Max Yield Data™

1. Max Yield Data™ • Max Yield Data™ (MYD) simply means “data that everyone agrees are worth the effort.” • Max Yield Data™ have been standardized, collected, and presented such that the maximum use can be made of them for decision making and reporting mandates.

2. The Goal of Max Yield Data™ • Agreement among teachers, school site administrators, program managers, and central office staff that a required report yields such useful information that all the effort put into the collection and reporting of that data is worthwhile.

3. The Four Rules of Max Yield Data™ • 1. Get the right data. • (Standards, Validity) • 2. Get the data right. • (Data Quality) • 3. Get the data right away. • (Cycle Time) • 4. Get the data the right way. • (Best Practices, Automation)

4. Shared Characteristics To be Max Yield, data must have these characteristics: • High Quality • Managed Accessibility • Certification • Interoperability • Utility • Affordability • Granularity

5. To be Max Yield, data must have these characteristics: • 1. High Quality • Timely • Valid • Reliable • Complete • Clearly Defined • Aligned Periodicity • Trusted and Relied Upon

6. To be Max Yield, data must have these characteristics: • 2. Managed Accessibility • Authority Designations • Confidentiality Designations • Reliability Designation • Ubiquitous Access (location, time) • Query, Analysis Capability • Pre-calculated Statistic • OLAP Cubes for Selected Data

7. To be Max Yield, data must have these characteristics: • 3. Certification • Official Status • Official Reports • Official Indicators and Statistics

8. To be Max Yield, data must have these characteristics: • 4. Interoperability • Linkability • Comparability • Clearly Defined

9. To be Max Yield, data must have these characteristics: • 5. Utility • Actually Used • Applicable to Information Needs • Trusted and Relied Upon

10. To be Max Yield, data must have these characteristics: • 6. Affordability • Funded Collection or Consolidation Expenses • Consolidated Collection • Practical to Collect • Alignment with Data Provider Needs, Work Flow, Systems • Automated Collection with Authentication and Verification Rules

11. To be Max Yield, data must have these characteristics: • 7. Granularity • Lowest Unit of Analysis • Appropriate Unit of Analysis

12. Technical Infrastructure for MYD • Max Yield Data™ must be supported by an adequate technical infrastructure. • Such an infrastructure must support the implementation of the characteristics of MYD described above and facilitate the management of the systems within which the MYD exist.

13. An adequate MYD infrastructure must have these characteristics: • Storage • Sufficient Storage Capacity • Efficient (Fast) Data Access Speed

14. An adequate MYD infrastructure must have these characteristics: • Compilation • Automated Submission Processes

15. An adequate MYD infrastructure must have these characteristics: • Transfer • Data Exchange Standards • Telecommunications

16. An adequate MYD infrastructure must have these characteristics: • Policy • Clear Policy for Data Management

17. An adequate MYD infrastructure must have these characteristics: • Funding • Adequate Design and Development Funds • Adequate Training and Implementation Funding • Adequate Maintenance Funding • Adequate Enhancement Funding

18. An adequate MYD infrastructure must have these characteristics: • Human Resources • Skilled and Knowledgeable Staff • Training and On-Going Development

19. An adequate MYD infrastructure must have these characteristics: • Security • Managed Access • Redundancy

20. Summary • Max Yield Data™ represent the best yield or return on the investment made to compile them. • Yield means the use and benefit derived from the data. • Investment means the direct costs and all the in-kind resources required to compile them. • Compile means the process of submitting, collecting, cleaning, and storing the data.

21. About ESP Solutions Group • Exclusively focused on K-12 education data systems • National firm – Have assisted all 52 state education agencies • Pioneered concept of K-12 “Data Driven Decision Making” (D3M) in the 1970’s • Offices in Austin and Washington DC • Major focus on SEA and Federal data systems • Provides consulting services and software products that help education agencies achieve MYD and D3M www.espsolutionsgroup.com