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TDWI Best Practices Reports
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TDWI's Best Practices Reports educate technical and business professionals about emerging issues in
business intelligence (BI) and data warehousing (DW). These in-depth reports offer objective,
vendor-neutral research consisting of interviews with practitioners and industry experts, as
well as a survey of BI professionals worldwide. The reports are sponsored by vendors who
collectively wish to evangelize a BI/DW discipline or emerging technology.
Current Report:

Anytime
data crosses an organizational boundary, it should be governed, whether you’re
sharing data among business units internally or publishing data to customers,
partners, auditors, and regulatory bodies externally. Organizations are under
renewed pressure to ensure that compliance and accountability requirements are
met as the scope of data integration broadens. In response to this situation,
many organizations are turning to data governance, which establishes policies
and procedures for sharing data, as well as improving data’s quality, structure,
and auditability.
Furthermore, a goal of some data governance programs is to enable an organization
to treat data as an organizational asset. Achieving this goal demands many interim
goals, most involving dramatic change. For example, data governance transforms
an organization’s data, its data management technology, who owns the data,
and how the organization uses data. Sweeping changes and business transformations
like these need a central organizational structure such as a data governance
committee or board, staffed with both business and technology people.
Given the complexity of data governance and its many influences, it’s
no surprise that confusion abounds. This report from TDWI Research clears the
confusion by drilling into the business initiatives, technical implementations,
and cross-functional organizational structures with which data governance intersects.
It also quantifies the state of data governance adoption and describes some
of the technologies and vendor products that can help automate data governance.
All this information is tailored to assist business and technical managers in
planning and implementing a sustainable data governance program.
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