Ralph Winters
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When you say that you build a descriptive profile by "associating data not used to build the segment to members of a segment". Why were these not part of the original segmentation? Sounds like you were using some sort of cross-validation to confirm…
on Sunday
The red line doesn't make any sense. The blue line is not the cumulative lift of the red line, Why are the lines going in different directions between 50 & 60%. However the blue line does make sense . The cumulative lift value should always be equal…
on Sunday
At this point it is more of an art than a science. The major question is how quickly do you want your baseline forecasts to adapt to changes in the data? An alpha of .3 and beta of .0025 are reasonable starting points. Check out the work of Jake Bru…
November 24
You can do this in Excel using Solver. Set the objective function to "minimize" to the cell containing the average MSE. Then set your constaints for the alpha, beta, and gamma cells. -Ralph Winters
November 11
Many times a particular IDE (Integrated Development Environment) will provide syntax checking and debugging. For example Komodo, and Eclipse (for Java environments) both contain debuggers, and SAS has a built in debugger which can help you trace cod…
November 11
SOM's is a neural network technique, and it is certainly worth a try. However, eventually you will be faced with having to explain the results which can sometimes be difficult when using this technique, especially if it is found to be at odds with t…
November 1
I would first start out by looking at the rolling 3, 6, and 12 month averages for the underlying variables, and then possibly turn it into a cluster analysis. Eventually, I would develop a formal time series model (ARIMA, regression, exponential etc…
October 26
One simple way would be to use VBA to pass parameters to a SAS application. -Ralph Winters
October 5

Profile Information

Short Bio:
Senior level Data Analyst, Data Miner, and Applications Programmer/Developer with over 10 years experience. I have a strong knowledge of BI, OLAP, data analytics, data mining, SAS, forecasting, relational databases, statistical procedures, logistic regression, predictive data modeling, and database marketing. I have worked with many different databases and operating systems.

Specialties

Data Analytics,ETL,SAS.Data Mining,BI,Business Intelligence,OLAP,Statistics,Database,Complex SQL Querying

Industries: Insurance,Pharmaceutical/Healthcare,Banking,Finance, Direct Mail,Direct Marketing,Cellular,Trading Markets

Databases: SQL Server 2000/2005,SAS,SSIS,SSAS,DB/2, ORACLE, Sybase

Operating Systems: Windows, UNIX, LINUX

Software:SAS,C++,Business Objects,COGNOS,MS Management Studio, MS BI Development Studio,Excel, @Risk, Dataflux,UNIX, Shell Scripting, SPLUS, R
My Website:
http://www.linkedin.com/in/ralphwinters
Field of Expertise:
Data Mining, Finance, Marketing Databases, Computer Science, SAS, Web Analytics, Industrial Statistics, Statistical Consulting, Other
Years of Experience in Analytical Role:
10
Professional Status:
Technical, Manager, Director, VP, C-Level, Retired, Consultant
Interests:
Finding a New Position, Networking, New Venture
What is your Favorite Data Mining or Analytical Website?
http://kdnuggets.com

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