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Data Governance

ALSO CALLED: DG
DEFINITION: Data governance (DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures, and a plan to execute those procedures.

The  … 
Definition continues below.



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Making Data Safe for Compliance and Outsourcing
sponsored by Innovative Routines International, Inc.
WHITE PAPER:   Posted: 16 May 2008 | Published: 01 Jan 2007
SUMMARY: This white paper briefly revisits the regulatory landscape, provides general recommendations, introduces low-level data privacy requirements, and presents several specific techniques to help satisfy compliance objectives.

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Master Data Management: A White Paper by Bloor Research
sponsored by Pitney Bowes Group 1 Software
WHITE PAPER:   Posted: 09 May 2008 | Published: 01 Jan 2008
SUMMARY: This paper offers valuable insights and considerations for corporations and other organizations seeking to implement a Master Data Management strategy.

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Outbound Email and Data Loss Prevention in Today's Enterprise, 2008
sponsored by Proofpoint, Inc.
WHITE PAPER:   Posted: 15 Apr 2008 | Published: 08 Nov 2007
SUMMARY: This white paper overviews a survey completed by Proofpoint and Forrester Consulting that analyzes the legal, financial, and regulatory risks associated with outbound email in large enterprises.

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Accelerating Enterprise Data Governance: Part 1 Foundations
sponsored by DataFlux Corporation
WHITE PAPER:   Posted: 09 Apr 2008 | Published: 01 Dec 2007
SUMMARY: Companies have difficulty keeping data consistent, synchronized and in a high quality state. Learn what data governance is, why it is needed and the key elements of an effective data governance solution.

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Assessing the Potential Business Impact of Operational Data Quality IT Briefing
sponsored by Pitney Bowes Group 1 Software
WHITE PAPER:   Posted: 07 Apr 2008 | Published: 01 Apr 2008
SUMMARY: Explore data quality impacts, how data quality relates to business issues, and how to integrate data quality monitoring into operational systems.

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Actionable Data Governance: Developing a Sustainable Approach to Data Governance
sponsored by CIBER
WHITE PAPER:   Posted: 12 Mar 2008 | Published: 01 Mar 2008
SUMMARY: This paper examines the many pitfalls many companies experience when implementing a Data Governance program. It establishes a 4 level maturity model for obtaining a sustainable Data Governance program.

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CUSTOMER DATA INTEGRATION (CDI)
sponsored by Wipro Technologies
WHITE PAPER:   Posted: 26 Feb 2008 | Published: 01 Jan 2007
SUMMARY: Customer Data Integration technologies can help to create a single, informative, accurate and timely view of the customer across the enterprise which can be used intelligently to achieve the banks objectives.

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Collaborative Data Integration: Coordinating Efforts within Teams and Beyond
sponsored by SAS Institute Inc.
WHITE PAPER:   Posted: 18 Feb 2008 | Published: 01 Jul 2007
SUMMARY: The need for collaboration around data integration has increased. In this white paper, TDWI explores best practices, software tools, and trends that are driving up the requirements for collaboration in data integration projects.

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Coordinating Master Data Management (MDM) Stakeholders
sponsored by DataFlux Corporation
WHITE PAPER:   Posted: 10 Jan 2008 | Published: 01 Jan 2008
SUMMARY: Master data management as an enterprise initiative requires enterprise buy-in and participation. Discover who the stakeholders are and examine the responsibilities and accountabilities for each role.

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Managing and Integrating Data in an SAP Environment
sponsored by DataFlux Corporation
WHITE PAPER:   Posted: 10 Sep 2007 | Published: 01 Sep 2007
SUMMARY: Business operations depend on high quality data flowing across the enterprise. Learn about the impact of poor data quality as well as how to manage and integrate data within your SAP environment.

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DATA GOVERNANCE DEFINITION (continued): …  initial step in the implementation of a data governance program involves defining the owners or custodians of the data assets in the enterprise. A policy must be developed that specifies who is accountable for various portions or aspects of the data, including its accuracy, accessibility, consistency, completeness, and updating. Processes must be defined concerning how the data is to be stored, archived, backed up, and protected from mishaps, theft, or attack. A set of standards and procedures must … 
Data Governance definition sponsored by SearchDataManagement.com, powered by WhatIs.com an online computer dictionary


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