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Free Web Seminar Series Archive

SPSS
Increase Your Return on CustomerSM in
Finance and Banking with Data Mining

Date Held: Thursday, September 29, 2005
Duration: 1 hour


The phrase "know your customer" has a particularly special meaning in the dynamic, highly competitive finance and banking industry. Like most organizations, you probably have customer care strategies in place designed to increase your share of wallet and are achieving success, but are you confident that you're getting the maximum return on your efforts? Data mining and predictive analytics are helping banking and financial institutions do just that.

DM Review will host this Web Seminar featuring SPSS and special guest KD Nuggets. You'll see how data mining and predictive analytics today are helping organizations get more return out of their CRM efforts, while leveraging existing customer data and IT assets.

This is a must attend for business and IT professionals within finance and banking. Register for this informative Web Seminar to learn:

  • Key trends and issues affecting how financial services organizations are acquiring, up-selling and retaining customers today.
  • Approaches financial services organizations are taking towards using data mining to improve marketing to their customers.
  • Real-world examples of successful data mining projects yielding positive results quickly with a high ROI.
  • How you can segment customers more accurately, identify your most profitable customers and make predictions to guide your operations.
  • How to improve ROI on your CRM efforts, improve marketing response rates, and reduce marketing costs at the same time.

* Return on CustomerSM is a registered service mark of Peppers & Rogers Group, a division of Carlson Marketing Group, Inc.

Special Bonus
You'll see how you can go from identifying your business issue to improving business performance with a live technology demonstration, including SPSS's award-winning data mining workbench used by finance and banking organizations across the globe.

 
If you would like to view the SPSS Web Seminar Please fill out the form below:
* indicates a required field.

Honorific, (Mr., Mrs., Dr., etc)

First Name*

Last Name*

Title*

Company*

Address*

City*

State*

Zip*

Country*

Phone*

e-Mail*

1. What is your organization's total annual revenues?

2. I am currently evaluating, recommending or purchasing data mining or text mining solutions within:*

3. My role in the decision making process for data and text mining is?

(If other please specify)

4. What level of budget do you have for this project?

I would like to receive industry specific offers and information from DM Review including invitations to other free Web seminars.
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By registering for this event you agree to receive pertinent information from this Web Seminar's sponsor.



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