The New Decade Of Advanced Analytics: Roll Over Rocket Scientists!
Air Date: Tuesday, March 16, 2010
Cost: $250
Couldn't Attend This Teleconference?
You can still listen to or watch the teleconference at a time that's convenient for you. We offer the hourlong archived teleconferences in MP3 format (audio only) or in WebEx format (audio with PowerPoint slides). Choose the format that is convenient for you.
Predictive power is critical to business success, and it relies on advanced analytics. Predictive modeling, data mining, text analytics, complex event processing, and other advanced tools enable organizations to ground management forecasts in solid historical information sets. One limitation of today's advanced analytics offerings is that many of them are power tools and aren't suitable solutions for the mass business market. The traditional user base for these tools consists of statisticians, mathematicians, and other highly educated analytics professionals. Rarely are advanced analytics tools used directly by the CEO, senior executives, or any other casual user.
Forrester sees advanced analytics as key to the evolution of business intelligence (BI). However, these technologies can't realize this potential until they break out of their golden ghettoes. BI vendors know this, and in 2010 they're focusing on integrating both technologies into their solution portfolios, while providing user-friendly visualization and development tools that submerge the complexities and accelerate time to insight.
In this teleconference, Forrester Senior Analyst James G. Kobielus discusses the trend toward adoption of user-friendly, highly visual data mining tools by the average information worker. Kobielus describes how data mining and other advanced analytics tools are diversifying beyond their traditional niche — the mathematics-savvy rocket scientists — and becoming a core feature of operational BI and process-analytics suites in this new decade. Kobielus leverages findings from his soon-to-be published Forrester Wave™ on predictive analytics and data mining solutions.
Agenda:
Status quo: Advanced analytics are the traditional province of data mining rocket scientists.
Vision: Advanced analytics bring predictive focus to operational BI.
Road map: Evolve your BI initiatives to make advanced analytics pervasive.
Imperative: Provide rich predictive visualization to every information worker.
Vendors mentioned: Angoss, eThority, FICO, IBM, KXEN, Microsoft, Oracle, Portrait Software, SAS Institute, SPSS, TIBCO, and QlikView