Information Resource Management Strategy and Direction

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Terence Holland
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1 Enterprise Application Steering Committee June 10, 2004 Information Resource Management Strategy and Direction Bradley W. Skiles Director, Information Resource Management IT Enterprise Applications Purdue University IT Enterprise Applications 1

2 Agenda 1. Goals 2. Guiding Principles 3. Planned Architecture 4. How to Get There IT Enterprise Applications 2

3 1. Goals He who aims at nothing is sure to hit it! Goal 1: Get the Right Data to the Right People at the Right Time Goal 2: Implement a Preeminent Information Architecture IT Enterprise Applications 3

4 2. Guiding Principles Information Quality 1. Data Definition Quality 2. Information Architecture Quality 3. Data Content Quality 4. Data Presentation Quality IT Enterprise Applications 4

5 2. Guiding Principles 1. Data Definition Quality Business rules Domain values Enterprise consistency Accuracy User satisfaction IT Enterprise Applications 5

6 2. Guiding Principles 2. Information Architecture Quality Stable Flexible Complete negating the need for duplication of data and shadow databases. IT Enterprise Applications 6

7 2. Guiding Principles 3. Data Content Quality Accurate Complete User Satisfaction IT Enterprise Applications 7

8 2. Guiding Principles 4. Data Presentation Quality Intuitive Available Robust Business processes can still fail even when data is accurate and complete! IT Enterprise Applications 8

9 2. Guiding Principles Enterprise Focus IT Enterprise Applications 9

10 3. Planned Architecture REPORTING & DECISION SUPPORT TOOLS Information Factory (Data Warehouse and Data Marts) Ancillary Applications Enterprise Resource Applications Financial Management Human Resource Management Student Services & Administration Dept App Dept App Dept App Dept App Dept App Dept App Dept App Dept App OPERATIONAL DATABASES ENTERPRISE INFORMATION TECHNOLOGY ARCHITECTURE IT Enterprise Applications 10

Management Student Services & Administration Dept App Dept App Dept App Dept App Dept App Dept App Dept

11 3. Planned Architecture IT Enterprise Applications 11

12 3. Planned Architecture ERP Bolt-Ons Other Data Quality Firewall Business Intelligence Student Finance HR Business Data Marts ERP ODS ETL University Advancement ERP Warehouse Non-ERP ODS Institutional Research Non-ERP Warehouse (OLAP, Managed Reporting, Portal, Dashboard, Metrics Management) Metadata IT Enterprise Applications 12

Advancement ERP Warehouse Non-ERP ODS Institutional Research Non-ERP Warehouse

13 ERP 4. How to Get There Bolt-Ons Other IT Enterprise Applications 13

14 ERP 4. How to Get There Bolt-Ons Other IT Enterprise Applications 14

15 ERP 4. How to Get There Bolt-Ons Other Data Preparation Planning and POC in Fall 2004 January 2005 Start Zachman, Rows 1 & 2 (Scope & Business Model) Zachman, Columns 1 & 2 (Data & Function) Staging, Profiling, Quality Assessment IT Enterprise Applications 15

16 ERP 4. How to Get There Bolt-Ons Other Data Prep Resource Requirements Task Technical Functional Staging Analysts (Legacy/ERP) n/a Profiling Analysts (ERP) Process Experts (1 FTE) QA Analysts (ERP) Data Experts (2 FTE) IT Enterprise Applications 16

17 4. How to Get There ETL ETL Extraction, Transformation, and Loading. Currently use Informatica Powermart. Future tool depends on ERP selection. Will likely use ETL tool provided by ERP vendor (PeopleSoft ships with Ascential s DataStage). IT Enterprise Applications 17

18 4. How to Get There Warehouse Data Warehousing Will use data warehouse provided by ERP vendor. Data warehouse will be relational and used for datamining purposes. Will create second data warehouse during post-erp for non-erp applications Current warehouse functionality will be frozen December 31, 2004 (except for non-elective changes and work already in progress). Data will continue to be refreshed. Current warehouse will be retired after the ERP is implemented. IT Enterprise Applications 18

Will create second data warehouse during post-erp for non-erp applications Current warehouse functionality will be frozen

19 4. How to Get There ODS Operational Data Store Will use ODS provided by ERP vendor. Will create second ODS during post-erp for non-erp applications. ODS will be used for supplemental operational reporting. ODS will contain only current data. IT Enterprise Applications 19

Will create second ODS during post-erp for non-erp applications.

20 4. How to Get There Business Data Marts Student Finance HR Data Marts Some provided by ERP vendor; others will be created. Design and function is similar to current DSS system. Optimized/Denormalized for reporting performance. Architecture tailored to meet specific businessarea needs. IT Enterprise Applications 20

Design and function is similar to current DSS system.

21 4. How to Get ThereBusiness Intelligence BI Technology Aiming for preeminence in data presentation quality! Abandoning Brio Query client tool. Evaluation of vendor finalists is complete (Cognos, Hyperion) recommendation due by the end of June Requirements: Zero Client, OLAP, Dashboard, Managed Reporting, Portal, Metrics Management, Report Customization Implementation is scheduled to begin August Reporting tool will require central administration. Staff will have 12 months of experience before the ERP project even starts. IT Enterprise Applications 21

22 4. How to Get There Business Intelligence BI Implementation Resource Requirements Technical Functional Project Manager Data Stewards Information Analysts Business Query Experts (1 FTE) Functional areas will need to: Validate old reports against information provided by new tool. Assist with report consolidation and identification of unneeded reports. Create metadata. Assist with assessment and handling of data-quality issues. IT Enterprise Applications 22

23 4. How to Get There Organization Business Intelligence Business Intelligence Competency Center Business Knowledge Data Steward Business Analyst BICC Business Intelligence Advisory Committee (BIAC) IT Skills Project Manager ETL Information Analyst Data Architect Data Miner DBA Query Specialist Analytical Skills IT Enterprise Applications 23

24 4. How to Get There Metadata Metadata ( Data about data ) Includes business and technical metadata. Assists users in accessing their data. Provides for consistent interpretation of data. Allows impact analyses. Business metadata is available via the Web. IT Enterprise Applications 24

25 4. How to Get There Data Quality Firewall Data Quality Benchmarks Automated checks Confidence factor Third-party software Implemented with ERP The best place to address data quality is at the source, but that doesn t always work! IT Enterprise Applications 25

26 Questions? Comments? Quality is free What costs money are the unquality things all the actions that involve not doing jobs right the first time. Philip Crosby IT Enterprise Applications 26

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