Data quality management is a crucial step toward effective citizen communications and system migrations or exchanges. Managing citizen data quality includes ensuring contact data is accurate, linking contact data across public sector databases, and using third party data sources to flag suspicious records.
Data quality management strategies are important across all agencies, including tax and revenue departments, health and human service departments, department of motor vehicle, department of labor, elections, parks and recreations departments, and sheriff and court administrations. By investing in managing data quality, government agencies are able to:
With all of the new modernization efforts and mandated reforms, public sector agencies are working closely with consulting firms to help ease the migration. In doing so, agencies ensure that all requirements of the new system or platforms are met and benefit from external expertise.
|Address verification||Address verification aids government agencies in their quest to improve operational efficiencies while reducing back-end rework.|
|Data matching software||Data matching software uses fuzzy matching technology to clean and standardize constituent contact information within a database. Matching software ensures there are no duplicates in the database, reducing any unnecessary mailings and associated costs.
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