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  • Big Data Quality

    Without Data Quality, actionable intelligence from Big Data is incredibly challenging. Access this visual resource to uncover the benefits of high quality data for better analytics. Topics covered include: Entity extraction, authoritative results, streamlined data refinery, and more.

  • Big Data Meets Big Data Quality

    By instituting three essential data quality steps, businesses can achieve a winning recipe for actionable, meaningful analytics – worth repeating for ongoing business intelligence and insight at the highest level. Access this white paper now to learn more about what these three steps can do for your organization's data quality.

  • The Top 30 Data Quality Issues You Need to Know About

    While technology is always changing, industry experts have noticed 30 top trends over the past 30 years that continue to reappear as companies attempt to clean up their databases. This white paper presents these 30 data quality trends and gives helpful hints on how your organization can overcome these pervasive issues.

  • Data Quality Suite

    This white paper outlines 4 powerful tools for real-time verification. Discover how you can protect your database with data quality firewall to gain the following benefits: Clean contact data at point of entry or in batch, improved customer contactability, less waste and reduced undeliverable mail, and more.

  • City of Tempe Utilizes Address Validation Tool to Build Data Warehouse

    Discover how the city of Tempe was able to validate addresses to the highest level of accuracy in this case study. Learn about Tempe's unique data quality challenges and how your organization can learn from their progress.

  • Data accuracy and the bottom line: Making the case for proactive data quality

    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.

  • Total Data Quality Integration Toolkit (TDQ-IT) for Master Data Management … powered by the Microsoft SQL Server SSIS 2005/2008

    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.

  • WebSmart Services

    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.

  • Building a Robust Business Case for High Quality Master Data

    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.

  • Scalable Data Quality: A Seven Step Plan for Any Size Organization

    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.

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