DAC Framework for Data Use Consist of three

DAC Framework for Data Use Consist of three phases w/ several steps: • Phase 1: Preparation – Identify relevant data • Phase 2: Inquiry 3. Test Hypothesi s to determine root cause Imp 5. for n lem la en 4. P ovem Pla ent r n Imp t 2. Conduct data analysis to – Plan for improvement – Implement Plan – Evaluate progress Data Analytics 1. re Iden le t da van ify ta t generate • Phase 3: Action 6. ate Evalu s es Progr hypothesis – Conduct data analysis to generate hypotheses – Test hypotheses to determine root causes

Root Causes Help us. . ü Resolve the issue ü Eliminate meaningless effort ü Conserve resources ü Identify efficient and effective strategies ü Move to Improvement

Three Important Criteria for Success Data Quality • Ensure that your data are valid • Ensure that your data are reliable Data Driven • Follow the data where it leads you • Only make data-based decisions Data drives Action • Leave Inquiry when you have determined Actionable Cause(s)

Phase 1: Preparation Identifying Relevant Data Reduce Data • to Issues of Concern Identify Relevant Information • program/ agency data, child data, etc. Identify data sources • websites, databases, profiles, etc.

Phase 2: Inquiry Data Analysis Create Analysis Plan To test hypothesis To determine root causes Goal: To complete the inquiry and set the foundation for Action

PHASE THREE Action Develop and Implement Improvement Plans Evaluate Progress

Virginia Part C Modules • https: //www. ideadata. org/Products. asp • Infant and Toddler Connection of Virginia: Data Analysis Process for Local System Improvement • Module 1: Overview (PPT) • Module 2: Preparation (PPT) • Module 3: Inquiry (PPT) • Module 4: Action (PPT)