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CHAPTER 14

CHAPTER 14. Managing Technological Resources. THE DATA RESOURCE. DATA A MAJOR ORGANIZATIONAL RESOURCE MANAGE DATA & KNOWLEDGE AS STRATEGIC RESOURCE DATA ASSET ONLY IF AVAILABLE WHEN NEEDED RESPONSIBILITY OF EVERY USER-MANAGER *. KEY PRINCIPLES IN MANAGING DATA.

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CHAPTER 14

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  1. CHAPTER 14 Managing Technological Resources

  2. THE DATA RESOURCE • DATA A MAJOR ORGANIZATIONAL RESOURCE • MANAGE DATA & KNOWLEDGE AS STRATEGIC RESOURCE • DATA ASSET ONLY IF AVAILABLE WHEN NEEDED • RESPONSIBILITY OF EVERY USER-MANAGER *

  3. KEY PRINCIPLES IN MANAGING DATA 1. NEED TO MANAGE DATA IS PERMANENT 2. DATA MAY EXIST AT SEVERAL LEVELS 3. KEEP APPLICATION SOFTWARE SEPARATE FROM DATABASE *

  4. KEY PRINCIPLES IN MANAGING DATA 4. APPLICATION SOFTWARE CLASSIFIED AS TO HOW THEY TREAT DATA: Data capture, data transfer, data analysis & presentation 5. APPLICATION SOFTWARE CONSIDERED DISPOSABLE 6. DATA SHOULD BE CAPTURED ONCE 7. SET STRICT DATA STANDARDS *

  5. STRATEGIC DATABASES TRANSFER SYSTEMS ANALYSIS & PRESENTATION MANAGERIAL OPERATIONAL CAPTURE SYSTEMS TRANSACTION DATA DATA PYRAMID

  6. CATEGORIES OF INFORMATION PROCESSING • RAW DATA CAPTURED/RECEIVED • INSPECTED FOR QUALITY • DATA USED IN AUTHORIZED INFORMATION PRODUCT • DATA RETRIEVED WHEN NEEDED • OBSOLETE DATA REPLACED • SECURE & UNCONTAMINATED *

  7. TYPES OF DATA STANDARDS • IDENTIFIER:Unique value for each business entity • NAMING:Unique name or label for each type of data • DEFINITION:Unambiguous description for each type of data • INTEGRITY RULE:Specify legitimate values for a data type • USAGE RIGHTS:Security clearances for a data type *

  8. ASSET MANAGEMENT FUNCTIONS • PLAN • SOURCE • ACQUIRE & MAINTAIN • DEFINE/DESCRIBE & INVENTORY • ORGANIZE & MAKE ACCESSIBLE • CONTROL QUALITY & INTEGRITY *

  9. ASSET MANAGEMENT FUNCTIONS • PROTECT & SECURE • ACCOUNT FOR USE • RECOVER/RESTORE & UPGRADE • DETERMINE RETENTION & DISPOSAL • TRAIN & CONSULT FOR EFFECTIVE USE *

  10. NEW APPLICATIONS SYSTEMS OPERATIONAL STORE DATA WAREHOUSE LEGACY APPLICATIONS SYSTEMS STATISTICAL TOOLS OTHER TOOLS DATA CAPTURING & PROCESSING DATA CLEANSING; SECURITY ISSUES SINGLE ENTERPRISE DATA REPOSITORY; ORGANIZED FOR ANALYSIS DATA ANALYSIS & PRESENTATION DATA WAREHOUSE

  11. DATA OWNERSHIP • NEED TO PROTECT PERSONAL PRIVACY • NEED TO PROTECT TRADE SECRETS • REQUIREMENT TO ALLOW ONLY THOSE WITH ‘NEED TO KNOW’ ACCESS TO SENSITIVE MATERIAL *

  12. DATA OWNERSHIP • DESIRE TO PROMOTE INTERNAL COMPETITION, JUSTIFY USE OF SCARCE RESOURCES • DESIRE TO SHOW COMMITMENT TO DATA OWNERSHIP • DESIRE TO USE INFORMATION AS POWER FOR POLITICAL GAIN *

  13. TRANSBORDER DATA FLOWS ELECTRONIC DATA MOVEMENT ACROSS NATIONAL BOUNDARIES CONTROLLED BY LEGISLATION: • PREVENT ECONOMIC/CULTURAL IMPERIALISM • PROTECT DOMESTIC INDUSTRY • PROTECT INDIVIDUAL PRIVACY • FOSTER INTERNATIONAL TRADE *

  14. DATA ADMINISTRATION • PROMOTE & CONTROL DATA SHARING • ANALYZE IMPACT ON APPLICATIONS OF CHANGES IN DATA DEFINITIONS • MAINTAIN DATA DICTIONARY: Consistent encyclopedia of data names, definitions, uses *

  15. DATA ADMINISTRATION • REDUCE REDUNDANT DATA & PROCESSING • REDUCE SYSTEM MAINTENANCE COSTS, IMPROVE PRODUCTIVITY • IMPROVE QUALITY & SECURITY OF DATA • INSURE DATA INTEGRITY *

  16. DATABASE ADMINISTRATION (DBA) • TUNE DATABASE MANAGEMENT SYSTEMS • SELECT & EVALUATE DATABASE TRAINING • CONTROL PHYSICAL DATABASE DESIGN • DESIGN METHODS TO RECOVER FROM DATABASE DAMAGE *

  17. DATABASE ADMINISTRATION (DBA) • SUPERVISE PLACEMENT OF DATABASES ON COMPUTERS & STORAGE DEVICES • MANAGE INTERFACE OF DATABASES WITH TELECOMMUNICATIONS & OTHER TECHNOLOGY *

  18. DATA STEWARD • ESTABLISHES PROCEDURES GOVERNING DATA ELEMENTS • ESTABLISHES ACCESS AUTHORIZATION PROCEDURES • DETERMINES & EVALUATES MOST RELIABLE SOURCES OF DATA • MAKES DATA DICTIONARY UNDERSTANDABLE TO USERS • ENSURES THAT ONLY NEEDED VERSIONS OF EACH DATA ELEMENT EXIST *

  19. DATA STEWARD • ENSURES DATA USED IS MOST APPROPRIATE VERSION • ASSIGNS RESPONSIBILITIES FOR DATA INTEGRITY • RESOLVES CONFLICTS CONCERNING SHARABLE DATA • CONSULTS WITH USERS ON USE OF ELECTRONIC DATA *

  20. TOOLS FOR MANAGING DATA 1. DATA MODELING: • ENTERPRISE MODELING • VIEW INTEGRATION 2. DATABASE MANAGEMENT SYSTEMS: • RELATIONAL DBMS: Allows user to filter data with specific properties • STRUCTURED QUERY LANGUAGE 3. DATA DICTIONARY/DIRECTORY: A database about data, provides standard names, characteristics, uses *

  21. INFRASTRUCTURE MANAGEMENT ISSUES 1. LOCATION 2. THE WORKSTATION 3. SUPPORTING OPERATING SYSTEMS 4. REDUNDANCY 5. SUPPORTING COMMUNICATIONS PROTOCOLS *

  22. INFRASTRUCTURE MANAGEMENT ISSUES 6. BANDWIDTH 7. RESPONSE TIME ON NETWORK 8. SECURITY vs EASE OF ACCESS 9. BREADTH OF NETWORK ACCESS 10. ACCESS TO EXTERNAL DATA SERVICES *

  23. APPLICATIONS PORTFOLIO MANAGEMENT ISSUES 1. ASSUMED USER: Skills? Interfaces? Needed software? 2. APPLICATION LOCATION: Centralized shareable resource, or stand-alone? 3. PROCESS-DRIVEN OR DATA-DRIVEN DESIGN 4. EVALUATION CRITERIA FOR NEW APPLICATIONS SYSTEMS *

  24. ROLE OF USER-MANAGER 1. MAKE POSITION CLEAR ON CRITICAL INFRASTRUCTURAL MANAGEMENT ISSUES 2. TAKE ACTIVE ROLE IN DATA STEWARDSHIP 3. TAKE RESPONSIBILITY FOR FOLLOWING POLICIES 4. DEMAND QUALITY IS ASSET MANAGEMENT *

  25. CHAPTER 14 Managing Technological Resources

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