Business Friendly Data Mining with Decision Management
How to engage your business team in a data mining project
Predictive Analytics World Workshop
Thursday, March 8, 2012 in San Francisco
There is a real opportunity to use predictive analytics to address key business challenges like fraud detection, risk management, customer next best activity, customer retention, validation, marketing segmentation, eligibility and more. Organizations that are more sophisticated with analytics are three times more likely to be in the top 17% of top business performers. But too often there are gaps in understanding between business, IT and analytics teams. Gaps in building business understanding lead to analytic models that don't have business value and gaps in implementation lead to models that take months or years to adopt or never get adopted at all. Wasted effort and "good" models that just sit on the shelf gathering dust are the result.
This one day workshop on Business Friendly Data Mining with Decision Management will show you how to:
- Improve business/analytics/IT collaboration and understanding
- Clarify the data mining goals
- Enable rapid deployment of models in IT/operational systems
"Clearly an effective way to get more understanding of a problem prior to modeling"
"Great interaction with the business team."
"Much more interactive than our current process to gather requirements."
James Taylor, of www.JTonEDM.com and CEO of Decision Management Solutions, will cover the principles of Decision Management, its application to critical business challenges, and the appropriate use of available technology to deliver business friendly data mining in your organization. You'll see how identifying and prioritizing the operational decisions that drive your organization's success creates a common language and collaboration environment between business, IT and the analytics team. You'll learn how to model and understand these decisions and so clarify and focus the problem statements that drive your analytic efforts. This focus on decisions and the effective use of business rules and in-database technology also enables rapid deployment of analytic models in operational systems, to automate and improve these decisions for sustainable competitive advantage.
We also run the workshop in-house. Contact us at firstname.lastname@example.org for more details.