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Techniques and Tools for Data Quality Management by Identity Systems

March 2008 - (Free Research) Data quality is more than just data cleansing or address correction and it involves defining data expectations along defined dimensions that lead to quantifiable measurements for reviewing and assessing conformance to business information needs.
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Developing a Universal Approach to Cleansing Customer and Product Data Webcast by Business Objects

March 2008 - (Free Research) This Webcast 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.
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The Unique Requirements of Product Data Quality by The Data Warehouse Institute by Silver Creek Systems.

July 2008 - (Free Research) TDWI explores traditional approaches to data quality, which focus on well structured data, and shows why these do not work with less structured product data. Read about Product Data’s unique requirements and how to address them.
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Datanomic Data Migration and System Integration by Datanomic.

Datanomic's Customer Data Migration solutions are designed for customers and partners to minimize the risk of their data migration projects failing or overrunning due to data issues. 
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Assessing the Potential Business Impact of Operational Data Quality IT Briefing by Pitney Bowes Group 1 Software

August 2008 - (Free Research) Explore data quality impacts, how data quality relates to business issues, and how to integrate data quality monitoring into operational systems.
(WHITE PAPER) READ ABSTRACT | View Now

Delivering Trusted Data across the Enterprise - Business Objects Data Services by Business Objects

June 2008 - (Free Research) BusinessObjects Data Services XI 3.0 is your solution for delivering trusted data across the enterprise. It allows you to address initiatives such as ERP, BI, data warehousing, data migration, and master data management. Learn more in this whitepaper.
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dn:Director Data Quality and Customer Data Integration by Datanomic.

dn:Director is designed to be easy to integrate, to provide a fast return on investment, and to enable the ongoing success of all types of data-centric projects and implementations. 
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OpenCDI™ Customer Data Integration on a Zero Based Platform by Infosolve Technologies Inc.

June 2008 - (Free Research) OpenCDI™ solution that is highly efficient and cost effective, while delivering results with speed and accuracy.
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Data Warehousing, Next-Generation Business Intelligence, and the Evolution of Data Quality by Identity Systems

March 2008 - (Free Research) The data quality service components will become robust and scalable to coordinate inspection and resolution of large data streams flowing simultaneously throughout and reporting on the performance of multiple business processes
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Data Quality MP3 Audio Series by Business Objects

January 2008 - (Free Research) In this series of three interviews, you’ll learn how you can benefit from real-time data quality using SOA, how data quality processes can be applied to various industries, and the importance of data quality for global data.
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Ensure Product Data Quality with Advanced Data Cleansing by Business Objects

February 2008 - (Free Research) Organizations dealing with product or operational data encounter anomalies not even imagined by those processing customer data. View this recording to learn how to increase operational performance through improved product data quality and reliability.
(WEBCAST) READ ABSTRACT | View Now

BusinessObjects Universal Data Cleanse (UDC) by Business Objects

March 2008 - (Free Research) BusinessObjects™ Universal Data Cleanse (UDC) provides the most complete data quality approach, allowing you to see all of your data in the same light.
(WHITE PAPER) READ ABSTRACT | View Now

Datanomic Master Data Management: CDI, PIM and Supply Chain Data by Datanomic.

Master Data Management (MDM) is the critical process of sharing data elements across a variety of IT systems. 
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Techniques and Tools for Data Quality Management by Informatica Corp.

July 2008 - (Free Research) Data quality is evolving to focus on providing the right data in the right format, at the right time to broad, global systems. Learn best practices for data quality management and how you can implement an enterprise data quality center of excellence.
(WEBCAST) READ ABSTRACT | View Now

Data quality assessment helps identify, fix data quality problems by Informatica Corp.

August 2008 - (Free Research) In this 20-minute podcast, appropriate for both business and IT professionals, listeners will find out how to get a handle on data quality needs through a data quality assessment.
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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...
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Data Quality and Identity Resolution by Informatica Corp.

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.
(WHITE PAPER) READ ABSTRACT | View Now

Data Management & Architecture by Accenture.

Accenture's Data Management & Architecture group addresses how an organization manages data across its entire lifecycle. 
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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. 
(SOFTWARE PRODUCT) View Now

The Data Quality Imperative in Governance, Risk, and Compliance (GRC) by Informatica Corp.

July 2008 - (Free Research) This white paper helps us to understand how to satisfy regulatory data audit and documentation requirements, minimize IT project risk, and reduce the cost of producing timely and trusted data for GRC.
(WHITE PAPER) READ ABSTRACT | View Now

The State of Database Management: What Your Peers Are Doing by CA.

June 2008 - (Free Research) Data managers are concerned about managing the explosion of data, and are looking for ways to manage the process. In this survey from IDUG, learn about improving database performance and overall corporate performance.
(WHITE PAPER) READ ABSTRACT | View Now

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. 
(SOFTWARE PRODUCT) View Now

Web 2.0 Applications: Measurement Challenges and How to Address Them by Keynote Systems

February 2008 - (Free Research) The Internet and the Web continue to evolve, delivering new customer experiences and increased application utility. The label - Web 2.0 - signifies the newest and best examples of this evolutionary process.
(WHITE PAPER) READ ABSTRACT | View Now

IT Process Automation - Improve Processes with ITIL-ITSM Six Sigma or COBIT by Opalis Software, Inc.

June 2008 - (Free Research) Orchestrating the IT infrastructure to meet the needs of the business is central to delivering on the promise of IT Process Automation (ITPA). This article examines the processes that will help your organization improve your IT processes.
(ARTICLE) READ ABSTRACT | View Now

Data Profiling: Underpinning Data Quality Management by Pitney Bowes Group 1 Software

May 2008 - (Free Research) Data Profiling delivers a deeper and broader insight in a fraction of the time required by traditional approaches to data analysis.
(WHITE PAPER) READ ABSTRACT | View Now

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