Why in-house data quality projects fail

Inside you’ll learn:

In our decades of working with Fortune 500 companies, enterprise organizations & public sector institutions in 40+ countries, we have consistently seen in-house data quality solutions failing. In this whitepaper, you will:

  • Identify common causes of poor Data Quality.
  • Understand the consequences of ignoring poor data quality.
  • Gain insight on why in-house data quality solutions fail & at what costs.
  • Be aware of accurate data matching as a data quality challenge that cannot be managed in-house.
  • Make an informed decision on using Data Ladder as your go-to tool for data matching & data cleansing.
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Merging Data from Multiple Sources – Challenges and Solutions

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