Ventana Research Analyst Perspectives

Digital Technology Agenda for Business in 2016

Posted by Ventana Research on Mar 10, 2016 9:57:10 AM

Technology innovation is accelerating faster than companies can keep up with. Many feel pressure to adopt new strategies that technology makes possible and find the resources required for necessary investments. In 2015 our research and analysis revealed many organizations upgrading key business applications to operate in the cloud and some enabling access to information for employees through mobile devices. Despite these steps, we find significant levels of digital disruption impacting every line of business. In our series of research agendas for 2016 we outline the areas of technology that organizations need to understand if they hope to optimize their business processes and empower their employees to handle tasks and make decisions effectively. Every industry, line of business and IT department will need to be aware of how new technology can provide opportunities to get ahead of, or at least keep up with, their competitors and focus on achieving the most effective outcomes.

Read More

Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, Governance, Mobile Technology, Operational Performance Management (OPM), Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Uncategorized, Workforce Performance, Business Performance Management (BPM), Financial Performance Management (FPM), Information Optimization, Sales Performance Management (SPM)

Cryptic Data: Challenges and Rewards in Finding and Using It

Posted by Robert Kugel on Feb 18, 2016 7:10:21 PM

Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of  available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially those related to human behavior and interaction. The challenges in dealing with big data include having the computational power that can scale to the processing requirements for the volumes involved; analytical tools to work with the large data sets; and governance necessary to manage the large data sets to ensure that the results of the analysis are accurate and meaningful. But that’s not all organizations have to deal with now. I’ve coined the term “cryptic data” to focus on a different, less well known sort of data challenge that many companies and individuals face.

Read More

Topics: Big Data, Data Science, Planning, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, FP&A, Human Capital, Marketing, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Kofax, Statistics, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Business Performance Management (BPM), Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM)

Aria Enables Effective Recurring Revenue Management

Posted by Robert Kugel on Feb 7, 2016 8:29:47 PM

Aria Systems provides companies with software for managing subscription or recurring revenue business models. A recurring revenue business models includes three types of selling and billing structures: a one-time transaction plus a periodic service charge; subscription-based services involving periodic charges; or a contractual relationship that charges periodically for goods and services. Aria’s cloud-based software addresses key requirements of users in the marketing, sales, operations and accounting functions in this type of business.

Read More

Topics: SaaS, Sales, Sales Performance, Customer Engagement, Customer Experience, ERP, Marketing, NetSuite, Office of Finance, Recurring Revenue, customer life cycle, Customer Performance, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Customer Service, Financial Performance, Business Performance Management (BPM), Sales Performance Management (SPM), billing software

Stibo Systems Continues to Advance PIM for Business and IT

Posted by Mark Smith on Dec 20, 2015 6:42:30 PM

Stibo Systems has been providing product information management (PIM) software for decades. Its work has helped many organizations worldwide take control of their product information by developing a master definition that can be published across many channels from Web to digital to print. We recognized its work with customers Delta Faucet and Masco Corp. in our 2015 Ventana Research Leadership Award in Information Management. In 2014 Stibo Systems customer Brady Corp. won a similar award for Information Optimization. I have made it clear  that in our view, when it comes to use all kinds of product content and data in business processes, product information management trumps master data management. Delivering value to business with PIM is much different than managing data infrastructure with MDM. There has been much angst in varying industry analyst views on this market segment. We analyze and rate vendors more rigorously than analyst firms that look at them only through an IT lens. Our methodology and framework put business first and IT second, and that shapes how we score vendors in PIM, MDM and other aspects of the software industry.

Read More

Topics: Master Data Management, Sales, Sales Performance, Supply Chain Performance, Customer Experience, MDM, Mobile Technology, PIM, Stibo Systems, Customer Performance, Operational Performance, Business Performance, Cloud Computing, Financial Performance, Information Management, Business Performance Management (BPM), Financial Performance Management (FPM), Information Optimization, Product Information Management

Informatica Navigates Carefully to Broader Data Management

Posted by Mark Smith on Dec 16, 2015 1:16:15 AM

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.

Read More

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)

Datawatch Bolsters Data Preparation for all Information Assets

Posted by Mark Smith on Dec 10, 2015 10:20:09 PM

The need for businesses to process and analyze data has grown in intensity along with the volumes of data they are amassing. Our benchmark research consistently shows that preparing data is the most widespread impediment to analytic and operational efficiency. In our recent research on data and analytics in the cloud, more than half (55%) of organizations said that preparing data for analysis is a major impediment, followed by other preparatory tasks: reviewing data for quality and consistency (48%) and waiting for data and information (28%). Organizations that want to apply analytics to make more effective decisions and take prompt actions need to find ways to shorten the work that comes before it. Conventional analytics and business intelligence tools are not designed for data preparation, but new software tools can enable business users independently or in concert with IT to perform the tasks needed.

Read More

Topics: Big Data, Sales Performance, Supply Chain Performance, Human Capital, Marketing, Monarch, Operational Performance Management (OPM), Customer Performance, Business Analytics, Business Intelligence, Business Performance, Data Preparation, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Uncategorized, Business Performance Management (BPM), Datawatch, Information Optimization, Risk & Compliance (GRC)

Tidemark Enables More Effective Business Planning

Posted by Robert Kugel on Nov 17, 2015 10:27:58 PM

Tidemark Systems offers a suite of business planning applications that enable corporations to plan more effectively. The software facilitates rapid creation and frequent updating of integrated company plans by making it easy for individual business functions to create their own plans while allowing headquarters to connect them to create a unified view. I coined the term “integrated business planning” a decade ago to highlight the potential for technology to substantially improve the effectiveness of planning and budgeting in corporations, and it remains true that integrating business planning can produce superior results. Companies that maintain direct links between functional or departmental plans more often have a planning process that works well than others. Our next-generation business planning benchmark research shows that two-thirds (66%) of those that maintain such links have a planning process that works well or very well, compared to 40 percent that copy information from individual plans into an overall plan and just 25 percent in which plans have little or no connection.

Read More

Topics: Planning, Sales Performance, Supply Chain Performance, Customer Experience, Human Capital, Marketing Planning, Reporting, Budgeting, Operational Performance, Analytics, Business Performance, Customer & Contact Center, Financial Performance, Business Performance Management (BPM), Business Planning, Financial Performance Management (FPM), Demand Planning, Integrated Business Planning, Project Planning

New Generation of Human Resources Management Systems

Posted by Ventana Research on Nov 9, 2015 9:47:18 PM

Ventana Research defines a human resources management system (HRMS) as the set of applications and associated processes that store and manage the employee information used by an organization’s human resources department. New technologies make it possible for the HRMS to perform better and be easier to use by HR professionals and members of the workforce. The range of evolving technologies impacting the development of the HRMS include business analytics, big data, cloud computing, mobile technology, business collaboration, social media and wearable computing. These advances enable organizations to streamline the processes that the HRMS supports and more efficiently take advantage of competencies that already exist in the workforce. The changes are so substantive for organizations and their HR departments that we have undertaken new research calledNext-Generation Human Resources Management Systems.

Read More

Topics: Social Media, Human Capital, Human Capital Management, Mobile Technology, Operational Performance Management (OPM), Business Collaboration, Cloud Computing, Business Performance Management (BPM), HR, HRMS

Product Information Management Trumps Master Data Management

Posted by Ventana Research on Nov 8, 2015 6:50:41 PM

Ventana Research defines product information management (PIM) as the practice of using information, applications and other technology to effectively support product-related processes across the customer, commerce and supply chain. As organizations increase the number and diversity of products and services they offer to customers and partners, they increasingly need to address limitations in the ways they manage and distribute product information, including related attributes and content that describes the pro­ducts. At the same time, compe­ti­tive pressures require them to be able to incorporate large amounts of new content – video and images, for example – quickly while ensuring that the information present­ed to customers is accurate, operational processes run uninterrupted and timely data is available for business analysis. In an en­vironment in which consumers, suppliers and partners use multiple channels to get to product information – including websites, kiosks, smart­phones and tablets – it is essential that the organization always be able to present complete and up-to-date product information to inspire interest and facilitate purchases.

Read More

Topics: Big Data, Master Data Management, Supply Chain Performance, Governance, Marketing, Operational Performance Management (OPM), CIO, Information Management, Business Performance Management (BPM), Financial Performance Management (FPM), Information Optimization, Product Information Management, Sales Performance Management (SPM)

Oracle Must Pivot to Business Applications

Posted by Ventana Research on Nov 5, 2015 10:18:30 PM

Whatever Oracle’s cloud strategy had been the past, this year’s OpenWorld conference and trade show made it clear that the company is now all in. In his keynote address, co-CEO Mark Hurd presented predictions for the world of information technology in 2025, when the cloud will be central to companies’ IT environments. While his forecast that two (unnamed) companies will account for 80 percent of the cloud software market 10 years from now is highly improbable, it’s likely that there will be relentless consolidation, marginalization and extinction within the IT industry sector driven by cloud disruptions and the maturing of the software business. In practice, though, we expect the transition to the cloud to be slow and uneven.

Read More

Topics: Microsoft, Predictive Analytics, Sales Performance, SAP, Supply Chain Performance, ERP, Human Capital, Mobile Technology, NetSuite, Office of Finance, Reporting, close, closing, Controller, dashboard, Tax, Customer Performance, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, IBM, Oracle, Business Performance Management (BPM), CFO, Data, finance, Financial Performance Management (FPM), Financial Performance Management, FPM, Intacct

Data and Analytics in the Cloud is a Reality Today

Posted by Ventana Research on Aug 20, 2015 7:13:46 AM

Our recently completed benchmark research on data and analytics in the cloud shows that analytics deployed in cloud-based systems is gaining widespread adoption. Almost half (48%) of participating organizations are using cloud-based analytics, another 19 percent said they plan to begin using it within 12 months, and 31 percent said they will begin to use cloud-based analytics but do not know when. Participants in various areas of the organization said they use cloud-based analytics, but front-office functions such as marketing and sales rated it important more often than did finance, accounting and human resources. This front-office focus is underscored by the finding that the categories of information for which cloud-based analytics is most often deemed important are forecasting (mentioned by 51%) and customer-related (47%) and sales-related (33%) information.

Read More

Topics: Big Data, Software as a Service, Operational Performance Management (OPM), Analytics, Business Analytics, Business Collaboration, Business Intelligence, Customer & Contact Center, Operational Intelligence, Business Performance Management (BPM), Data, Information Optimization

Predictive Analytics: Investing and Selecting Software Properly

Posted by Ventana Research on Jul 22, 2015 9:46:57 AM

To impact business success, Ventana Research recommends viewing predictive analytics as a business investment rather than an IT investment.  Our recent benchmark research into next-generation predictive analytics  reveals that since our previous research on the topic in 2012, funding has shifted from general business budgets (previously 44%) to line of business IT budgets (previously 19%). Now more than   half of organizations fund such projects from business budgets: 29 percent from general business budgets and 27 percent from a line of business IT budget. This shift in buying reflects the mainstreaming of predictive analytics in organizations,  which I recently wrote about .

Read More

Topics: Big Data, Microsoft, Predictive Analytics, alteryx, Customer Performance, Analytics, Business Analytics, Business Intelligence, Operational Intelligence, Oracle, Business Performance Management (BPM), Rapidminer

SaaS Buyers and Customers Beware: Data Issues are Cloudy

Posted by Ventana Research on Apr 27, 2015 9:12:04 PM

There’s a long history of companies not paying close enough attention to the contractual elements of acquiring software. Today, this extends into the world of cloud computing. Many companies are choosing to acquire software services through cloud-based providers and increasingly rely on access to cloud-based data, as is shown by our forthcoming benchmark research, in which a large majority of participating companies said that having access to data in the cloud is important or very important. As they say, I’m not a lawyer and I don’t play one on television, so what follows is intended to be nothing more than a conversation starter with legal counsel. But I do advise companies on how to use software to improve their business performance and provide guidance on what software they need to achieve their objectives. From that perspective, let me offer this blanket recommendation: Your company should examine the terms and conditions of its contracts carefully to be certain that it has the ability to control, access and retain its data in single or multitenant cloud-based systems. It should be prepared to add terms and conditions to any software-as-a-service (SaaS) contract to preserve ownership of and access to the data as well as other proprietary elements of that business relationship.

Read More

Topics: SaaS, Sales, Customer Experience, Governance, contract, e-discovery, Customer Performance, Operational Performance, Cloud Computing, Financial Performance, Business Performance Management (BPM)

Does Pricing and Revenue Optimization Make My Bottom Line Look Fatter?

Posted by Ventana Research on Mar 31, 2015 10:00:34 AM

Managing prices has always been an activity of keen interest to businesses, but it has become even more critical to do it well. Over the past decade many companies have found their ability to raise prices has been constrained by intense competition resulting from Internet commerce, global competition and other factors. One tool for dealing with this pressure is price and revenue optimization (PRO), an analytic methodology that calculates how demand varies at different price levels and then uses that algorithm to recommend prices that should optimally balance revenue and profit objectives. Computer-supported PRO began in earnest in the 1980s as the airline and hospitality industries adopted revenue management practices in efforts to maximize returns from less flexible travelers (such as people on business trips) while minimizing the unsold inventory by selling incremental seats on flights or nights in hotel rooms at discounted prices to more discretionary buyers (typically vacationers). Price and revenue optimization algorithms are designed to enable a company to achieve fatter profit margins than are possible with a monolithic pricing strategy. Using PRO, airlines and hotels catering mainly to less price-sensitive business travelers found they could match discounters’ fares and rates to fill available seats and rooms without having to forgo profits from their high-margin customers.

Read More

Topics: Big Data, Performance Management, Sales, Office of Finance, Operational Performance Management (OPM), Analytics, Business Analytics, Business Performance Management (BPM), Financial Performance Management (FPM), Sales Performance Management (SPM), analytical application, Price Optimization

Content not found