Analyst Perspectives

IBM acquired SPSS in late 2009 and has been investing steadily in the business as a key component of its overall business analytics portfolio. Today, SPSS provides an integrated approach to predictive analytics through four software packages: SPSS Data Collection, SPSS Statistics, SPSS Modeler and SPSS Decision Management. SPSS is also integrated with Cognos Insight, IBM’s entry into the visual discovery arena.

I was at the Salesforce.com Dreamforce conference this week to hear about the latest advancements from the cloud computing software giant. Salesforce has helped revolutionize cloud computing for business, and its social media and collaborative technologies help advance business processes in sales, customer service and improve the interactions between employees, partners and customers. Salesforce has made great advancements in cloud, social and mobile technology, as I have assessed and my...

I had a refreshing call this morning with a vendor that did not revolve around integration of systems, types of data, and the intricacies of NoSQL approaches. Instead, the discussion was about how its business users analyze an important and complex problem and how the company’s software enables that analysis. The topic of big data never came up, and it was not needed, because the conversation was business-driven and issue-specific.

Our research consistently finds that defects in data are the root cause of a wide range of problems encountered by modern corporations. The magnitude of the problem correlates with the size of the company: Big companies have bigger headaches than midsize ones. Data issues diminish productivity in every part of a business as people struggle to correct errors or find workarounds. Issues with data are a man-made phenomenon, yet companies seem to treat bad data as some sort of force of nature like...

A study by the McKinsey Global Institute published earlier this year suggests a coming shortage of more than 140,000 workers with deep analytical skills and a shortage of more than 1.5 million data-literate managers. I’m not sure how the study defined these roles, but I’d guess that those with deep analytic skills are those folks building the complex models, and the data-literate managers are those executives, middle managers and analysts who interpret the results and use the models to help...

Over the years Tibco has provided infrastructure for enterprise data integration and has built a substantial installed base. Now the company positions itself as supplying next-generation analytics for big data through service-oriented architecture (SOA). SOA has been around for a while; Ventana Research has been tracking it since 2006 and conducted benchmark research on SOA. But it remains a vaguely understood technology. Our research shows that SOA is not clearly defined in the market and that...

In this second in a blog series on business analytics I focus on the increasingly important area of predictive analytics. Our benchmark research into predictive analytics shows that while the vast majority of companies see this technology as important or very important for the future of their organizations, most are not taking full advantage of it. This finding suggests that there is an opportunity for companies to gain competitive advantage by implementing predictive analytics in the near term.

Our benchmark research on business analytics suggests that it is counterproductive to take a general approach to the topic. A better approach is to focus on particular use cases and lines of business (LOB). For this reason, in a series of upcoming articles, I will look at our business analytics research in the context of different industries and different functional areas of an organization, and illustrate how analytics are being applied to solve real business problems.

MicroStrategy, announced version 9.3. The announcement came out of Amsterdam this month just in front of MicroStrategy World, the company’s annual conference for the European market. Release 9.3 delivers significant updates in four main areas: big data, advanced analytics, automated administration and visual data discovery.

My research into customer experience management shows that companies are increasingly aware that the customer experience has a profound impact on business success. In almost equal numbers, participants said it determines the loyalty of customers (21%), the propensity of customers to recommend the company to others (21%), the amount of additional purchases they make (19%) and their general level of satisfaction (19%). Furthermore, companies also realize that good experiences save money, because...