Data Mining: Failure to Launch

WHAT'S COVERED
The vast majority of BI professionals are excited about the prospects of data mining, but are fully mystified about where to begin or even how to prepare.  Of those who did initiate a modeling initiative, a recent data mining industry survey of predictive modeling practitioners reports that 51% of data mining projects either never left the ground, did not realize value or the ultimate results were not measurable.

Despite its elusive nature, data mining technology has surpassed the flash-in-the pan “miracle tool” stigma with widespread and sustained success stories highlighted in mainstream publications, along with recurring case studies of improved operational efficiencies, enhanced business intelligence and residual payback.  For any organization with annual revenues more than $50 million, employing predictive analytics is not a matter of whether, but when.

Attend this free webinar to learn how to get started with data mining and overcome limitations that cause data mining projects to fall short of their potential.

WHAT'S DELIVERED
This webinar is intended for stakeholders, functional managers and business practitioners in business, industry, government and academia, who have made substantial investments in data collection, storage, retrieval, visualization and basic analysis but may not have the technical or strategic experience necessary to chart an effective roadmap to uncover the valuable predictive insights hidden within their existing data.  No prior knowledge is required. The webinar will cover:

- How and where to get started
- Why failure to implement is so common, and why pitfalls are so avoidable
- Case studies that reveal the rewards of proper design and implementation
- Why establishing an internal predictive modeling practice is within your reach
- Live participant polls and an interactive guru session with the expert
- Resources and direction on how to move forward with confidence
- And more...