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Customer Information Quality Protection and Assessment by Datanomic
A Customer Information Quality Assessment (C-IQA) provides a systematic review of your customer data, reporting on key information quality metrics to help you understand how effectively you are able to manage your customers.
Top Ten Reports to Identify "Junk" Data in Your Storage Network by Quest Software
September 2008 - (Free Research) The growth of business-related data means IT must efficiently manage and control data-center storage. Analysis and storage consolidation helps recover wasted assets. Learn to identify and eliminate useless data. Read the white paper today.
Business Intelligence: The Inconvenient Truth by Kalido
June 2008 - (Free Research) What’s the truth behind the failure of many Business Intelligence projects? Read this paper to learn the main factors leading to disappointment. These pitfalls are not those of new entrants to BI but have been repeated by smart and well managed companies worldwide.
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…
Logs: Data Warehouse Style by LogLogic, Inc.
September 2008 - (Free Research) The LogLogic Log Management Data Warehouse enables organizations to centralize log data for easy, efficient access -- ensuring IT security, regulatory compliance, and operational efficiency.
Coverity Scales to Meet Teradata Challenge by Coverity, Inc.
March 2008 - (Free Research) Teradata needed a software quality solution that could scale with its massive code base as well as identify and help resolve the most difficult-to-find bugs.
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.
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.
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.
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