By Laura Reeves
Aimed toward assisting enterprise and IT managers sincerely speak with one another, this useful e-book addresses matters straight-on and offers useful the right way to development a collaborative facts warehouse . You’ll get transparent causes of the ambitions and pursuits of every degree of the information warehouse lifecycle whereas studying the jobs that either enterprise managers and technicians play at each one degree. Discussions of the main severe determination issues for achievement at each one section of the knowledge warehouse lifecycle assist you comprehend ways that either enterprise and IT administration could make judgements that most sensible meet unified ambitions.
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Extra resources for A Manager's Guide to Data Warehousing
This broad perspective is also needed to create standard data definitions and calculations. SUCCESS TIPS: ENCOURAGING AN ENTERPRISE VIEWPOINT It may be necessary to modify individual job descriptions and annual performance goals to encourage behavior that is beneficial across the enterprise. Reward employees who fight for the greater good. Many individual contributors on a data warehouse project can recognize myopic decisions, but there may not be a way to raise these issues. Strive to provide a mechanism for raising concerns and identifying problems without fears about retribution.
Business professionals rarely do—after all, if they did they would probably have become systems professionals! The primary areas of effort for a data warehouse revolve around the data itself. When thinking about data, most people think about the technical aspects—where the data is stored, what computer programs may access or use it and who to call in systems if you have a problem. The technical care and feeding of data is only a part of the picture. It is also important to understand the business definition of each data element, why it matters to the organization, and how the data should or should not be used.
Believing the Myth: ‘‘If You Build It, They Will Come’’ There are still many companies who invest in building a data warehouse by pulling data from core operational systems into a common database, expecting that the business will then begin to use it. This is a good exercise in data movement and organization, but an approach that rarely leads to success. The data is organized in ways that are not tied to actual business needs and requirements. This is an approach that seems ‘safe’ from a systems perspective.
A Manager's Guide to Data Warehousing by Laura Reeves
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