Mainstream BI continues to be more vision than reality, but how about mainstream analytics? This week, visualization and analytics vendor TIBCO Spotfire took one step closer to making that a reality with its 3.1 release.

Cindi Howson, Founder, BI Scorecard

March 12, 2010

2 Min Read

"Mainstream BI" continues to be more vision than reality, but how about mainstream analytics? This week visualization and analytics vendor TIBCO Spotfire took one step closer to making that a reality with its 3.1 release.

Statistical analysis and predictive analytics require expertise in both the data and statistical methods. Consuming the results of such analyses, however, does not. So imagine an expert who creates a model that optimizes which customer is most likely to respond to a marketing campaign. The process of determining which factors (such as age, gender, income, and customer tenure) most predict likelihood to respond is something the expert normally does. So the expert runs the model, refines the model for maximum response rates, and ultimately gives a list to the marketing department of which customers are their best targets.In Spotfire 3.1, there are two new aspects that make predictive analytics more accessible to the final decision-makers (in this example, the marketing department). First, parameters allow a business user to select the variables that go into the model. So maybe age really doesn't provide the best likelihood to respond. Maybe, instead, it's education level. Via a simple parameter drop down, a business user can choose which factors they'd like to use as input to the model.

Second, the business user can see the results of the model via an intuitive dashboard from within Spotifire. The R engine is still processing the model behind the scenes, but the results don't stay off to the side as is often the case today.

A few vendors have tried at least to facilitate the consumption of the results of models, with varying ease and effectiveness. SAS, for example, can surface stored processes in Web Report Studio. MicroStrategy's optional Data Mining Services would be another example. And yet, neither is particularly widely adopted, partly for complexity reasons and partly for licensing reasons. A few weeks ago, SAS previewed a new product that would be a big enhancement to "mainstream predictive analytics," but details are under NDA.

So while "mainstream BI" may still be more of a vision, this release of Spotfire brings "mainstream predictive analytics" one step closer to reality.

Sincerely, Cindi Howson, BI Scorecard"Mainstream BI" continues to be more vision than reality, but how about mainstream analytics? This week, visualization and analytics vendor TIBCO Spotfire took one step closer to making that a reality with its 3.1 release.

About the Author(s)

Cindi Howson

Founder, BI Scorecard

Cindi Howson is the founder of BI Scorecard, a resource for in-depth BI product reviews based on exclusive hands-on testing. She has been advising clients on BI tool strategies and selections for more than 20 years. She is the author of Successful Business Intelligence: Unlock the Value of BI and Big Data and SAP Business Objects BI 4.0: The Complete Reference. She is a faculty member of The Data Warehousing Institute (TDWI) and a contributing expert to InformationWeek. Before founding BI Scorecard, she was a manager at Deloitte & Touche and a BI standards leader for a Fortune 500 company. She has been quoted in The Wall Street Journal, the Irish Times, Forbes, and Business Week. She has an MBA from Rice University.

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