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Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation
July 2008 - (Free Research) Operational data governance is the process of evaluating data to see if data effectively satisfies the organization’s business needs. This is measured with a “data quality scorecard”, a management tool for monitoring organizational performance.
The Data Governance Maturity Model by DataFlux Corporation
January 2008 - (Free Research) The success of a business is increasingly tied to the quality of their information. Through the Data Governance Maturity Model, organizations can identify precisely how they can create an environment that can deliver and sustain high-quality information.
Five Steps to More Valuable Enterprise Data by DataFlux Corporation
March 2008 - (Free Research) This white paper explores a five-phase methodology to analyze, improve and control corporate data. Learn how to improve decision-making and gain a competitive edge with five essential factors that are the building blocks of data quality integration.
Populating a Data Quality Scorecard with Relevant Metrics by DataFlux Corporation
June 2008 - (Free Research) 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, it is difficult to determine how to react to emergent data quality issues..
An Architecture for Data Quality: A Kimball Group White Paper by Informatica
May 2008 - (Free Research) This paper describes an easily implemented, nondisruptive, scalable, and comprehensive foundation for capturing data quality events as well as measuring and ultimately controlling data quality in the data warehouse.
Effective Data Quality Program Management: Tips and advice by Informatica
September 2008 - (Free Research) In this 12-minute podcast, appropriate for both business and IT professionals, hear advice and tips for effective data quality program management from industry expert Evan Levy, partner and co-founder of Baseline Consulting.
Profile: DCA Manufacturing by Exact Software
October 2008 - (Free Research) Read how Exact MAX and Exact Synergy provided the structure, integration, and automation DCA needed to more effectively manage important back-office production data and the front-office communication issues.
Data Quality and Identity Resolution by Informatica
June 2008 - (Free Research) This paper describes how identity Resolution complements and extends the application of data Quality and data integration processes into business applications.
Critical Success Factors Deploying Pervasive BI by Informatica
September 2008 - (Free Research) The goal of pervasive BI applications is to take the data that produced the back office ROI of more than 400% and deliver it to front-line employees in a form appropriate to their job functions-with similar results.
Data Quality - The Foundation of Operational Effectiveness by Pitney Bowes Group 1 Software
April 2008 - (Free Research) Operational and analytical business processes rely on a solid, high-quality data foundation, but companies often neglect data quality until a major problem occurs that could've been avoided. Learn about the benefits and importance of da...
Testing… One, Two Three by Storage Decisions and Diligent Technologies Corporation
October 2008 - (Free Research) In this document you will learn why testing is necessary, what to test and how to test.
Optim Test Data Management Solution by IBM
The Optim Test Data Management Solution offers proven capabilities to optimize test data management processes. Now you can create "right-sized" test databases with minimal cost and effort. Optim helps companies improve application quality, speed time to market, and accelerate revenue generation.
Datanomic Business Intelligence and Data Warehousing by Datanomic
By using dn:Director to improve data quality and isolate data that is unreliable, organizations are able to optimize the return on investment in BI and Data Warehousing and maximize competitive advantage.
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