days ago in a futile effort to find something of value. He or she got nothing; the perpetrator also managed to cost me at least the $500 deductible and, far worse, throw me into the maw of the monster that is the auto insurance bureaucracy.
What will come out the other end still remains to be seen; I’ll keep you posted. But what this unexpected event brought home to me – OK, call me a bit strange – is the importance of the information management we research and write about so often.
The police took down the information, and gave me a case number; presumably the incident is recorded in the department’s database. The insurance company gave me a claim number; what that number represents, I presume, is what I told the claims agent on the phone plus a link to my policy information. The claims adjustor came to look at my wounded car, then keyed in its VIN so he didn’t have to manually enter the details about the car, then consulted a parts database for part numbers and pricing and another database for the labor cost of the repairs. Then that got converted to a computer-generated report of the projected repair to me, the insurance company and the shop that will do the work.
So much data; so much information. And so little integration. When we focused our benchmark research on information management, that macro picture reflected what I’m experiencing: two-thirds of companies are still in the early stages of integration the information they rely on to operate. On the other hand, nearly three-fifths of businesses told us they view it as very important to improve information availability and readiness. So there’s hope.
Hope for the big picture, anyhow. As to repairing my convertible top and the jimmied storage compartments, that’s unfortunately another story.
Let me know your thoughts or come and collaborate with me on Facebook and LinkedIn .
Regards,
Alan Kay – VP Research Management
Topics: Data Integration, Information Management
IBM Makes InfoSphere Information Server a Force in IT
In the weeks leading up to and as part of its Information On Demand Conference that my colleague assessed, IBM introduced version 8.5 of InfoSphere Information Server and several related product updates. As my colleague suggested earlier, IBM has an ambitious agenda to provide comprehensive information management capabilities through a combination of product development and acquisitions. The breadth of this portfolio is impressive, and InfoSphere Information Server 8.5 makes significant strides in tying the various pieces together.
Topics: Enterprise Data Strategy, IT Performance, Business Analytics, Business Intelligence, CIO, Data Integration, IBM, Information Management, Information Technology
iWay Software Connects Salesforce Chatter to the Enterprise
It is not easy for businesses to make their operations more efficient, partly because their information systems do not provide notifications of events as they are happening. Most enterprise technology uses batch processing and is designed to move data from one database to another; otherwise it requires people to go and find the data they need. To be more responsive, new technologies capture and process events that are triggered by underlying systems and manage them through complex event processing (CEP). This technology is part of our research in the general category of information management; and in researching the category we call operational intelligence but now CEP is becoming embedded in other technologies in the enterprise.
Topics: Sales Performance, Salesforce.com, Business Collaboration, Business Intelligence, Data Integration, Information Management
Recently I wrote a blog outlining a relatively new offering, Informatica Cloud. I questioned how many companies understood the need for data management and whether they would turn to a cloud-based solution to meet their needs. It seems that my doubts have been addressed with the rapid adoption of it in 2010. At salesforce.com’s recent Cloudforce event in London, I learned that Informatica Cloud now has more than 1,000 customers and that it is the application most often downloaded from salesforce’s AppExchange. Basically, Informatica Cloud allows business users to extract data from one or more systems and have it integrated into another system. Business people pick the systems they want to use and define rules for how integration should take place; the process then happens automatically. All the technology resides “in the cloud” so after a little help getting started from IT, business users can handle their own data integration requirements.
Topics: Business Intelligence, Cloud Computing, Data Integration, Informatica, Information Management
Informatica Simplifies Cloud Integration with New Data Plugs
Businesses continually need to improve their abilities to utilize data generated by their activities and interactions. Retrieving, cleaning and sharing data are ongoing processes, and along with data within the enterprise, applications in cloud computing are becoming critical sources. Vital data about customers and even employees among many other types is distributed across the cloud and must be integrated with the rest of data in the enterprise for applying analytics to gain visibility into the entire business.
Topics: Cloud Computing, Data Integration, Informatica, Information Management
iWay Software Deepens Information Management Expands to Cloud Computing
At the Information Builders 2010 conference I spent some time to learn about the latest in its business intelligence (BI) technology and also performance management, which my colleague has analyzed recently (See: “IBI’s Eye Popping New Performance Management Software”). But I focused more on information management, which is becoming a strategic component of the company’s portfolio. Its iWay Software includes a suite of integration adapters used to interoperate across processes and data types along with its integration server, and I investigated several products that use these two foundation components for various aspects of information management.
Topics: IT Performance, Analytics, Business Intelligence, Data Integration, Information Builders, Information Management
iWay Software Connects Salesforce Chatter to the Enterprise
It is not easy for businesses to make their operations more efficient, partly because their information systems do not provide notifications of events as they are happening. Most enterprise technology uses batch processing and is designed to move data from one database to another; otherwise it requires people to go and find the data they need. To be more responsive, new technologies capture and process events that are triggered by underlying systems and manage them through complex event processing (CEP). This technology is part of our research in the general category of information management; and in researching the category we call operational intelligence but now CEP is becoming embedded in other technologies in the enterprise.
Topics: Sales Performance, Salesforce.com, Business Collaboration, Business Intelligence, Customer & Contact Center, Data Integration, Information Management
Recently I wrote a blog outlining a relatively new offering, Informatica Cloud. I questioned how many companies understood the need for data management and whether they would turn to a cloud-based solution to meet their needs. It seems that my doubts have been addressed with the rapid adoption of it in 2010. At salesforce.com’s recent Cloudforce event in London, I learned that Informatica Cloud now has more than 1,000 customers and that it is the application most often downloaded from salesforce’s AppExchange. Basically, Informatica Cloud allows business users to extract data from one or more systems and have it integrated into another system. Business people pick the systems they want to use and define rules for how integration should take place; the process then happens automatically. All the technology resides “in the cloud” so after a little help getting started from IT, business users can handle their own data integration requirements.
Topics: Business Intelligence, Cloud Computing, Data Integration, Informatica, Information Management
Informatica Simplifies Cloud Integration with New Data Plugs
Businesses continually need to improve their abilities to utilize data generated by their activities and interactions. Retrieving, cleaning and sharing data are ongoing processes, and along with data within the enterprise, applications in cloud computing are becoming critical sources. Vital data about customers and even employees among many other types is distributed across the cloud and must be integrated with the rest of data in the enterprise for applying analytics to gain visibility into the entire business.
Topics: Cloud Computing, Data Integration, Informatica, Information Management
iWay Software Deepens Information Management Expands to Cloud Computing
At the Information Builders 2010 conference I spent some time to learn about the latest in its business intelligence (BI) technology and also performance management, which my colleague has analyzed recently (See: “IBI’s Eye Popping New Performance Management Software”). But I focused more on information management, which is becoming a strategic component of the company’s portfolio. Its iWay Software includes a suite of integration adapters used to interoperate across processes and data types along with its integration server, and I investigated several products that use these two foundation components for various aspects of information management.
Topics: IT Performance, Analytics, Business Intelligence, Data Integration, Information Builders, Information Management
