Ventana Research recently announced its 2023 research agenda for the Office of Revenue, continuing the guidance we’ve offered for nearly two decades to help organizations realize their optimal value from applying technology to improve business outcomes. Chief Sales and Revenue Officers face an imperative to manage their sales and revenue organizations, but they don’t always have the guidance they need to embrace technology to achieve the best possible outcomes. As we look forward to 2023, we are focusing on the entire selling and buying journey, and in addition focusing on those activities that ensure renewal and expansion as well as newer digital engagement and selling channels. We are looking at applications that simplify processes and tasks across the customer experience, from beginning to end.
The Revolution in Revenue in 2023: Ventana Research Market Agenda
Topics: Sales, Analytics, Internet of Things, Data, Sales Performance Management, Digital Technology, Digital Commerce, Conversational Computing, AI and Machine Learning, mobile computing, Subscription Management, extended reality, intelligent sales, partner management, Sales Engagement
2023 Digital Technology Market Agenda: Innovation for Digital Agility
I’m proud to share Ventana Research’s 2023 Market Agenda for Digital Technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that improve customer, partner and workforce experiences while also increasing organizational effectiveness and agility.
Topics: Analytics, Cloud Computing, Internet of Things, Data, Digital Technology, blockchain, AI and Machine Learning, mobile computing, extended reality, robotic automation, Collaborative & Conversational Computing
Palantir Operationalizes Analytics and Data for Actions and Decisions
Organizations are managing and analyzing large datasets every day, identifying patterns and generating insights to inform decisions. This can provide numerous benefits for an organization, such as improved operational efficiency, cost optimization, fraud detection, competitive advantage and enhanced business processes. By bringing the right, actionable data to the right user, organizations can potentially speed up processes and make more effective operational decisions.
Topics: embedded analytics, Business Intelligence, Internet of Things, AI and Machine Learning, Streaming Analytics
Don’t Rely on Dashboards for Real-Time Analytics
I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously. Technology advances now enable organizations to process and analyze information as it is being collected to respond in real time to opportunities and threats. Not all use cases require real-time analysis and response, but many do, including multiple use cases that can improve customer experiences. For example, best-in-class e-commerce interactions should provide real-time updates on inventory status to avoid stock-out or back-order situations. Customer service interactions should provide real-time recommendations that minimize the time to resolution. Location-based offers should be targeted at the customer’s current location, not their location several minutes ago. Another domain where real-time analyses are critical is internet of things (IoT) applications. Additionally, use cases like predictive maintenance require timely information to prevent equipment failures that help avoid additional costs and damage.
Topics: business intelligence, Analytics, Internet of Things, Data, Digital Technology, AI and Machine Learning, Streaming Analytics, Analytics & Data, Streaming Data & Events
The 2022 Market Agenda for Office of Revenue: New Performance Priority
Ventana Research recently announced its 2022 Market Agenda for the Office of Revenue, continuing the guidance we have offered for nearly two decades to help organizations realize optimal value from applying technology to improve business outcomes. Chief sales and revenue officers and their associated operations teams are experts in their respective fields but may not have the guidance needed to employ technology effectively. As we look to 2022, we are focusing on the entire selling and buying life cycle and the applications that simplify and improve interactions throughout the customer experience.
Topics: Sales, Analytics, Internet of Things, Data, Sales Performance Management, Digital Technology, Digital Commerce, Conversational Computing, AI and Machine Learning, mobile computing, Subscription Management, extended reality, intelligent sales, partner management, Sales Engagement
The Digital Technology Market Agenda for 2022: Innovation for Business Resilience
I’m proud to share Ventana Research’s 2022 Market Agenda for Digital Technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that increase workforce effectiveness and organizational agility, ensuring ongoing operations during any type of disruption.
Topics: Analytics, Cloud Computing, Internet of Things, Data, Digital Technology
How does your organization define and display its metrics? I believe many organizations are not defining and displaying metrics in a way that benefits them most. If an organization goes through the trouble of measuring and reporting on a metric, the analysis ought to include all the information needed to evaluate that metric effectively. A number, by itself, does not provide any indication of whether the result is good or bad. Too often, the reader is expected to understand the difference, but why leave this evaluation to chance? Why not be more explicit about what results are expected?
Topics: Analytics, Business Intelligence, Internet of Things, Data, Digital Technology, AI and Machine Learning, Streaming Analytics
Using Event Data in Financial Services to Improve Business Processes
Our research shows that nearly all financial service organizations (97%) consider it important to accelerate the flow of information and improve responsiveness. Even just a few years ago, capturing and evaluating this information quickly was much more challenging, but with the advent of streaming data technologies that capture and process large volumes of data in real time, financial service organizations can quickly turn events into valuable business outcomes in the form of new products and services or revenue.
Topics: Analytics, Internet of Things, Data, Digital Technology, Streaming Analytics
Use External Data Platform to Improve Analytics
Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers. Organizations also identified government data, market data, environmental data and location data as important external data sources. External data is not just part of ML analyses though. Our research shows that external data sources are also a routine part of data preparation processes, with 80% of organizations incorporating one or more external data sources. And a similar proportion of participants in our research (84%) include external data in their data lakes.
Topics: Analytics, Business Intelligence, Internet of Things, Data, Digital Technology, Lease Management, AI and Machine Learning, Streaming Data, Streaming Analytics
Expert.ai Earns 2021 Digital Innovation Award for Digital Technology
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.
Topics: Customer Experience, Analytics, Internet of Things, Digital Technology, blockchain, natural language processing, Awards, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, extended reality
Sisense Earns Analytics Digital Innovation Award for 2021
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.
Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Digital Technology, natural language processing, AI and Machine Learning
Palantir Earns Overall Digital Innovation Award for 2021
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.
Topics: Customer Experience, Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Continuous Planning, embedded analytics, Learning Management, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Business Planning, Contact Center, Data, Product Information Management, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, Revenue, blockchain, natural language processing, data lakes, Total Compensation Management, robotic finance, Predictive Planning, employee experience, candidate engagement, Conversational Computing, Continuous Payroll, AI and Machine Learning, collaborative computing, mobile computing, continuous supply chain, Subscription Management, agent management, extended reality, intelligent marketing, sales enablement, work experience management, lease and tax accounting, robotic automation
Using Event Data in Manufacturing to Improve Business Processes
Event data can be used to enhance existing processes, but it can also be used to dramatically impact operations, revenue models and the bottom line for manufacturers. Our Benchmark Research shows 95% of manufacturers consider it important to speed the flow of information and improve responsiveness within business processes. In this perspective I’ll share how manufacturers are working with event data to transform their organizations.
Topics: Customer Experience, Information Management, Internet of Things, Data, Digital Technology, Operations & Supply Chain
Informatica Continues to Evolve Data Management Platform
Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management. The goal is to understand how to manage the growing volume of data in real time, across all sources and platforms, and use it to inform, streamline and transform internal operations. Over the years, the adoption of cloud computing has gained momentum with more and more organizations trying to make use of applications, data, analytics and self-service business intelligence (BI) tools running on top of cloud-computing infrastructure in order to improve efficiency. However, cloud adoption means living with a mix of on-premises and multiple cloud-based systems in a hybrid computing environment. The challenge is to ensure that processes, applications and data can still be integrated across cloud and on-premises systems. Our research shows that organizations still have a significant requirement for on-premises data management but also have a growing requirement for cloud-based capabilities.
Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Information Management, Internet of Things, Data, natural language processing, AI and Machine Learning
Salesforce Sales Cloud: Evolving to Meet the 360 Needs of Sales
There is no doubt that the pandemic has accelerated the existing need for new technology that can help sales professionals do their jobs well in this quickly evolving market. In addition, market trends are driving the need for functionality that is aimed at the front-line sales professional and the manager, highlighting the demand for tools that can help arrest the decline in quota attainment, as well as helping salespeople supplement their traditional focus on sales quotas with activities such as prospecting.
Topics: Sales, embedded analytics, Analytics, Internet of Things, Sales Performance Management, natural language processing, AI and Machine Learning, sales enablement
The 2021 Market Agenda for Office of Sales: The Revolution for Revenue
Ventana Research recently announced its 2021 research agenda for the Office of Sales, continuing the guidance we’ve offered for nearly two decades to help organizations realize optimal value from applying technology to improve business outcomes. Chief sales and revenue officers are experts in their respective fields but may not have the guidance needed to employ technology effectively. As we look to 2021, we are focusing on the entire selling and buying journey and the applications that simplify interactions throughout the customer experience.
Topics: Sales, Analytics, Financial Performance, Internet of Things, Data, Sales Performance Management, Digital Technology, Digital Commerce, AI and Machine Learning, mobile computing, Subscription Management, extended reality, intelligent sales, partner management, Office of Sales, Machine Conversational Computing, Sales Engagement
The Digital Technology Market Agenda for 2021: Predictability in Unpredictable Times
I’m proud to share Ventana Research’s 2021 market agenda for digital technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that increase workforce effectiveness and organizational agility, ensuring ongoing operation during any type of disruption.
Topics: Big Data, Analytics, Cloud Computing, Internet of Things, Digital Technology, Robotic Process Automation, blockchain, Conversational Computing, AI and Machine Learning, mobile computing, extended reality
Tableau and Salesforce bring New Look to Business Analytics
Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy. The necessary tools are often separate, but our research shows organizations prefer an integrated environment. In our Data Preparation Benchmark Research, we found that 41% of participants use Analytics and Business Intelligence tools for data preparation.
Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Preparation, Information Management, Internet of Things, Data, Digital Technology, natural language processing, Conversational Computing, AI and Machine Learning
Augmented reality (AR) is a critical component of digital technology. The role of AR is to virtualize the visualization and engagement of assets and products with information that can enhance the value of it for many purposes including manufacturing, marketing, sales and service. Consider how manufacturing and field service organizations are starting to use AR technology for hands-free call-up of service manuals using glasses so technicians can verify progress without looking away from their work.
Topics: Sales, Business Continuity, Internet of Things, Business Planning, Digital Technology, Operations & Supply Chain, Digital transformation, mobile computing, extended reality
The Art and Science of Sales from the “Inside Out"
Although historically there has been a hard divide between what are colloquially called “Inside and Field Sales,” changes over the last 10 years have narrowed the distinction. The pandemic has only accelerated the path to unifying sales activities commonly performed to engage buyers and customers. Characterized by a very disciplined and controlled endeavor, inside sales teams have been heavier users of technology. This has enabled more productive engagement including emails and calls, as well as provided techniques such as gamification to set competitive internal dynamics that help motivate sales professionals.
Topics: Sales, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Sales Performance Management (SPM), natural language processing, AI and Machine Learning, intelligent sales, sales enablement
8x8: Open Communications Platform earns our 13th Digital Innovation Award for Digital Technology
The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance business and IT.
Topics: Customer Experience, Human Capital Management, Marketing, Analytics, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, Operations & Supply Chain, blockchain, employee experience, candidate engagement, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, agent management, extended reality, business digital commerce, work experience management
Zuora and Subscription Management: Suite and Platform to Address Digital Business
The last decade has seen exponential growth amongst subscription-based business models. Pioneered in the B2C market with cloud-based SaaS offerings, the last decade has seen exponential growth in the share of the economy that is now subscription based. Increasingly, this modern business model is permeating throughout more traditional style industries and companies. But regardless of whether a company is natively subscription based, or is transitioning, maintaining this growth requires organizations to foster long-term relationships with customers and deliver products and services that get better over time.
Topics: Sales, Customer Experience, Office of Finance, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Contact Center, Product Information Management, Price and Revenue Management, Digital Commerce, Enterprise Resource Planning, ERP and Continuous Accounting, natural language processing, robotic finance, AI and Machine Learning, revenue and lease accounting, Subscription Management, agent management, intelligent sales, sales enablement
Subscription and Usage Management Technology Needs for the Modern Economy
Subscription-based business models have seen exponential growth over the last decade. The growth of this recurring revenue business model, where a subscriber commits to repeatedly pay for a good or device for a fixed or indefinite timeline, has been caused by the shift from the one-time selling of physical products to selling digital services on a subscription basis. The first phase of this transformation was led by “digitally native” organizations, typically B2C, that have only ever offered services via subscription. Although a large market in its own right, it is still dwarfed by businesses selling physical products. But this market is also changing, as more and more traditional organizations transition some or all of their revenue to the subscription economy. Ventana Research asserts that through 2023, fewer than half of organizations will have the correct technology in place to support such a transition. This Analyst Perspective looks at some of the key implications of this transition and what it means for technology choices as companies move toward a subscription management approach to overseeing the subscribers and usage of their products and services.
Topics: Sales, Customer Experience, Office of Finance, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Contact Center, Product Information Management, Price and Revenue Management, Digital Commerce, Enterprise Resource Planning, ERP and Continuous Accounting, natural language processing, robotic finance, AI and Machine Learning, revenue and lease accounting, Subscription Management, agent management, intelligent sales, sales enablement
The Business Continuity Imperative: Price and Revenue Management for Resilience in 2020 and Beyond
Economic dynamics and market pressures during a black-swan event can wreak havoc on efforts to effectively manage revenue operations and pricing for business continuity. For many organizations, environmental changes disrupt the methods by which these essential business processes are managed can be disrupted, damaging the revenue streams that create profitability. The array of pricing strategies and related promotional tactics across channels for configure, price and quote (CPQ), digital commerce and subscription management can challenge the best of organizations. Leadership must examine the agility of pricing management to determine if they have ability to make and manage changes to determine the effectiveness of decisions. This requires visibility into revenue operations and selling channels, which in turn requires programs, processes and technology designed to meet the needs of what is called price and revenue management (PRM).
Topics: Sales, Customer Experience, Human Capital Management, Marketing, Analytics, Business Intelligence, Collaboration, Internet of Things, Data, Product Information Management, Sales Performance Management, Workforce Management, Workforce Planning, Price and Revenue Management, Total Compensation Management, Conversational Computing
The Business Continuity Imperative: Experience Management across Business for Organizational Effectiveness in 2020 and Beyond
Over the past several months, I have discussed a wide range of topics that organizations must consider and appropriately prioritize to maintain business continuity during periods of upheaval. But sometimes it’s important to take a step back and reflect on a critical and recurring theme: experiences. The array of experiences across the workforce and business processes both inside and outside of the organization are an essential part of an organization’s success. Leadership must give these experiences the attention they deserve, and this requires visibility into operations and the tools to measure effectiveness, especially during black-swan events. Fulfilling this objective requires the programs, processes and technology designed to meet the needs of what is called experience management (XM).
Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Analytics, Business Intelligence, Collaboration, Internet of Things, Data, Sales Performance Management, Workforce Management, Workforce Planning, Operations & Supply Chain, Total Compensation Management, Conversational Computing
The Business Continuity Imperative: The Continuous Planning Experience and Organizational Agility in 2020 and Beyond
Business planning is an essential part of an organization’s focus on its future performance and overall potential because it ensures continuous operations, even in black-swan events. Planning across the entire organization needs to be a critical priority and leadership should give it the attention it deserves. In challenging times, a focus on execution tends to take hold — this is not unreasonable but in focusing on satisfying immediate customer and workforce needs and putting out fires, business leaders too often forget that forward-looking continuous planning is essential to achieving desired outcomes. Fulfilling this objective requires technology designed to meet these needs for every business process in the organization.
Topics: Sales, Human Capital Management, Office of Finance, Continuous Planning, Analytics, Business Intelligence, Collaboration, Internet of Things, Data, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, Total Compensation Management, Predictive Planning, Conversational Computing
The Business Continuity Imperative: Analytics and Data for Engaging Digital Experiences in 2020 and Beyond
Analytics and data provide visibility into an organization’s past, present and potential performance. However, not all organizations are using analytics that provide timely insights — insights that not just reflect what happen but direct a successful course for the future. Demand for personalized and relevant insight only intensifies in a black-swan event. To maintain business continuity in times of pressure, it is critical that organizations not waste any time or resources when using analytics and data to optimize operations and decision-making. Just having an analytics and data-first mentality and operating in the cloud is insufficient for success, as those are just part of an effective data and analytics effort. Organizations also should include data science and machine learning that can provide an excellent digital experience; unfortunately, this is no simple task.
Topics: business intelligence, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Data, Digital Technology, natural language processing, Conversational Computing, AI and Machine Learning
The Business Continuity Imperative: The Partner Experience and Channel Performance Agenda
Partners play a key role in the revenue and growth of every organization. Whether channel selling is in assistance to internal sales or independent, what happens in partnering has ramifications that are simply too important to underestimate. The imperative to maintain business continuity with channel partners becomes painfully clear in a global pandemic, and that imperative demands that organizations cultivate partner excellence and channel performance. This effort should start with partner leadership and operations, with the objective of building channel relationships that can survive the test of time. Effective sales channel partnerships are built on mutual trust and a shared belief in the market opportunity, and recruiting and managing partners must be supported by effective processes and technology. The health of these relationships and the resulting revenue from the channel hinges on an effective partner experience, and this requires technology investments that enable leaders to not just manage channel performance, but help inspire it every single day.
Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Analytics, Internet of Things, Data, Digital Technology, Operations & Supply Chain, Conversational Computing, partner management, Partner Experience
The Business Continuity Imperative: The Supplier Relationship and Experience
Suppliers play a critical role in supporting the operations and processes of every organization. Whether direct or indirect, an organization’s relationship with its suppliers has ramifications that are perilous to underestimate. The imperative to maintain business continuity becomes painfully clear in a global pandemic, and that imperative demands that organizations cultivate excellent supplier relationships.
Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Analytics, Internet of Things, Data, Digital Technology, Operations & Supply Chain, Conversational Computing
The Business Continuity Imperative: The Voice and Mission of Your Customer Experience
Supercharging the customer experience (CX) is more than just an opportunity. It’s essential for every organization that looks to optimize engagement at every moment of the customer journey. In times such as these, when business continuity is a top priority, organizations must address the customer experience, especially if it has not been a focal point of the executive team.
Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, Operations & Supply Chain, Intelligent CX, Conversational Computing
Effectively managing data privacy and security is a high-stakes matter. When an organization doesn’t get it right, it often becomes front-page news and occasionally becomes a subject of litigation. Yet organizations face an equally challenging imperative to ensure that business users have easy access to the data they need. Depending on how they are implemented, data governance policies can inhibit access to data, making it harder to find and utilize the data assets of an organization.
Topics: Big Data, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things
Ventana Research recently announced its 2020 research agenda for analytics, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes.
It’s been exciting to follow the emergence of innovative capabilities in the analytics market, but for businesses it can be challenging to stay on top of all these changes. To help, we craft our research agenda using our firm’s knowledge of technology vendors and products and our experience with and expertise on business requirements.
Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, natural language processing, AI and Machine Learning
The Ventana Research Digital Technology Agenda in 2020
Ventana Research recently announced its 2020 research agenda for digital technology, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. While we have seen more than four decades of digital transformation in the systems and tools businesses rely on, recent years have yielded transformative approaches to technology that can finally actually change the way people and processes work, rather than just make traditional processes more efficient.
Topics: Analytics, Internet of Things, Data, Digital Technology, blockchain, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, extended reality
Blockchains Pose Problems of Persistence and Trust
I’ve written before about blockchain’s significant potential. A lot of the current discussion on the topic centers on cryptocurrencies and financial trading platforms, both of which are already in operation. However, my focus is on its applicability to business generally, especially in B2B commerce, where I believe there is significant potential for it to serve as a universal data connector. There’s also a great deal of potential for blockchain to provide individuals with greater power in managing their identity and greasing the wheels of trade. That noted, those designing and planning to implement commerce-related blockchains must address fundamental issues if blockchain technology is to achieve its potential.
Topics: Sales, Human Capital Management, business intelligence, Collaboration, Internet of Things, Data, Product Information Management, Digital Commerce, Enterprise Resource Planning, blockchain, candidate engagement, collaborative computing, continuous supply chain
A 360-Degree View of the Customer Journey Can Provide Customer Experience Insights
For interactions with customers to go well, organizations must manage an ever-increasing array of engagement channels. Our research finds that organizations expect to see interaction volumes increase on all channels, especially digital ones such as text-based messaging, chat, mobile and social apps. Unfortunately, the systems that manage these channels are typically disparate and uncoordinated and may not use the same underlying technology. This makes it difficult for organizations to coordinate customer interactions consistently and provide the best possible customer experience.
Topics: Customer Experience, Voice of the Customer, business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, AI and Machine Learning, Subscription Management, agent management, extended reality
Today’s intense competition requires that companies know as much as they can about their customers in order to anticipate their needs and deliver a superior customer experience. However, many organizations struggle to do this well. Implementing initiatives to improve customer value across any department or process involving customers requires both in-depth visibility into current operations and excellent metrics.
Topics: Customer Experience, Voice of the Customer, business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Internet of Things, Contact Center, Data, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, Subscription Management, agent management, extended reality
Dynamic Insights Research on Sales Analytics Guides Innovation, not Evolution
Having effective analytics enables businesses to understand far better than ever before the data they’re collecting, and to do so in greater volumes and more forms. These new capabilities are especially relevant to sales organizations. When applied to sales data, analytics can help sales teams achieve quotas and forecast more consistently, as well as understand the impacts of incentives and maximize the potential of territories, all of which help improve sales performance. These benefits provide the foundation for a business case to adopt analytics tools that generate information to guide actions and decision-making for sales organizations.
Topics: Customer Experience, Voice of the Customer, business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, AI and Machine Learning, Subscription Management, agent management
Dynamic Insights from Research on Finance Analytics
By itself, data isn’t useful for business; the application of analytics is necessary to transform data into actionable information. Data analysis of one sort or another has long been a core competence of finance departments, applied to balance sheets, income statements or cash flow statements. Today, however, Finance must go beyond these basics by expanding the scope of the data being examined to include all financial and operational information that can yield actionable insights. Analysis thus should include, for example, data from the systems that manage sales operations, human resources and field service and that data must be available to all departments and applications that need it.
Topics: Customer Experience, Human Capital Management, Voice of the Customer, embedded analytics, Learning Management, Analytics, Business Intelligence, Collaboration, Data Governance, Data Lake, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Product Information Management, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Technology, Digital Marketing, Digital Commerce, ERP and Continuous Accounting, blockchain, natural language processing, robotic finance, Predictive Planning, candidate engagement, Intelligent CX, Conversational Computing, Continuous Payroll, AI and Machine Learning, revenue and lease accounting, collaborative computing, mobile computing, Subscription Management, total rewards management, intelligent marketing, intelligent sales
What’s the easiest way to completely immobilize a 500,000-ton ship?
Lose a sheet of paper.
The paperwork that accompanies international trade is a serious source of friction, inefficiency — and therefore cost — in supply chain execution. Trade documentation requires massive amounts of paper that today can be replaced by digital data. In 2018, Maersk, the world’s largest shipping company, teamed up with IBM to create TradeLens, a digital platform that utilizes blockchain technology as a secure, unified source of trade transaction data used by businesses, financial institutions and government authorities. TradeLens is designed to enable all participants to connect, share information and collaborate, providing them with a comprehensive view of the data they need to transact trade. The system makes it possible to digitally collaborate in handling their global supply chains.
Topics: Office of Finance, Continuous Planning, Internet of Things, Data, Operations & Supply Chain, Enterprise Resource Planning, blockchain, continuous supply chain
Historical Databases: Becoming a Thing of the Past?
Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.
Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Lake, Information Management, Internet of Things, Data, Digital Technology, AI and Machine Learning
“Platform,” as used in the world of technology, originally referred to an operating system on which one could construct software applications. More recently, its usage has been expanded to apply to two types of business models. One enables third parties to create products and services that are complementary to a company’s core technology. For instance, both Apple and Salesforce have attracted a wide array of third-party software developers whose offerings greatly increase the value of each software vendor’s platform to its customers. The second, such as Amazon’s marketplace, Facebook, Twitter and Uber, facilitates transactions and interactions. This latter type adds value by reducing transaction frictions and increasing efficiency and, in attracting large numbers of people to the platform, enables innovative business offerings to take advantage of Metcalf’s law — the “network effect.”
Topics: Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Continuous Planning, Information Management, Internet of Things, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, robotic finance, Predictive Planning, revenue and lease accounting, collaborative computing, mobile computing, Subscription Management
How to Prove You Aren’t a Dog: Blockchains For Identity Management and Certification
Identity management is an old problem that has taken on new dimensions in the digital world. In 1993, at the dawn of the World Wide Web (WWW), The New Yorker ran a cartoon featuring two dogs talking, one perched in front of a computer. The caption reads: “On the Internet, nobody knows you’re a dog.” The phrase quickly evolved into a meme highlighting the issue of identity uncertainty in the new digital environment.
Topics: Human Capital Management, Office of Finance, Learning Management, Internet of Things, Data, Workforce Management, Digital Technology, ERP and Continuous Accounting, blockchain, candidate engagement, collaborative computing
The Internet of Things: Real-Time Data and Analytics Enable Business Innovation
The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation means that virtually any appropriately designed device can generate and transmit data about its operations, which can facilitate monitoring and a range of automatic functions. To do this IoT requires a set of event-centered information and analytic processes that enable people to use that event information to make optimal decisions and take act effectively.
Topics: business intelligence, embedded analytics, Analytics, Collaboration, Internet of Things, Data, Information Management (IM), Digital Technology, data lakes, AI and Machine Learning
Big Data for Business: A Requirement for Today’s Business Analytics
Organizations now must store, process and use data of significantly greater volume and variety than in the past. These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.
Topics: Analytics, Business Intelligence, Data Governance, Data Preparation, Information Management, Internet of Things, Data, Digital Technology, blockchain, data lakes, AI and Machine Learning
MicroStrategy recently held their annual user conference, MicroStrategy World 2019. This year's conference brought 2,100 customer attendees plus partners to the Phoenix Convention Center in Phoenix, AZ. The big news of the event was the introduction of MicroStrategy HyperIntelligence™, a platform tool designed to directly inject analytics into business applications.
Topics: MicroStrategy, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, AI
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
Research Agenda Explores Evolving World of Analytics in 2018
We at Ventana Research recently published our research agendas for 2018. Analytics and business intelligence are evolving and so is our research on their use across practice areas. Earlier research has shown that analytics can deliver significant value to organizations; for example, our predictive analytics research shows that 57 percent of organizations reported achieving a competitive advantage and half created new revenue opportunities with predictive analytics. Waves of investment in self-service analytics have propelled the market for analytics tools, significantly empowering line-of-business organizations to create their own analytics and set their own analytic priorities. But organizations are also beginning to recognize some of the limitations of current analytics implementations – for self-service, for example. Our Data Preparation Benchmark Research reveals that fewer than half (42%) of organizations are comfortable allowing business users to work with data not prepared by IT. Our research this year will continue to explore both the successes and challenges organizations face as they continue to use analytics and BI.
Topics: Machine Learning, Analytics, Business Intelligence, Collaboration, Internet of Things, IOT, Artificial intelligence, natural language processing, Natural Language Generation
Joining the Ventana Research Team and Community
I’m thrilled to announce to my HCM vendor and practitioner network as well as the ever-expanding Ventana Research community that I’m now directing Ventana’s HCM practice. I will be working closely with our CEO and Chief Research Officer Mark Smith, who is a fellow HCM enthusiast and thought leader.
Topics: Big Data, Data Science, Mobile, Human Capital Management, Machine Learning, Learning Management, Analytics, Cloud Computing, Collaboration, Internet of Things, HRMS, Workforce Management, Payroll Optimization, Customer Digital Technology
Fra Luca Pacioli, a 15th-century Franciscan friar living in what’s now Italy, is credited with codifying double-entry bookkeeping, which is the foundation of accounting. Pacioli, a polymath, was well acquainted with his contemporary and fellow polymath Leonardo Da Vinci. So, given they were at times collaborators, it’s fitting that one of the most important applications of SAP’s Leonardo technology will be in helping to disrupt finance and accounting organizations in corporations.
Topics: ERP, Machine Learning, Office of Finance, Internet of Things, CFO, Artificial intelligence, AI, Leonardo
Technology Improves Customer Experience: Does Yours?
Our benchmark research into next-generation customer engagement finds that three-quarters (77%) of organizations participating in the research said it is very important to improve the way they engage with customers. The two main drivers behind this are improving the customer experience (cited by 74%) and improving performance of the customer service organization (70%). This is important because most companies said their customers have good experiences, but only one-third said that experience is excellent.
Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Cloud Computing, Collaboration, Customer Service, Internet of Things, Contact Center, Digital Technology, Omnichannel, Customer Journey Maps, Billing and Recurring Revenue
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
Genesys Advances Engagement and Optimization of Customers
In tracking Genesys for several years I have seen it grow through a series of product developments and acquisitions – from predominantly selling call routing and computer/telephony integration (CTI) software to providing a suite of products that manage inbound and outbound, assisted and digital channels of customer engagement. Continuing this expansion Genesys recently acquired Interactive Intelligence and Silver Lining. These new assets signal another round of transformation as the company builds support for what I call a customer experience hub – a combination of products to support all aspects of enterprise-wide customer engagement.
Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Analytics, Cloud Computing, Collaboration, Customer Service, Internet of Things, Contact Center, Digital Technology
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
ShoreTel Offers Communications and Contact Centers
Until recently most organizations deployed systems on their own premises to build communications and contact center infrastructures, which often required them to integrate products from several vendors. In the past few years many vendors have moved their systems to the cloud, and others have begun as cloud-based suppliers. This trend has opened up the opportunity for more organizations to take advantage of modern communication systems and contact centers. Using the cloud for either, or both can save money and resources, reduce risk, and make available more integrated, multi-channel systems. While the adoption of such systems has undoubtedly increased and is likely to continue to do so, our benchmark research into next-generation contact centers in the cloud finds that many organizations still prefer to remain on premises, and adoption of cloud-based systems occurs on a case-by-case basis. In addition, many organizations look for vendors that support multiple models so they have the option of starting out using one model but transitioning later to another, including to a hybrid model in which some systems are on-premises and others are cloud-based..
Topics: Big Data, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Wearable Computing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Internet of Things, Contact Center, Digital Commerce, Subscription Billing
IoT Challenges Organization and Technological Readiness
The Internet of Things (IoT) is a technology that extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This advance enables virtually any device to transmit its data, to which analytics can then be applied to facilitate monitoring and a range of operational functions. IoT can deliver value in several ways. It can provide organizations with more complete data about their operations, which helps them improve efficiencies and so reduce costs. It also can deliver a competitive advantage by enabling them to reduce the elapsed time between an event occurring and operational responses, actions taken or decisions made in response to it.
Topics: Big Data, Wearable Computing, Analytics, Internet of Things, Digital Technology
Big data initially was characterized in terms of “the three V’s,” volume, velocity and variety. Nearly five years ago I wrote about the three V’s as a way to explain why new and different technologies were needed to deal with big data. Since then the industry has tackled many of the technical challenges associated with the three V’s. In 2017 I propose that we focus instead on a different letter, which includes these A’s: analytics, awareness, anticipation and action. I’ll explain why each is important at this stage of big data evolution.
Topics: Data Science, Machine Learning, Analytics, Business Intelligence, Collaboration, Data Preparation, Internet of Things, Information Optimization
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
In 2016 Ventana Research saw a significant shift in the customer engagement and contact center software markets. Our benchmark research into the next-generation contact center in the cloud shows that for 70 percent of companies, customer experience is and will be an important way of competing; the largest growth in ways of competing is to introduce digital self-service, which will increase by 12 percent. To support those changes, organizations have introduced more channels of engagement, to the extent that our research shows the average has grown to eight channels. Our benchmark research into next-generation customer engagement shows that in nearly half (47%) of organizations these channels are managed as silos, which indicates that most organizations still operate multiple channels rather than supporting omnichannel engagement. The next-generation contact center research confirms that customer engagement is an enterprise-wide issue but one-third (33%) of companies struggle to provide consistent responses across touch points.
Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Analytics, Cloud Computing, Collaboration, Customer Service, Internet of Things, Contact Center
Research Agenda Will Guide Business Analytics in 2017
Ventana Research analysts recently published our research agendas for 2017. As we put together these plans we think about the forces that are shaping the markets that we cover and then craft agendas that study these issues to provide insights for our community. I’ve been working in the business intelligence (BI) and analytics market for nearly 25 years, and throughout that time the industry has been trying to make analytics useful to increasingly wider audiences. That focus continues to today. Better search and presentation methods, including visual discovery and natural-language processing, are promising ways to engage more users. We also see organizations supporting their users in specific functional roles with relevant and accessible analytics. My colleagues examine these issues as part of their agendas in the Office of Finance, Sales, Marketing, Customer Experience, Operations and Supply Chain, and Human Capital Management. While their agendas include analytics within specific domains, my own research focuses on a range of analytics issues across domains including cloud computing, mobility, collaboration, data science and the Internet of Things.
Topics: Big Data, Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, 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
The big data market continues to evolve, as I have written previously. Vendors are attempting to differentiate their offerings as they seek to encourage customers to pay for technology that they could potentially download for free.
Topics: Big Data, Analytics, Business Intelligence, Internet of Things, Information Optimization
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
Pardon the Interruption: Industry Veteran Returns to Ventana Research
Some followers of Ventana Research may recall my work here several years ago. Here and elsewhere I have spent most of my career in the data and analytics markets matching user requirements with technologies to meet those needs. I’m happy to be returning to Ventana Research to resume investigating ways in which organizations can make the most of their data to improve their business processes; for a first look, please see our 2016 research agenda on Big Data and Information Optimization. I relish the opportunity to conduct primary market research in the form of Ventana’s well-known benchmark research and to help end users and vendors apply the information collected in those studies.
Topics: Big Data, Predictive Analytics, Analytics, Business Analytics, Business Intelligence, Information Management, Internet of Things, IOT, Operational Intelligence, Unicorns, Information Optimization
Anodot Provides Anomaly Detection and Operational Intelligence
A new company has emerged in the market for real-time analytics software. Anodot came out of stealth mode in late 2015 with $3 million in funding. It is led by three founders: CEO David Drai, whose company Cotendo was acquired by networking company Akamai Technologies in 2012; Ira Cohen, chief data scientist, who previously held that position at Hewlett-Packard; and Shay Lang, who serves as VP of R&D. Unlike most vendors in the space, the company is delivering anomaly detection and operational intelligence through software as a service (SaaS).
Topics: Big Data, Predictive Analytics, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Internet of Things, Operational Intelligence, Uncategorized
Splunk Takes on Internet of Things and Bolsters Enterprise Security
Splunk’s annual gathering, this year called .conf 2015, in late September hosted almost 4,000 Splunk customers, partners and employees. It is one of the fastest-growing user conferences in the technology industry. The area dedicated to Splunk partners has grown from a handful of booths a few years ago to a vast showroom floor many times larger. While the conference’s main announcement was the release of Splunk Enterprise 6.3, its flagship platform, the progress the company is making in the related areas of machine learning and the Internet of Things (IoT) most caught my attention.
Topics: Big Data, Predictive Analytics, Machine Learning, IT Analytics & Performance, Operational Performance, Plunk, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Management, Internet of Things, Operational Intelligence, Data, Information Optimization
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
At its annual industry analyst summit last month and in a more recent announcement of enterprise support for parallelizing the R language on its Aster Discovery Platform, Teradata showed that it is adapting to changes in database and analytics technologies. The presentations at the conference revealed a unified approach to data architectures and value propositions in a variety of uses including the Internet of Things, digital marketing and ETL offloading. In particular, the company provided updates on the state of its business as well as how the latest version of its database platform, Teradata 15.0, is addressing customers’ needs for big data. My colleague Mark Smith covered these announcements in depth. The introduction of scalable R support was discussed at the conference but not announced publicly until late last month.
Topics: Big Data, Teradata, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Internet of Things, Operational Intelligence, Teradata Aster
Information Builders Innovates in Data Visualization and Operational Intelligence
Information Builders announced two major new products at its recent annual user summit. The first was InfoDiscovery, a tool for ad hoc data analysis and visual discovery. The second was iWay Sentinel, which allows administrators to manage applications in a proactive and dynamic manner. Being a privately held company, Information Builders is not a household name, but it is a major provider of highly scalable business intelligence (BI) and information management software to companies around the world.
Topics: Mobile, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Builders, Information Management, Internet of Things, Operational Intelligence, InfoDiscovery
