SSIS Data Cleanup Effort
SSIS Data Cleanup Efforts: April Kickoff
Minnesota is preparing for the transition from SSIS to the state’s future CCWIS‑compliant child welfare information system. A major part of this work is early, consistent data cleanup. As this work begins, we will share early steps agencies can take to strengthen the data that will move into the new system.
Selecting the Category on the Sentiments and Feedback page labeled “Data Cleanup Efforts” will bring you to the articles that provide monthly priorities, statewide progress updates, and helpful resources.
Why Start Cleanup Now?
Early cleanup:
- Improves accuracy for data conversion
- Prevents backlogs during training and transition
- Supports current reporting and audit needs
- Reduces the risk of data failing to migrate
Focus: Clearing Log (Uncleared Clients)
Clearing is the first statewide priority. Uncleared clients create major conversion risks, and statewide backlogs remain high.
Agencies should:
- Resolve uncleared or mismatched clients, including “ZZ Help Desk SSIS/D” entries
- Use Reconcile when needed
- Address existing Clearing backlogs and create a plan to prevent new ones
Statewide baseline (March 2026): 29,234 uncleared clients
Targeted support for agencies with continued high numbers will begin in May. Below is the agency breakdown – in the future we will post agency names along with percent of improvement for each.

Clearing Resources:
- Full Clearing Document
- Clearing FAQs
- Client Clearing eLearning Module
Note: Intakes Needing Action will be the statewide cleanup focus next month.
Ongoing Support
Agencies can expect monthly cleanup guidance, direct outreach when needed, and access to job aids, Coffee Talks, training links, and documentation through the SSIS Update, Sentiment & Feedback platform, and SSIS technical meetings.
Get Started This Week
- Clear overdue clients
- Identify staff responsible for Clearing
- Set weekly or biweekly cleanup routines
- Review available Clearing resources
These early steps will help reduce future workload and support a smoother transition to the new CCWIS system.
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