1. Pertemuan 10 Cara mengelola Sumber Daya Teknologi secara baik Matakuliah: H0402/PENGELOLAAN SISTEM KOMPUTER Tahun: 2005 Versi: 1/0

2. Learning Outcomes Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu : Menunjukkan cara mengelola Sumber Daya Teknologi pada dunia nyata.

3. Outline Materi Data Resource Key Principles In Managing Data Categories of Information Processing Asset Management Functions Data Ownership Data Administration Tools for Managing Data Infrastructure Management

4. 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 *

5. 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 *

6. 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 *

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

8. 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 *

9. 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 *

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

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

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

13. 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 *

14. 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 *

15. 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 *

16. 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 *

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

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

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

20. 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 *

21. 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 *

22. 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 *

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

24. 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 *

25. 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 *

26. 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 *

27. DATA RESOURCE KEY PRINCIPLES IN MANAGING DATA TYPES OF DATA STANDARDS ASSET MANAGEMENT FUNCTIONS DATA WAREHOUSE DATA OWNERSHIP DATA ADMINISTRATION DATA STEWARD Sumber Daya Teknologi