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  • by Tracey Rousell
  • Posted on November 26, 2013
  • Data Integration & Cleansing

We’ve recently been analysing client data sources through our data quality module, MasterVision DQ, and one of the findings we were interested to note was the limited information available for individuals’ subject interests. This is […]

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The wacky world of organisational IDs

  • by DataSalon
  • Posted on November 22, 2013October 28, 2014
  • Customer Insight

We’ve been reading the recent CASRAI-UK Organisational ID report on institutional identifiers in the UK with interest. The report was commissioned by JISC to provide a landscape review of organisational identifiers currently used, and makes […]

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Pulling rabbits from a hat: conjuring up missing info

  • by Tracey Rousell
  • Posted on September 19, 2013
  • Data Integration & Cleansing

One of the issues we often encounter with the files we receive from clients is that of incomplete data. When values are missing altogether, or are contained in the wrong fields, we have developed a […]

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Data quality – A matter of life and death?

  • by Tracey Rousell
  • Posted on September 13, 2013September 16, 2013
  • Data Integration & Cleansing

The subject of data quality and the fast and furious world of motor racing may seem worlds apart, yet as I watched a particularly exciting motorcycle race recently, it occurred to me just how vital […]

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Customer data & the perspective problem

  • by Nick Andrews
  • Posted on August 22, 2013
  • Data Integration & Cleansing

There’s an interesting issue we’ve noticed several times in recent months. It arises for publishers when departments want to access a broader set of customer data. That’s a great aim, but the way it’s raised […]

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Is your data getting “too old to trust”?

  • by Nick Andrews
  • Posted on June 13, 2013
  • Data Integration & Cleansing

We recently announced a major new data quality module within our customer insight service MasterVision, and have since been having fun playing around with this new set of tools to see what we can discover. […]

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A beginner’s guide to data governance

  • by DataSalon
  • Posted on February 28, 2013
  • Data Integration & Cleansing

As we saw in last month’s article (“Why data quality matters”), the issue of data quality is becoming an essential point of basic good practice for all scholarly publishers. So, having noted the pitfalls of […]

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The 7 deadly sins of data quality

  • by Nick Andrews
  • Posted on September 27, 2012October 23, 2014
  • Data Integration & Cleansing

One of the side effects of creating an integrated single customer view with a system like MasterVision is that it can bring to light issues of data quality which may previously have been hidden from […]

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The art of deduplication

  • by Nick Andrews
  • Posted on April 29, 2009October 23, 2014
  • Data Integration & Cleansing

Deduplicating data effectively is a key part of building a single customer view, allowing a complete picture to be gained of everything known about your contacts. This can be more difficult than it sounds, often […]

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Clever techniques for comparing lists

  • by Jon Monday
  • Posted on September 25, 2008October 23, 2014
  • Data Integration & Cleansing

Comparing two or more lists is a common task in data analysis, but is not always as simple as it sounds. This month we explore five techniques that can help provide insight when performing list […]

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