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Author: Rachel Margolis

5 great ways to squeeze more juice out of your data

  • by Rachel Margolis
  • Posted on August 17, 2017
  • Data Integration & Cleansing

When you hear the phrase ‘data quality’, you may immediately think of fixing errors, and obviously that’s a fundamental part of improving the quality of your data. But there’s much more to a comprehensive data […]

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Getting ready for the GDPR

  • by Rachel Margolis
  • Posted on July 17, 2017July 18, 2017
  • Management Essentials

Next year, new data protection law will come into effect in the European Union. Here, we look at the provisions of this new law and what publishers can do to get ready for the change. […]

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Filters: the data quality Swiss Army knife

  • by Rachel Margolis
  • Posted on May 22, 2017
  • Data Integration & Cleansing

One of the issues we’ve come across in developing our new data quality tool is the sheer size of many of the data source tables. This makes a good method of filtering absolutely essential, both […]

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5 great ways to chart your data

  • by Rachel Margolis
  • Posted on March 15, 2017
  • Customer Insight

A key area of focus for enhancing our core product, MasterVision, is our new analytics functionality. Here are just a few of the great things publishers can do with this tool. 1. View a detailed breakdown of […]

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Organization IDs: a new hope

  • by Rachel Margolis
  • Posted on February 21, 2017
  • Data Integration & Cleansing

A key part of the service we offer (through MasterVision) is helping publishers identify different versions of the same customer across various databases, and then joining those together into a single, unique record. This could mean untangling the […]

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Clever segmentation the easy way

  • by Rachel Margolis
  • Posted on January 27, 2016February 8, 2016
  • Publisher Marketing

MasterVision gives you complete customer insight, allowing you to see inter-relations between data from different source systems. The multiple tabs in the search form allow you to search with ease across several different data sources […]

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