Experian for Health and Human Services
Data quality management for CCWIS and regulatory compliance
Contact usImproving a child's quality of life with data quality management
As your organization strives to provide the best experience possible, access to high-quality and relevant information is critical. New regulations around improving data quality and modernizing legacy technology will require today's Health and Human Services (HHS) to adhere to certain data quality standards and effectively report on those metrics.
When you are receiving and relying on data more than ever before, a lack of standardization and data quality can make it challenging to deliver a superior experience to those receiving benefits. This is where our holistic data quality management solutions can help.
The impacts of poor data quality can derail data migrations, reduce operational efficiency, and create endless cycle of reactive data quality resolution. For instance, agencies must work to ensure that their AFCARS reports are accurate and timely. This requires that the quality of data has been managed proactively and effectively. If not, rejections and requested re-works that will be required by the federal government are time consuming and a strain on resources. Making sure that correct data is going into required reports is not only crucial for following regulations, but it also allows agencies to provide the right services for the right people.
How better quality data can improve child welfare outcomes
With a community of parents, legal guardians, siblings, and case workers surrounding each person, welfare agencies acquire an overwhelming amount of data about everyone involved in each child’s unique situation. How will your agency handle it?
Power the best results for children and families
We've transformed the way other agencies used their data. Let us help you next
We can help you profile and analyze existing data to more effectively prioritize your data strategy.
- Data quality monitoring and alerts
- Automated functions to evaluate the quality of data from exchanges
- Ongoing data quality reporting and data profiling
- De-dupe and matching
- Proactive quality checks on data elements for AFCARS reports