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ABSTRACT:
Business intelligence (BI) systems provide the starting point for developing new analytics, but less time is spent analyzing because of the iterative nature of building effective analytic models. BI and analytics can feed off one another if the models are customized to an organization's objectives.
Read this white paper to learn how your analytical models can become more agile, enabling you to better understand your data. Reduce the dependence on traditional analytical tools that require programming knowledge or deep application skills and open up the world of business analytics that will allow you to:
- Shorten the iteration cycle.
- Break dependency on a data warehouse.
- Understand data and adapt information resources.
- Exploit data visualization in real time.
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AUTHOR:
David Loshin
President, Knowledge Integrity, Inc
David Loshin is the president of Knowledge Integrity, Inc, (www. knowledge-integrity.com), a consulting company focusing on customized information management solutions including information quality consulting and training, business intelligence, metadata, and data standards management. David is among Knowledge Integrity’s recognized experts in information management, contributing to Intelligent Enterprise, writing a monthly column for DM Review between October 2002 and December 2005, is a quarterly featured columnist for the Data Administration Newsletter (www.tdan.com), and is the channel expert of the B-EYE-Network’s Information Quality and Data Integration channel.
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