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Reports on Master Data Management published by DataFlux Corporation

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Data Governance: A Business Value-Driven Approach

WHITE PAPER:   Posted: 20 Nov 2009 | Published: 20 Nov 2009
This white paper by Dr. Walid el Abed, CEO of Global Data Excellence, discusses how an effective data strategy embedded within the business strategy can turn data into a real competitive advantage, deliver short and longer term value and enable business success and sustainability.
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A Guide to the Value of Reliable Data in Insurance

WHITE PAPER:   Posted: 04 Nov 2009 | Published: 02 Nov 2009
Only when data is trusted can it be used in confidence in all insurance operational and analytical process activities. This paper examines the impact of unreliable data on insurance companies. It then defines the requirements needed to guarantee data reliability in insurance and offers a practical approach to creating and governing that data.
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The ROI of Data Governance: Seven Ways Your Data Governance Program Can Help You Save Money

WHITE PAPER:   Posted: 24 Jul 2009 | Published: 24 Jul 2009
The following paper outlines seven ways that data governance programs can help manage costs and presents a mechanism for quantifying the return on investment (ROI) for these contributions.
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Understanding Data Governance ROI: A Compliance Perspective

WHITE PAPER:   Posted: 24 Jul 2009 | Published: 24 Jul 2009
This paper discusses the role of data governance programs in supporting compliance efforts, and presents an ROI formula you can use in those circumstances where it's important to quantify the value of data governance efforts.
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Getting Started with Master Data Management

WHITE PAPER:   Posted: 05 Jan 2009 | Published: 24 Dec 2008
This paper focuses on what is master data, why it is needed, how to get started in managing it, and methodologies for implementing master data management.
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Populating a Data Quality Scorecard with Relevant Metrics

WHITE PAPER:   Posted: 26 Jun 2008 | Published: 04 Jun 2008
Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business's success criteria..
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