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

Inaugural blog entry from Melissa Data’s Data Quality Evangelist Ira Whiteside

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For my inaugural blog I would like to direct you to Jim Harris Obsessive-Compulsive Data Quality post on Data Profiling. He makes several important points regarding the techniques and methodologies in Data Profiling, and since I am not vendor neutral I would point out we provide all the capabilities Jim describes and more for SSIS.  Also I recently posted an article on Fuzzy Matching in TSQL on SQL Server.

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