Data Doghouse - performance management, business intelligence, and data warehousing

The Expanding Value of Data Modeling

I hope you'll join me for my latest webinar:

Date: November 17, 2010
Time: 12:00 PM EST / 9:00AM PST

From integration to quality, business insight to enterprise agility, the value of data modeling extends throughout the enterprise. Modeling data not only improves the performance of operational and analytical systems, it provides a window into the nature of a business. Increasingly, organizations are discovering that by analyzing their data models, they can identify new relationships in their information architectures, which can result in new opportunities.

Register for this Espresso Shot Webcast to learn how today's data modelers are driving new value back into the business. Attendees will learn:

    * How to leverage data modeling for better integration
    * Why data modeling can improve business intelligence
    * What to look for in a good data modeler
    * How to dovetail business initiatives with data modeling
    * When to encourage a fresh look at data models

Register today.

Using predictive analytics tools and setting up an analytics program

Business intelligence (BI) software has become widely used – even to the point of being pervasive in many organizations. But for the most part, predictive analytics tools are still used by only the most sophisticated data-driven enterprises.

In addition, whereas IT groups typically develop BI dashboards and reports for business users, predictive analytics models usually are created by a handful of highly skilled end users. It can be an eye-opening experience for IT workers to realize that the people who build predictive models are more data-savvy and technically oriented than they are. In fact, predictive model builders often view the IT staff merely as data gatherers whose purpose is to feed their data-hungry models.

 

>>>read the rest of my article, Using predictive analytics tools and setting up an analytics program