1. February 16, 2012

2.  About us ◦ Data Governance ◦ Enterprise Architecture  History ◦ SLDS Grant ◦ RFP ◦ Metadata  Troux ◦ Basics of  Troux Information Metamodel ◦ Troux Information Portal ◦ Reports ◦ Future Plans 2 October 2011

3.  The essential notion behind establishing a K-12 data governance system is that decisions are only as good as the data on which they are based.  As we transform data into information to facilitate wise decision- making, users and managers of K-12 data need to establish data definitions, data and process ownership and authority, accountability, security, and reporting needs and requirements.  The goal of the K-12 data governance effort is to bring clarity and understanding to these issues. 3

4.  To achieve this, we have taken action on several fronts in Washington ◦ Defined the business problem ◦ Obtained Executive sponsorship ◦ Established a Data Governance Group and Data Management Committee  Data owners and stewards ◦ Adopted a Data Governance Manual 4

5.  Next steps in on the Data Governance path*: ◦ Build data dictionary ◦ Understand the data ◦ Create metadata repository  Need a tool to accomplish these items and Troux provides the functionality 5 * "The IBM Data Governance Unified Process" Sunil Soares 2010

6. 6 2010 IBM Corp IBM Data Governance Unified Process

7.  A function that helps find the most efficient way for an organization to act on its strategies.  Goals are ◦ Effectiveness ◦ Efficiency ◦ Agility ◦ Durability  How – Need to understand relationships in your enterprise. 7

8. 8 Business Information Applications Technology Information

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10. Troux Architect Troux Portals Troux Metaverse

11. 11 Architect is an extensible modeling tool

12. 12 Portals are customizable websites to access data, reports and analysis

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14. 14  Our original, simple metadata model.  Based on NCES Forum Guide to Metadata.

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25.  Finish mapping to CEDS and export to Data Alignment tool  Reducing the burden on school districts ◦ Finding duplicate data collections ◦ Identifying unnecessary data collections  Automate population of Troux Information  Data Manuals by System/Data Asset 25

26. Bill Huennekens bill.huennekens@k12.wa.us Nathan Clinton nathan.clinton@k12.wa.us 26