Odds Ratios in Generalized Linear/Nonlinear (GLZ) Models
Mon, 30 Aug 2010 22:29:00 -0500
SPOTLIGHT ON: John Elder, Ph.D.
Mon, 30 Aug 2010 20:33:00 -0500
Monte Carlo and Sample Size
Mon, 30 Aug 2010 17:48:00 -0500
Savvy marketing departments use STATISTICA Data Miner to mine for:
The best marketing departments have always maintained their primary focus on the desires of the customer. Now, CRM technology has made it increasingly more feasible to find out exactly what the customer wants, when, how, and why. Targeted marketing has never been more possible or more vital in today's unpredictable marketplace. Click here to view a case study video titled, Data Mining Applications: Improve CRM Predictions with Behavior Scoring.
The data collected about customer preferences can be used in all aspects of marketing such as designing the campaign, acquiring new customers, and optimizing the design of a store. Using the comprehensive and powerful set of data mining tools in STATISTICA Data Miner, marketing departments can turn previously dormant data from their data warehouse into valuable, usable information. Daley Insight®, a StatSoft partner, specializes in consulting services using the powerful STATISTICA Data Miner tool set and providing data driven projects helping to better serve the customer base.
STATISTICA Data Miner Tools can help you find:
Drill down to individual transactions with STATISTICA Data Miner's Interactive Drill-Down Explorer. For example, review the types of purchases that customers made with different demographic characteristics, study the effectiveness of certain drugs within different treatment groups, ages, etc., or extract likely customers for a new product from a database of previous customers based on careful study of apparent (market) segments exposed by the drill-down analysis.
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What customers are more likely to purchase your other products or services? Are there distinct groups or segments among customers with different perceptions and tastes? How do customers evaluate and compare your products in the market place? Should products be bundled?
The powerful clustering (e.g., hierarchical, k-means, EM, neural-networks-based) and mapping tools (e.g., multi-dimensional scaling, correspondence analysis, principal components, etc.) provide state-of-the art techniques for researching market segmentation, product perceptions, and comparative analyses of competitors' products. STATISTICA Data Miner's Association Rules module enables you to process rapidly huge data sets of customer transactions for relationships based on pre-defined "threshold" values for detection.
Design future marketing campaigns intelligently, armed with the knowledge provided by thorough analyses of previous campaigns. Be more confident about your Marketing ROI using STATISTICA Data Miner's modules for predictive modeling and pattern recognition, and communicate your strategies, expectations, and goals clearly to your staff and management using STATISTICA's unique and unmatched visual (graphical) tools.