Thursday, March 30, 2006
Welcome Subscribers!

IT governance is required in order to measure, define and understand what the IT organization is doing for the company. The first article in this week's newsletter, Basics of Governance and Data Integration, Part 1, by Dan Linstedt, begins his discussion on the types of governance, the process of governance and the application of governance across different areas.

In the second article, Bridging Unstructured Data and Structured Data, I describe these two types of data and explain the five methods of linking structured and unstructured data.

I encourage you to use the Business Intelligence Network as your premier source for information pertaining to business intelligence, performance management, data warehousing and information quality.


IN THIS ISSUE MORE > 

Basics of Governance and Data Integration, Part 1
by Dan Linstedt
Governance defines the way we manage, monitor and measure different aspects of our organizations.

Bridging Unstructured Data and Structured Data
by Bill Inmon
DW 2.0 – an architecture for the next generation of data warehousing – acknowledges that both structured data and unstructured data belong in a data warehouse and that a bridge must be built between the two environments for integrated decision making.


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WEB EVENTS MORE > 

Jumpstart Your Retail Data Warehouse
April 4 at 12 p.m. ET
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Business Intelligence Analytics for IT Performance
April 5 at 2 p.m. ET
Claudia Imhoff discusses the value of developing a strategy and methodology for analyzing data and query utilization to improve performance, increase productivity and reduce support costs of business intelligence and data warehouse deployments.
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From Performance Management to Predictable Performance: Powering the Predictable Enterprise
April 13 at 2 p.m. ET
Can your organization proactively plan, forecast and analyze business performance? Do you incorporate and leverage automated variance analysis and predictive analytics to increase shareholder value? Join Craig Schiff as he explains how both are possible in a predictable enterprise.
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