Services > State and Local

Data standardization

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Ad Hoc’s Data Standardization & Modernization Solution enables state agencies to clean, standardize, and integrate data in preparation for system modernization. Our solution provides data governance frameworks, automated data pipelines, and structured migration strategies to ensure legacy payroll systems transition smoothly to modern platforms. By leveraging cloud-based data processing, API-driven integration, and analytics-ready architecture, agencies gain high-quality, structured data that reduces migration risk, improves reporting accuracy, and accelerates digital transformation.

A structured, repeatable framework to modernization

State governments face significant challenges in modernizing legacy systems, particularly when dealing with inconsistent data, siloed agency records, and outdated mainframes. Ad Hoc’s Data Standardization & Modernization services provide a structured, repeatable framework to ensure data integrity, interoperability, and readiness for modernization efforts.

Data standardization & governance

Establishing a single source of truth across agencies by defining data standards and cleaning historical records.

Automated data pipelines & integration

Extracting, transforming, and loading (ETL) data into a modern data warehouse, ensuring compatibility with future satellite or downstream systems.

Migration readiness & risk reduction

Providing a structured roadmap for transitioning from legacy systems, minimizing disruptions and compliance risks

Advanced reporting & analytics

Enabling real-time insights with a scalable data architecture that integrates with modern BI tools.

Proven impact

Our approach has helped prepare state payroll records for modernization, eliminating data silos and enabling seamless system transition. To date, we have:
  • Conducted comprehensive research identifying pain points and data gaps to better understand user needs regarding payroll data.
  • Standardized data definitions across state agencies by analyzing existing schemas, data fields, and formatting differences.
  • Developed a Data Catalog and Dictionary as the source of truth for payroll data, defining minimum requirements, documenting deviations, and achieving consensus on key fields.
  • Developed a framework for auditing and improving data accuracy, including a data quality dashboard to identify violations and initiate cleanup efforts.
By adopting Ad Hoc’s solution, states can streamline data transformation, reduce implementation risks, and future-proof their data infrastructure for modernization success.

Get started today

If your organization is interested in the possibilities we can provide for your state or local government needs, let’s chat.

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