Improving the health of your data

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With the growing availability of data and ever-increasing demands from the individuals you serve, the Health and Human Services (HHS) industry requires more advanced technology to meet the needs of your constituents. As your agency undertakes a modernization project and leaves the legacy system behind, you should use this opportunity to improve the health of your data.

Out with the old, in with the new

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Where to begin?

Many HHS agencies begin their modernization efforts by securing Federal funding, and then often immediately invest a good deal of money in hiring a consultant or third-party vendor to lead the modernization effort. This process, however, ignores a critical first step to modernization…

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Evaluating your data in your existing systems should be the first step in your modernization project. This helps give you a better idea of its current state, and what it will take to make your data fit for purpose for the new system. Identifying what your data looks like and where the greatest challenges may arise can help inform what you look for in a new system and a consultant or vendor.

Knowing where you are means knowing where you’ve been

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Did you know?

31% of government

agencies have a data migration planned

this year.

Data quality issues are the main delay in data

migration projects.

Less than half of government agencies

trust their data to make important

business decisions.

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While most HHS professionals are aware that they may have data quality issues—with 25 percent believing their current customer or constituent data is inaccurate in some way—many struggle to figure out where the issues stem from, and how to remedy them. This is often due to a lack of resources in highly-skilled IT staff or the appropriate technology.

What resources does your agency rely on for its data quality strategy?

Diagnosing the issues

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Even for those HHS organizations with highly skilled IT teams, or with the tools needed to identify data quality issues within their systems, they often take a reactive approach to managing their data.In the same way that proactive, and preventative care helps a person stay healthy, a proactive data quality strategy can significantly improve the health of your data.

The picture of health

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• Data profiling will set you on the road to healthy data by allowing you to assess your information and discover relationships among that you may not have otherwise identified.

• Data cleansing can help you clean existing data to ensure that it is accurate and up-to-date, and it can also ensure that you collect only correct constituent information moving forward.

• Data standardization enables you to combine your information through a set of rules that will restructure your data in a way that provides greater usability across your organization.

Staying on top of your data quality

• Data matching helps you discover links within your constituent data and identify duplicates to gain a better understanding of who is utilizing your services.

• Data enrichment provides you with additional information and insights on your constituents. You can use this information to tailor experiences, services, and programs to best suit their needs.

• Data monitoring can help you keep your data healthy at all times by ensuring that your information consistently meets the data quality standards you set.

These are some key data quality capabilities to incorporate into a successful strategy:

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Your agency does some of the most important work there is: keeping people

healthy.

We can help make your job a little easier by making sure your data is healthy.

Learn more