Max Yield Data Max Yield Data MYD simply
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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. © 2005 ESP Solutions Group
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. © 2005 ESP Solutions Group
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) © 2005 ESP Solutions Group
Shared Characteristics To be Max Yield, data must have these characteristics: 1. High Quality 2. Managed Accessibility 3. Certification 4. Interoperability 5. Utility 6. Affordability 7. Granularity © 2005 ESP Solutions Group
To be Max Yield, data must have these characteristics: • 1. High Quality • • Timely Valid Reliable Complete Clearly Defined Aligned Periodicity Trusted and Relied Upon © 2005 ESP Solutions Group
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 © 2005 ESP Solutions Group
To be Max Yield, data must have these characteristics: • 3. Certification • Official Status • Official Reports • Official Indicators and Statistics © 2005 ESP Solutions Group
To be Max Yield, data must have these characteristics: • 4. Interoperability • Linkability • Comparability • Clearly Defined © 2005 ESP Solutions Group
To be Max Yield, data must have these characteristics: • 5. Utility • Actually Used • Applicable to Information Needs • Trusted and Relied Upon © 2005 ESP Solutions Group
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 © 2005 ESP Solutions Group
To be Max Yield, data must have these characteristics: • 7. Granularity • Lowest Unit of Analysis • Appropriate Unit of Analysis © 2005 ESP Solutions Group
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. © 2005 ESP Solutions Group
An adequate MYD infrastructure must have these characteristics: • Storage • Sufficient Storage Capacity • Efficient (Fast) Data Access Speed © 2005 ESP Solutions Group
An adequate MYD infrastructure must have these characteristics: • Compilation • Automated Submission Processes © 2005 ESP Solutions Group
An adequate MYD infrastructure must have these characteristics: • Transfer • Data Exchange Standards • Telecommunications © 2005 ESP Solutions Group
An adequate MYD infrastructure must have these characteristics: • Policy • Clear Policy for Data Management © 2005 ESP Solutions Group
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 © 2005 ESP Solutions Group
An adequate MYD infrastructure must have these characteristics: • Human Resources • Skilled and Knowledgeable Staff • Training and On-Going Development © 2005 ESP Solutions Group
An adequate MYD infrastructure must have these characteristics: • Security • Managed Access • Redundancy © 2005 ESP Solutions Group
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. © 2005 ESP Solutions Group
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” (D 3 M) 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 D 3 M www. espsolutionsgroup. com © 2005 ESP Solutions Group
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