Solving data quality issues by drawing a picture

Data quality is one of the biggest obstacles that organisations encounter and one that we help clients with daily. Our data management and modelling solutions can help soothe the headaches that can be caused by trying to solve data quality issues.

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A fix isn’t always a fix

It’s all too common that teams will find errors in their data, apply an intended fix, and assume that the problem has been resolved. But unfortunately, this is not always the case. If silos cause the fix to be applied in isolation, more issues to downstream users may be created than have been resolved. Lack of visibility as to the true origin of the issue, may mean your fix is not addressing the root cause.

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How can you mitigate this?

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The deployment of data management and lineage tools, such as Solidatus offer users the ability to easily visualise their data’s journey. Using UI or a variety of out-of-the-box connectors data can be tracked rapidly and easily and presented in a business-friendly manner within a broader, organisational data lineage map.

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Easy access to this enterprise-wide metadata and lineage information helps organisations to identify the correct data sources, dependencies and issues and coordinate fixes improving data consistency, timeliness and accuracy.

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Benefits of this approach are more than just data quality considerations. By centralising this knowledge, organisations can work with far greater agility, efficiency, and productivity as teams have easy access to the information they need to do their work.

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Find out more

For more information on how leveraging data lineage tooling can help solve data quality, and other issues, please contact with Scott Anderson and Steven Whaley.

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