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Overall Approach To Data Quality ROI by SAP America Inc
June 02, 2009 - (Free Research) Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole. This paper from Business Objects examines an overall approach to data quality ROI including 6 key steps to help you realize tangible ROI on your data quality initiative.
Data Quality: A Survival Guide For Marketing by SAP America Inc
June 02, 2009 - (Free Research) Direct marketing is about communicating a message to a specific prospect or customer. This white paper from Business Objects, an SAP company, focuses on these concepts as they pertain to marketing, and particularly as they are supported by data quality functions inside of the broader EIM framework.
SAP® BusinessObjects Data Services: One Product For Data Quality and Data Integration by SAP America Inc
June 02, 2009 - (Free Research) Introducing SAP® BusinessObjects Data Services breakthrough technology software for the enterprise information management market. The software unifies our leading data-quality and integration solutions - helping your organization to move, transform, and improve virtually any type of data anywhere, at any frequency.
Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation
June 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.
Implementing a Data Quality Strategy by DataFlux Corporation
January 2009 - (Free Research) In this program Gartner Research Vice President Ted Fredman and DataFlux President and CEO Tony Fisher discuss the data quality issues facing business today as well as the solutions that can solve these problems.
Developing A Universal Approach To Cleansing Customer And Product Data by SAP America Inc
June 2009 - (Free Research) Data quality has always been an important issue for companies, and this
is even more the case today. This paper reviews current industry problems concerning data quality, and takes a detailed look at how companies are addressing quality problems with customer, product, and other types of corporate data.
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..
Building a Data Quality Scorecard to Achieve Data Governance by DataFlux Corporation
January 2009 - (Free Research) Operational data governance is the manifestation of the actionable processes and protocols necessary to ensure that an acceptable level of confidence in the data effectively satisfies the organization's business needs.
A Guide to the Value of Reliable Data in Manufacturing by DataFlux Corporation
November 2009 - (Free Research) This paper examines the impact of unreliable data on manufacturing companies. It then defines the requirements needed to guarantee data reliability in manufacturing and offers a practical approach to creating and governing that data.
The Importance of a Single Platform for Data Integration and Quality Management by SAP America Inc
June 2009 - (Free Research) This paper examines the evolution of the data integration and quality industry, and explains the benefits of moving toward a single data services architecture. It outlines requirements for a software platform for supporting such an architecture, and, as an example, reviews the BusinessObjects Data Services XI Release 3 platform.
Business Intelligence: Putting Information to Work by SAP America Inc
January 2009 - (Free Research) Business intelligence (BI) can be considered critical to the very existence of most organisations. The purpose of this research was to explore whether and how companies are using BI to improve their businesses; to identify the obstacles they encounter in its use; and predict how BI will evolve in the next ten years.
Enterprise Information Management by SAP America Inc
June 2009 - (Free Research) EIM is the effort and practice of reaching across all data and application silos embedded in the organization's operating infrastructure; then binding those repositories together into one effective information management environment. This white paper will discuss metadata management, master data management, data quality, and data migration...
Informatica 9. Transform your business. Transform your world. by Informatica
October 2009 - (Free Research) This webcast will show you how to access and deliver relevant, trusted data to your business to drive competitive advantage. Discover how to get business and IT on the same page, make data quality issues a thing of the past and leverage SOA effectively.
Quality begins with Requirements by IBM
August 2009 - (Free Research) Learn about the new integration between IBM® Rational® DOORS and IBM® Rational® Quality Manager and how it enables you to implement a successful requirements based testing approach to your development lifecycle.
Case Study: Welch’s® Improves its Warehouse and Inventory Management Operations by TAKE Supply Chain
October 2009 - (Free Research) Welch's selected the TAKE Supply Chain Gemini™ for OPM mobile software solution and Compliance Label Manager (CLM), a barcode and radio-frequency identification (RFID) label management solution to improve the speed, visibility, accuracy and control of extended manufacturing and distribution supply chains. Read on to learn more.
Presentation Transcript: The Power of Universal Patterns and Models for Master Data Management by Embarcadero Technologies, Inc.
October 2009 - (Free Research) In this presentation transcript featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to improve management flexibility. Gain insight into various modeling choices to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.
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