[ ] PlanningBusinessDataP

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  • a.k.a. AI2 Juneau, A
  • [ ] PlanningBusinessDataP

    1. 1. Jack Stickel Alaska Dept of Transportation & Public Facilities Data Business Plan for Planning Data Management Programs March, 2005
    2. 2. Data Business Plan <ul><li>Data Business Plan Goal </li></ul><ul><ul><ul><ul><li>collecting the right data, distributing it to the right people, and applying it at the right time </li></ul></ul></ul></ul>
    3. 3. Why A Data Business Plan <ul><li>Quality data for decision support information: </li></ul><ul><ul><ul><ul><li>Allocating funds across work programs and STIP </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Measuring changes in transportation network </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Generating condition & performance reports </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Allocating funds to meet Federal reporting </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Planning highway design & safety improvements </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Managing personnel and assets </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Providing for government, legislative & public </li></ul></ul></ul></ul><ul><ul><ul><ul><li>requests </li></ul></ul></ul></ul>
    4. 4. Data Business Plan <ul><li>What is a Data Business Plan: </li></ul><ul><ul><ul><ul><li>Understand the existing data management programs </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Align data management programs with the Department’s mission and goals </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Increase the return on investment (ROI) for data management programs </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Provide a long-range plan for data management programs to meet future needs </li></ul></ul></ul></ul>
    5. 5. Data Business Plan <ul><li>Understand the data management programs: </li></ul><ul><ul><ul><ul><li>What data are being collected and by whom? </li></ul></ul></ul></ul><ul><ul><ul><ul><li>How is the data collected (procedures, equipment, coverage)? </li></ul></ul></ul></ul><ul><ul><ul><ul><li>What data standards & best practices are used? </li></ul></ul></ul></ul><ul><ul><ul><ul><li>What data processing steps are involved? </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Where is the data stored (raw,verified, summarized ? </li></ul></ul></ul></ul><ul><ul><ul><ul><li>What record keeping procedures are used? </li></ul></ul></ul></ul>
    6. 6. Data Business Plan <ul><li>Understand the data management programs : </li></ul><ul><ul><ul><ul><li>Who uses the data and what are their business processes for decision-making? </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Are there multiple sources for similar data? </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Are there or should there be ownership and/or gatekeeper controls? </li></ul></ul></ul></ul><ul><ul><ul><ul><li>How is the data accessed (PC, network, workstations)? </li></ul></ul></ul></ul><ul><ul><ul><ul><li>What is the cost of data programs? </li></ul></ul></ul></ul>
    7. 7. Data Business Plan <ul><li>Align programs with the Department’s mission: </li></ul><ul><ul><ul><ul><li>Agency - “Providing for the movement of people and goods and the delivery of state services” </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Division - “Optimize the state investment in transportation and meet federal requirements through effective planning and programming” </li></ul></ul></ul></ul>
    8. 8. Data Business Plan <ul><li>Align programs with the Division’s data related core services: </li></ul><ul><ul><ul><ul><li>“ Provide federally required highway data collection and analysis to state, federal, and local agencies” </li></ul></ul></ul></ul><ul><ul><ul><ul><li>“ Provide Geographic Information System (GIS) data collection and analysis, as well as cartographic and other technical services” </li></ul></ul></ul></ul><ul><ul><ul><ul><li>“ Develop and administer the State Highway Safety Program” </li></ul></ul></ul></ul>
    9. 9. Data Business Plan <ul><li>Increase ROA for data management programs: </li></ul><ul><ul><ul><ul><li>Reduce data redundancy and costs </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Minimize knowledge loss due to turnover and retirements through documentation </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Define data management programs performance measures </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Provide necessary investments in data management programs </li></ul></ul></ul></ul>
    10. 10. Data Business Plan <ul><li>Provide a long-range program for future needs: </li></ul><ul><ul><ul><ul><li>Ensure data users and providers have the same understanding of data program issues </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Clarify who uses data systems and under what conditions </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Describe the operational needs for data collectors, data keepers, and data users </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Define new data delivery approaches </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Promote data sharing & integration across organizational boundaries </li></ul></ul></ul></ul>
    11. 11. Data Business Plan <ul><li>Scope of project: </li></ul><ul><ul><ul><ul><li>Establish limits - planning data programs only </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Determine stakeholders - who are the data collectors, stewards, gatekeepers, and users </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Incorporate experience - determine who has experience in developing business plans (FHWA, TRB Peer Exchange) </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Follows system engineering guidelines - ITS Final Rule </li></ul></ul></ul></ul>
    12. 12. Data Business Plan <ul><li>Steps in project (2005 - 2007): </li></ul><ul><ul><ul><ul><li>Concept of Operations - (Sep 2005) </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Risk management - how programs are doing </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Performance measures - internal metrics for program measures </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Investment validation - measure value of new systems </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Data program adaptability - data needs to meet new Department/FHWA requirements </li></ul></ul></ul></ul>
    13. 13. Business Data Plan <ul><li>Concept of Operations will: </li></ul><ul><ul><ul><ul><li>Document the physical infrastructure of the data programs </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Identify how data management programs fit into Department operations </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Provide expectations on how future data programs will evolve </li></ul></ul></ul></ul>
    14. 14. Business Data Plan <ul><li>Concept of Operations looks at: </li></ul><ul><ul><ul><ul><li>All interfacing systems and stakeholders in four data management areas </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Existing procedures and documentation </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Associated technology, business processes, and work center relationships </li></ul></ul></ul></ul>
    15. 15. Business Data Plan <ul><li>Concept of Operations data management areas: </li></ul><ul><ul><ul><ul><li>Data Systems </li></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Legacy mainframe systems </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Geographic information system (GIS) </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Asset management system </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Pavement Management System (PMS) </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Traffic data system </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Highway Safety Improvement Program (HSIP) </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Bridge Management System (BMS) </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>511 Traveler Information System </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Road Weather Information System (RWIS) </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Temperature Data Probe (TDP) </li></ul></ul></ul></ul></ul>
    16. 16. Business Data Plan <ul><li>Concept of Operations data management areas: </li></ul><ul><ul><ul><ul><li>Data Infrastructure </li></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Data warehouses / data marts </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>ITS Architecture ADUS </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Spatial geodatabase </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Data integration, sharing, & linkage </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Data access - web and internal network </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Communication & networking </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Anticipated technologies </li></ul></ul></ul></ul></ul>
    17. 17. Business Data Plan <ul><li>Concept of Operations data management areas: </li></ul><ul><ul><ul><ul><li>Data stewardship </li></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Data collection plans </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Inventory processes </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Data processing </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Data reporting </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Data Storage </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Metadata </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Value-added data programs </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>National / local best practices </li></ul></ul></ul></ul></ul>
    18. 18. Business Data Plan <ul><li>Concept of Operations data management areas: </li></ul><ul><ul><ul><ul><li>Data standards and data partnerships </li></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>State IT Plan, State IT Standards, & web standards </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>ISO, IEEE, ITE, ANSDI applicable standards </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Nationally recognized standards (MMUCC) </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>State law confidentiality rules and liability </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>ITS National Architecture & Final Rule </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>ITS regional architecture - Iways & Anchorage </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>511 & RWIS partnerships </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>DMV, Emergency Response, Epidemiology, Vital Statistics partnerships </li></ul></ul></ul></ul></ul>
    19. 19. Business Data Plan <ul><li>Future data business plan work will address: </li></ul><ul><ul><ul><ul><li>Standards - naming conventions, data dictionaries, data exchange </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Data integration - future data resource opportunities in a GIS environment </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Data sharing - data formats, protocols, access </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Data quality - standards, exceptions, data flags, timeliness/availability </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Data models - existing and new logical/ physical architecture </li></ul></ul></ul></ul>

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