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Enterprise Data Maps


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Enterprise Data Maps

  1. 1. Three Year IT Management and Budget Plan Enterprise Data Maps 07.21.2006
  2. 2. Agenda <ul><li>Clarify 3 Year Plan Instructions </li></ul><ul><li>Enterprise Data Maps Discussion </li></ul><ul><li>Open Discussion </li></ul>
  3. 3. Clarify 3 Year Plan Instructions
  4. 4. 3 Year Plan Clarification <ul><li>Technology Assets -> Database </li></ul><ul><ul><li>Production databases only </li></ul></ul><ul><ul><li>Mainframe and server based databases </li></ul></ul><ul><ul><li>Databases that are integrated into third party software probably should not be counted </li></ul></ul><ul><ul><li>Non-relational databases really do not have “tables” but use that area to list the number of non-relational databases that exist </li></ul></ul>
  5. 5. 3 Year Plan Clarification <ul><li>Business Contingency Planning / IT Disaster Recovery </li></ul><ul><ul><li>Hot button issue for ITAB and Executive CITO </li></ul></ul><ul><ul><li>The split was made to see the level of disaster planning that is occurring </li></ul></ul><ul><ul><li>These two plans can exist in one document </li></ul></ul><ul><ul><li>Simple “Yes” or “No” question, but feel free to add any additional information that helps to crystallize your agency’s disaster planning </li></ul></ul>
  6. 6. Any Other Questions?
  7. 7. Enterprise Data Maps
  8. 8. Overview <ul><li>Part of the Enterprise Architecture models added to the Three Year Plan last year </li></ul><ul><li>Still and optional section in this year’s Three Year Plan </li></ul><ul><li>There is no timeline for this to be included, but would be a good idea to start looking at it sooner rather than later </li></ul>
  9. 9. What is an Enterprise Data Map? <ul><li>Graphical, condensed, high level representation of your agencies data </li></ul><ul><li>This could be shown in a number of ways </li></ul><ul><ul><li>Conceptual Data Model </li></ul></ul><ul><ul><ul><li>Non-technical, as seen by a business person </li></ul></ul></ul><ul><ul><li>Logical Data Model </li></ul></ul><ul><ul><ul><li>How business data objects would be implemented in an Information system, how the database designer would see it </li></ul></ul></ul><ul><ul><li>Physical Data Model </li></ul></ul><ul><ul><ul><li>How the logical data would be organized, how the database developer would see it </li></ul></ul></ul>
  10. 10. What are we asking for? <ul><li>Somewhere between the conceptual and logical model </li></ul><ul><ul><li>We want conceptual information organized logically. </li></ul></ul><ul><ul><li>Want a list of subject areas, i.e. Customer, Product, Employee. </li></ul></ul><ul><ul><li>The logical part is that we would like to see some of the high level groupings, interactions, and relationships. </li></ul></ul>
  11. 11. Why an Enterprise Data Map? <ul><li>A model that will allow the state to understand the data that exists </li></ul><ul><li>A model that will help develop common data standards </li></ul><ul><li>A model that will help data interoperability </li></ul><ul><li>A model that will allow for a discussion on data to take place </li></ul>
  12. 12. Why? (continued) <ul><li>High Level understanding of what data you are collecting as an agency </li></ul><ul><li>Find redundant and inefficient data exchanges </li></ul><ul><li>Find possible collaboration points or additional data exchanges </li></ul>
  13. 13. Background: Federal Data Reference Model <ul><li>The FEA Data Reference Model (DRM) is intended to promote the common identification, use, and appropriate sharing of data/information across the federal government through its standardization of data in the following three areas: </li></ul><ul><ul><li>Data Context – A standard approach to representing taxonomies that an agency uses to categorize its data. Such categorization enables the business context of data to be well understood. </li></ul></ul><ul><ul><li>Data Sharing – A standard approach to describing the characteristics and requirements of interagency data exchanges, including data sources. Defines a standard message structure known as an Information Exchange Package. </li></ul></ul><ul><ul><li>Data Description – A standard approach to describing an agency’s structured, semistructured, and unstructured data. Structured data includes individual entities (such as those defined within a data architecture), their attributes, and the relationships between them. Unstructured data includes multimedia files, and documents created using earlier versions of applications such as Microsoft Word. Semi-structured data includes Web pages and e-mails. </li></ul></ul>
  14. 14. Our Approach vs. Federal Approach <ul><li>We are not mandating anything. </li></ul><ul><li>Our approach is to give you complete flexibility in context, sharing, and description </li></ul><ul><li>In time we may look at standardization (and it will probably not be mandatory), but that is years down the road </li></ul><ul><ul><li>Unless there are some interested parties and then we will be happy to start helping you develop strategies for this </li></ul></ul>
  15. 15. Example #1 – Too much information
  16. 17. Example #2 – Correct Level of Information
  17. 19. How to complete an Enterprise Data Map? <ul><li>I am not a DBA / Application developer by trade, so my knowledge on this is limited </li></ul><ul><li>But remember we are looking for high level information </li></ul><ul><ul><li>Customer Information rather than First Name, Last Name, Address, Billing information, ect </li></ul></ul><ul><ul><li>Critical information </li></ul></ul><ul><ul><li>Column level data </li></ul></ul>
  18. 20. How? (continued) <ul><li>I would start by trying to compile all your agencies data by system </li></ul><ul><ul><li>Could also look at stand alone databases </li></ul></ul><ul><li>Then with that data look for any natural groupings that exist for naming consistency </li></ul><ul><li>Aggregating this master set of information will be critical to get this effort in the proper scope </li></ul><ul><li>Then begin to find any linkages between the different data sets </li></ul><ul><li>Finally plot all those pieces </li></ul>
  19. 21. Issues <ul><li>This is a large undertaking </li></ul><ul><ul><li>We know this. We think it is an important undertaking for Kansas. That is why we are talking about it now and not making it required. </li></ul></ul><ul><li>Trying to drill down to deeply in your data. </li></ul><ul><ul><li>Having too much information will be a detriment to fitting this on a single page </li></ul></ul><ul><ul><li>Remember KDOT took 50+ databases, 4000+ tables, and 100000+ rows and fit the summary on a page. </li></ul></ul>
  20. 22. Level of Detail <ul><li>Provide what ever level of detail you can realistically complete in the given time. </li></ul><ul><li>We would rather see a partial data map than no data map </li></ul><ul><ul><li>Submit it to us as a “draft” and we will not publish it </li></ul></ul>
  21. 23. Final Reminder <ul><li>Three year plans are due September 1 st . </li></ul>
  22. 24. Questions?
  23. 25. Open Discussion
  24. 26. Contact Information <ul><li>Bill Roth, CITA, 785-296-2108 </li></ul><ul><ul><li>[email_address] </li></ul></ul><ul><li>Bryan Dreiling, 785-296-2809 </li></ul><ul><ul><li>[email_address] </li></ul></ul><ul><li> </li></ul>