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The Four Imperatives of Data Governance Maturity by DataFlux Corporation
October 2008 - (Free Research) This monograph by Philip Russom of TDWI examines the four requirements to increasing the maturity of data governance initiatives - and how these efforts can help companies effectively maintain and manage their mission-critical data.
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...
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.
Aberdeen Group: Customer Data Quality: Roadmap for Growth and Profitability by Infosolve Technologies, Inc.
March 2008 - (Free Research) New Aberdeen research reveals that customer data quality is a sales and marketing leadership issue. Aberdeen found that over 70% of Best-in-Class firms are driven to improve customer data quality by competitive and profitability pressures…
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.
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.
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.
Data Quality Strategy: A Step-by-Step Approach by Business Objects
September 2008 - (Free Research) The paper concludes with a discussion on the transition from data quality strategy development to implementation via data quality project management.
Optimizing Processes in Medicaid Communications Management by Pitney Bowes Group 1 Software
July 2008 - (Free Research) State Medicaid agencies are required to continually improve their services. A number of State and Federal initiatives have been launched to lower costs and improve services. Communications Management is an integral part of this important effort.
The Evolution of Data Integration and Quality Software Webcast by Business Objects
September 2008 - (Free Research) In this seminar hosted by Business Objects, an SAP company, Colin White of BI Research will examine the evolution of the data integration and quality industry, and explain the benefits of moving toward a single data services architecture.
BI: Confronting the Gap Between Strategy & Execution by Business Objects
June 2008 - (Free Research) Business Inetlligence platforms are becoming essential for today's organizations. BusinessObjects XI 3.0 helps transform the way your organization works - making every person, process, and decision more intelligent. Read this paper to learn more.
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