How big is the organization Amount of data Complexity Number of users within Enterprise

1. Agency Summary Logos Quote on Success………………………… and lessons learned.” - XXXXXX, CIO, YYYYYYY Type of Practice Governance Structure Approach used • How big is the organization • Amount of data • Complexity • Number of users within Enterprise • Cross Enterprise Sharing • Describe the structure and data architecture solution • Set of practices that have been used….. To address Structure issues • Data Architecture elements and standards used Information Sharing and Exchange Results and Outcomes • What are the current results? • What are the long term expected results? • How did it effect the organizational performance? • What was big problem you faced? • How was it overcome? • What would you recommend? • What should be avoided?

2. Information Exchange Summary Logos Quote on Success………………………… and lessons learned.” - XXXXXX, CIO, YYYYYYY Type of Practice Information Sharing/Exchange Summary Information Sharing Techniques used • What are the organizations that must share information • Amount of data by topic areas • Complexity • Number of users with • Cross Enterprise Sharing • Describe the solution • Set of practices that have been used….. Challenges Faced Results • What are the current results? • What are the long term expected results? • How did it effect the performance on given areas? • What was big problem you faced? • How was it overcome? • What would you recommend? • What should be avoided?

3. Actions: Communication- Work with Communication- Outreach Group • Organize into Practice Categories • Gather EA, COI, Individual Practices, Shared Points around one or more facets of the “journey” and link to maturity model • Publish and Disseminate: Core.gov and other means- work with Communication and Outreach Subgroup • . Create a Change Plan and Transformation Roadmap showing multiple Paths on a Journey to data management maturity that fits your situation. Summarize with series of One-Page Powerpoints. • Recognize those making Achievement: newsletters, awards, best-practice session at ArchitecturePlus, etc • Identify Gaps and areas where new guidance are needed- send to other subgroups-make recommendations especially around pain points • Business Results and Outcomes- Data Management Dashboard prototype: Goals-Questions-Indicators- Measures

4. DRM Deployment Strategy: Force Field Analysis for Getting Started- What are the enablers and inhibitors? PerceivedInhibitors Phase I: Getting Started Enablers Each Model and Data System Developed Separately: Proprietary Data Services Standards: examples person-centric Standards Definitions • Governance • Recommend • Data and Business Standards Assessment and Generic Tasks: Tailorable Trying to solve all design Issues without results Phased Approach • Migration and Interim Arch • Reengineering Support Center New Concepts/Practices & Evolutionary Process Gap between “state of art” And “state of practice” Education and Support • Training • Active Support • Demonstration Lab Similar Successful Projects “Show me” – many elements are new Model Implementation • Prove Concepts- Tactical • Gain Early Business Value DRM Layered Models – SimilarExperiences Risks of New Technologies Strategic Enterprise Architecture • Strategic Tech • Vision • Layered

5. Overview Data Transformation Roadmap: Addressing BothAgency Approach and COI Approach Elements of Good Practices: for Tailoring 1. Assessment: Process and Solution Maturity 5. Data Improvement Dashboard & Tracking Agency Approach COI Approach 4. Phased Data Improvements 2. Readiness- Acceptance- Planning 3. Best Practices & Next Practices

6. 1. Assessment: Process and Solution Maturity 2. Readiness-Acceptance-Planning 3. Best Practices & Next Practices Use the Data Management Maturity Model and understanding of Business-Data Strategic Goals to select Phased Data Improvements Is your enterprise or the related communities of interest ready for new practices, outreach and acceptance of new DRM elements and planning for their implementation Review the available best practices and determine which can fit your situation. Multi-Phase Data Management Strategy

7. 4. Phased Data Improvements 5. Data Improvement Dashboard & Tracking Create a master schedule and integrate with the EA Transition and Transformation plan on Data and Information Improvements Track the incremental results and outcomes from data improvements and link to the series of projects that have dependencies. Multi-Phase Data Management Strategy

8. Data Transformation Roadmap Readiness- Acceptance-Planning What are others Doing? DRM- Business Driven Strategic Goals COI Goal Alignment Transformation Goal Alignment Agency Strategic Goals Phase I: Data Architecture andEA Alignment Development Approach Overview Learning: Concepts and New Practices

9. Generic Task for 6 month Start Up Project Phase I :Data Architecture andEA Alignment Development Approach Overview Open Issues and Future Concerns Business-Drivers For Data and Information Changes Conceptual-level Special Analysis: Scenarios: Information Sharing, Project Alignment & Sequencing Plan EA Models & Projects DRM Practice tailoring Logical-level Architecture Collection Current Data Architecture: Opportunities For Improvements Date 6 Target Conceptual Data Arch Strategic Business-Data Vision Information Product Maps Governance & Project Alignment Develop Data Migration Strategy Data Services Date 7 Date 1 Date 2 P-Date 4 Transformation & Migration Strategy Date 3 F- Date 5 Data Architecture- Data Meta Models/ Repository and Links to EA Business Impacts & Cases Next Practices: Evolutionary Game Plan Governance & Collaborative Change Process Iterative Refinement in multiple Phases

10. Generic Task for 6 month Start Up ProjectProducts Produced:Re-Engineering Data Management Strategy Development Gather Current Data Models and Create Data Standards Landscape Business Data Needs Conceptual Level: Data Management Assessment & Strategy Data Management and Data Sharing Solution Sets Generic Data Access Utility Service Data Progress Dashboard: Address Concerns & Design Trades Conceptual: Phased Logical Data Model & Refactorings Data Modeling Tools & Refactoring Guidance Business-Opportunities for Improvements and Data Issues Repository

11. DRM: Three Year Plan Phase I: 4-6 months Data Architecture-Data Services and Data Migration Strategy- Align with the EA Phase II: First Segment of Logical Model: 6 months • Framing and Foundation of Data Services and Data Sharing Capabilities • Early Results • Fit with Communities of Interest: Internal and External to your Enterprise • Phase III- VI…..6 month segments- 2 years- align with Strategically important projects • Tracking and Data Performance Scorecard… • Address key concerns at each time-box • Process Maturity and Product Artifacts More complete • Results and Outcomes Achieved • Recognize Successes Throughout… • Start from your Strengthens- Appreciate what you have • Data Progress Dashboard

12. What are DRM – Next Practices? • Introduce DRM concepts into your Data Team and EA • What is going on that can be leveraged? Appreciate what you have! • What are the organizational goals that better data and information can achieve? • Data maturity Assessment • Consider a set of next practices • Develop a Strategic Data and Information Improvement Plan- multi-year with some early results now. • Integrate with EA Development plan: 90-120 day Data Action Plan • Generic Draft Plan and Products that can be tailored How does DRM Fit into the EA Process? *

13. Candidate Practice: Meta Data Patterns Information Product- Maps (MIT TDQM) Information Product Taxonomy/Templates Information Quality Assessment- Assessment Tools and building assessment into Data Streams Meta Tagging and Design Standards Actions: Reviewed Dave Hay book- talked to him – he is working on intelligence job and will relate what he is doing there to the DRM Reviewed Rich Wang work and talked to him about integrating IP-Map and Assessment Techniques- Conference Nov 11-12 Seems to be some of what some of the organizations have done??? Look at some of the products Seem to be doing this more in the network and content world Candidate Next Practices- Under Review

14. Candidate Practice: Master Data Management & Governance OMG Data Distribution Services Data Refactoring Techniques Common Data and Information Services Data Discovery and Data Harmonization Services Data Strategy Plans Data Maturity Models Semantics Actions: Have to find expert in this area Reviewing the standards- talk to the companies involved in the standard- December 5- Washington DC Workshop talk to US Navy Open Architecture Lead- Leslie Madden- NSWC-DD, others Studied Data Refactoring book- see who is applying idea Investigate through EII vendors who are producing data services if any open-source like libraries are available. Approach used by EPA CDX- could those become library. Candidate Next Practices- Under Review

15. Candidate Practice: Data Discovery and Data Harmonization Services Data Strategy Plans Data Maturity Models Semantics Actions: Is there any process document explaining how this is done- looks like the process being used by the HL7/Data Services Group Books on Data Strategy- looks like the DOI, State, others maybe following these ideas DAMA- talk to Peter Aiken and others SICOP- meeting had many interesting companies and researchers. Candidate Next Practices- Under Review