"What level of effort are you wanting to exert? How fancy are your goals for the interface?"
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Murat's Discussions
A custom GUI application
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Started this discussion. Last reply by Adam Hood Oct 21, 2009.
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Ralph Winters replied to Murat's discussion A custom GUI application
"One simple way would be to use VBA to pass parameters to a SAS application.
-Ralph Winters"
Murat posted a discussion
A custom GUI application
What is the best option to create a GUI for a SAS forecasting project to create initial input dataset? Example is below;Example:a new product lets called Product A will have similar history like Product B history but half of the volume. What is a recommended environment to create a GUI so that business user just need to select a product and assiffgn its history to the new product?See More
Murat replied to Yi-Chun Tsai's discussion how to choose predictive variables in my time series regression model in the group Time Series
"You can use all of your variables. Apply Game Theory to get rid of multicollinearity and over fitting. This is the best way to get the most accuracy. Prewhitening, Regression, Statespace, Arimax and cross-correlation gets you forecast, Game Theory…"
Murat replied to Marybeth Haas's discussion Next "big thing" in analytics?
"We have a predictive model that takes in health conditions / finacials and predicts the future cost of an individual. Very Accurate.
http://ergenomics.com/blog/can-financial-predictive-model-solve-healthcare-business-challenge"
Profile Information
- Short Bio:
- Murat Ergen has a Master of Software Systems, majoring in Data Management. His academic work focused on data mining, predictive modeling and time series forecasting. He has over 7 years of experience building forecasting projects in various industries, including banking, healthcare, retail, telecommunications, and hospitality. He has successfully installed new systems for marketing, sales and fulfillment departments. Murat specializes in creating easy to use tools out of complex technologies.
- My Website or LinkedIn Profile (URL):
- http://www.ergenomics.com
- Field of Expertise:
- Data Mining, Finance, Marketing Databases, Computer Science, SAS, Statistical Consulting, Medical Statistics
- Years of Experience in Analytical Role:
- 10
- Professional Status:
- C-Level, Consultant
- Interests:
- Finding a New Position, Networking, New Venture, Recruiting, Other
- Your Company:
- Ergenomics.com
- Industry:
- Predictive Analytics
Ergenomics.com
About Us
Ergenomics.com is a provider of predictive analytics that helps companies implement advanced analytics and intelligence insights optimization in making better decisions.
We focus on data driven business solutions that strengthen the relationship between a company and its existing customers.
Our team consists of economists and predictive analytics specialists that deliver tailored solutions to improve the bottom line for customer centric companies in the areas of customer retention, cross-sell & up-sell,attrition, risk management, profitability profiling, value enhancement, activation, marketing optimization, and loyalty.
Our predictive selling framework gives clients real-time information on how and why each individual customer will buy, ensuring better decision making, and designs a program that allows them to stay in regular contact with their customers.
Ergenomics.com is a provider of predictive analytics that helps companies implement advanced analytics and intelligence insights optimization in making better decisions.
We focus on data driven business solutions that strengthen the relationship between a company and its existing customers.
Our team consists of economists and predictive analytics specialists that deliver tailored solutions to improve the bottom line for customer centric companies in the areas of customer retention, cross-sell & up-sell,attrition, risk management, profitability profiling, value enhancement, activation, marketing optimization, and loyalty.
Our predictive selling framework gives clients real-time information on how and why each individual customer will buy, ensuring better decision making, and designs a program that allows them to stay in regular contact with their customers.
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