All resources sponsored by:

Melissa Data Corp

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Data accuracy and the bottom line: Making the case for proactive data quality
sponsored by Melissa Data Corp
EGUIDE:This exclusive guide outlines key data quality challenges, the business ramifications of poor data quality, and steps to implementing a forward-thinking data quality approach.
Posted: 17 Jan 2013 | Published: 17 Jan 2013
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TOPICS:  Data Quality

Total Data Quality Integration Toolkit (TDQ-IT) for Master Data Management … powered by the Microsoft SQL Server SSIS 2005/2008
sponsored by Melissa Data Corp
WHITE PAPER:The Total Data Quality Integration Toolkit is an affordable, full-featured enterprise data integration platform and rich development environment for creating and managing data assets that can be leveraged specifically for MDM applications. TDQ-IT leverages SSIS to provide a flexible, effective solution for data quality and MDM initiatives.
Posted: 20 Apr 2010 | Published: 20 Apr 2010
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WebSmart Services
sponsored by Melissa Data Corp
WHITE PAPER:Melissa Data’s WebSmart Services can handle your data quality needs. Ensure that your contact data, including addresses, names, phone numbers, and emails are valid, and use existing data to append additional information to enhance initiatives. The WebSmart services can be integrated into the business chain to ensure the integrity of your database.
Posted: 20 Apr 2010 | Published: 20 Apr 2010
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Building a Robust Business Case for High Quality Master Data
sponsored by Melissa Data Corp
WHITE PAPER:This white paper explains the key elements for building a proper, quantified business case. It presents the measures that are favored by corporate finance departments, and helps develop a strong business case for data quality and MDM projects. A number of real-life examples with quantifiable benefits are also included.
Posted: 19 Apr 2010 | Published: 01 Feb 2010
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Scalable Data Quality: A Seven Step Plan for Any Size Organization
sponsored by Melissa Data Corp
WHITE PAPER:No matter the size of your business, data quality is an absolute requirement for success. Learn the seven steps you need to develop a plan for data quality - one that scales to your growing business needs.
Posted: 07 Jun 2007 | Published: 01 Jun 2007
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