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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
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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
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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
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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
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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” (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
© 2005 ESP Solutions Group