Case Study: University of Iowa, College of Dentistry

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In this case study, The University of Iowa’s College of Dentistry successfully cleaned their database of bad addresses and cut back on returned mail with Melissa Data’s Data Quality Suite. Most of the clinic’s database errors were caused by patients intentionally providing fictional billing information; the administration having difficulty reading the patients’ forms; or even simple clerical mistakes. Therefore, it was imperative for the university’s clinic to find a solution that would verify and correct addresses and contact information in real-time during data entry – to maintain contact with their patients.Read More

How to Enrich Your Data by Extending the Power of SSIS

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Bad data is a challenge for all organizations. Without data that is reliable, accurate and updated, organizations can’t deliver trusted customer, product and other vital data throughout the enterprise – resulting in waste and operational inefficiencies, less effective sales and marketing, poor customer service and potentially bad business decisions.


That’s why many companies choose to incorporate data quality directly into their data integration architecture.Read More

Melissa Data Announces New IP Address Locator Tool

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The new IP Locator Object allows users to identify where Internet visitors are coming from to help increase click-through and sales. Available as either an API or a Web service, it helps companies enhance geotargeting initiatives and identify Internet user’s geographic location; including country, region, city, lat/long, ZIP Code™, ISP and domain name, all without invading, or being perceived as invading, the visitor’s privacy.… Read More

SSIS Toolkit Debuts at PASS Summit

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Hello All!

We introduced our new SSIS Toolkit of data quality transforms at the PASS Summit in Seattle this week to positive response. Total Data Quality Integration Toolkit (TDQ-IT) is the most affordable, full featured enterprise data integration platform to help IT professionals integrate increasingly complex enterprise data – in all its different formats, structures, and sources, and deliver a single view of critical information assets.… Read More