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    Resource Spotlight: White Paper

    The Build vs Buy Challenge

    Learn the guidelines and considerations to determine when data quality is best addressed in-house, with off-the-shelf solutions, or both.

    Read Now

    Data Quality Suite

    This API bundle brings together our most popular data quality tools - all in one place.

    Learn More
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    Resource Spotlight: White Paper

    The Build vs Buy Challenge

    Learn the guidelines and considerations to determine when data quality is best addressed in-house, with off-the-shelf solutions, or both.

    Read Now

    Data Quality Suite

    This API bundle brings together our most popular data quality tools - all in one place.

    Learn More
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  1. Resources
  2. The Build vs Buy Challenge

The Build vs Buy Challenge

Insight into a Hybrid Approach

The Build vs Buy Challenge

Maintaining high quality data is essential for operational efficiency, meaningful analytics and good long-term customer relationships. But, when dealing with multiple sources of data, data quality becomes complex, so you need to know when you should build a custom data quality tools over canned solutions. To answer this question, it is important to understand the difference between rules-based data quality, where internal subject matter expertise is necessary – and active data quality, where different domain expertise and resources are required.

Download Melissa’s free white paper for guidelines and considerations to determine when data quality is best addressed in-house, or with off-the-shelf solutions, or a combination of both.

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