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September 15, 2004 Using An Economic Analysis To Drive Data Warehouse Successby Lou Agosta with Chip Gliedman, Jon Erickson, Lauren Hughes, Colin Teubner |
Average: 8
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This is an excerpt
Executive Summary
Using data warehousing, firms are profitably predicting the buying behavior of customers and attaining new levels of operational efficiency in balancing supply and demand. Firms are cultivating data as an enterprise asset and harvesting revenue by substituting information for expensive inventory. But hidden risks often surface unexpectedly in areas of data quality, metadata, or the political hazards of the cross-functional project. Apply Forrester's Total Economic Impact™(TEI) methodology to assess the risks, costs, benefits, and options of designing, implementing, and operating the data warehouse to transform the data warehouse from a mere cost center to a recognized contributor to business success.
TABLE OF CONTENTS
- TEI: The Language Of Value
- Use TEI To Avoid Surprises About Costs, Benefits, And Options
WHAT IT MEANS
- TEI Provides 20-20 Foresight
ALTERNATIVE VIEW
- Data Is A Commodity, Not A Differentiator
- Related Research Documents
This is an excerpt
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