To ensure that Decision Management Systems are analytic and adaptive you must embed the results of data mining and predictive analytics in them. In this webinar you will learn what can be discovered using data mining and predictive analytic techniques and how this can be applied to the decision-making embedded in Decision Management Systems. The role of analytics in predicting risk, fraud and opportunity and the importance of continuous improvement and learning is also be covered.
4. AGENDA
1 2
Introducing
Decision
Management
The role of
predictive
analytics
3
Predictive
Analytics in
Decision
Systems Management
4 5 6
Systems
Building in Questions? How to Learn
Predictive More and Wrap
Analytics Up
12. Case: Retailer
Business challenges Solution Benefits
Grocery chains are Tailored promotions Increased revenue
battling for market integrated with Deep knowledge of
share loyalty program customers across
Customer loyalty is Integrated system formats
essential for growth from back office to More effective
Loyalty to the brand, point of sale promotional
not a single store Consistently campaigns
format compelling offers
across channels
20. Case study: Insurer
Business challenges Solution Benefits
Use analytics to Model and Find the decisions
improve underwriting decompose decisions that could be
Map decisions to impacted and
Embed analytics in refocused analytic
claim processing systems and
organizations effort
application
Constrained analytic
effort to ensure
successful
implementation