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ABSTRACT:
Businesses can gain greater value from their BI investment by improving the way in which data flows to the BI system are managed. Many problems result when the Extract-Transform-Load (ETL) process is handled by a patchwork of scripting, custom coding, and various built-in schedulers that are part of existing ETL solutions, because these systems do not provide end-to-end execution, monitoring, and control of the ETL process. This white paper outlines the issues faced by BI operational staff in maintaining high quality of BI information, and discusses technologies that have the potential to:
- Dramatically raise the reliability and quality of BI information.
- Improve how BI teams use their time and resources to deliver rapid ROI.
- Free resources to focus on answering business questions based on reliable and meaningful data.
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Author
Wayne Greene
VP Product Management
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Tidal Software
Wayne Greene leads the product management team at Tidal and drives the product strategy across the company. Prior to working at Tidal, he was the Director of Competitive and Market Intelligence at the Wily Technology Division of Computer Associates. Prior to CA, Wayne was at Hewlett Packard for 18 years in a variety of different roles, spending the last 6 years at HP in the Corporate IT and Outsourcing Services division where he was responsible for the enterprise management toolset. He led a team of approximately 120 engineers, was responsible for system, network, and application monitoring, help desk ticketing and case exchange solutions, enterprise application integration, job scheduling, datawarehousing and reporting, as well as end user support portals. Wayne has a PhD from University of California at Berkeley, and a Bachelor of Science from M.I.T.
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Data Management Research Library 
