Dan Vesset is Program Vice President of IDC’s Business Analytics research. Mr. Vesset’s research is currently focused on the business intelligence and analytic applications markets, which encompasses multi-dimensional analysis,end-user query and reporting, data mining and other related business intelligence tools, and supply chain and operational analytic applications. Mr. Vesset has authored numerous research publications involving business intelligence, analytic applications, and data warehousing. In addition, Mr. Vesset has been published and quoted in numerous business and industry publications, including Forbes, Investors Business Daily, CFO, CIO, DM Review, and Intelligent Enterprise. Mr. Vesset is a frequent speaker at business intelligence conferences and seminars worldwide, and has over 10 years of experience as a user, implementer, and analyst of business intelligence software.
TIBCO and Netezza have announced certification of the TIBCO Spotfire Enterprise Analytics Platform with the Netezza TwinFin appliance. The certification encompasses an integration solution from TIBCO and Netezza. The solution includes high performance data access and data transformation with data mining and computational analytics. The goal of this solution is to put the power of predictive analysis into the hands of any business user, with interactive data visualizations they can easily understand.
While we at TIBCO and our friends at Netezza believe this is a strategic and timely announcement, we wondered what our friends in the analyst community thought about the financial services angle of our partnership. So we posed the following question:
“Does this combination of a high end BI platform with a purpose built data-warehouse appliance benefit the average business user/manager/report generator in Financial Services? If so, where? For what functions?”
According to Dan Vesset, Program Vice President of IDC’s Business Analytics research group:
“The combined solution is best suited for use cases with lots of data where the business users needs to do ad-hoc analysis of the data. Any consumer-oriented financial services operation would probably qualify as having large volumes of data from banking and/or credit card transactions. The ad-hoc analysis comes into play in situations where existing automation runs into exceptions that need to be dealt with my business analysts or managers. Also any new projects such as a new marketing campaign may require ad-hoc analysis to arrive at the new, optimized approach for targeting a base of clients or prospects.”
