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ABSTRACT:
Collaborative data integration supports governance and stewardship, and gives business people self-service visibility into the details and progress of data integration projects. Data integration collaboration requires structure, whether technology focused or business driven, to get everyone organized.
Read this TDWI white paper to learn how you can establish data integration policies, procedures and standards with collaboration. Explore best practices, software tools, and trends that are driving up the requirements for collaboration in data integration projects. Learn how you can:
- Make data integration collaborative for large, distributed or cross-functional teams.
- Govern data integration.
- Share data through a central repository
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AUTHOR:
Philip Russom
Senior Manager, TDWI Research The Data Warehousing Institute
PHILIP RUSSOM is the senior manager of research and services at The Data Warehousing Institute (TDWI), where he oversees many of TDWI’s research-oriented publications, services, awards, and events. Prior to joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research, Giga Information Group, and Hurwitz Group. He has also run his own business as an independent industry analyst and BI consultant, and was contributing editor with Intelligent Enterprise and DM Review magazines. Before that, Russom worked in technical and marketing positions for various database vendors.
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My Research History
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