The document discusses the concept of information logistics (IL), which takes a managerial view of cross-unit data flows and synergies. It notes that while data warehousing and business intelligence focus on local utilization, IL focuses on exploiting synergies across units. IL aims to supply the right information with appropriate quality to cover all relevant demand. The document outlines challenges in IL operations management after 20 years of research and discusses the importance of quality management for IL.

1. Enterprise-wide Information Logistics – A Different Managerial View on Data, Information and Synergies Prof. Dr. Robert Winter Institute of Information Management University of St. Gallen [email_address] www.iwi.unisg.ch

2. Enterprise-wide Information Logistics © 06/06/09 IWI-HSG, Robert Winter Slide What is “information logistics”? Why another term? 1 The role of quality for information logistics management 3 What's in it for me? 4 After 20 years of research in data warehousing and business intelligence, what are the biggest managerial challenges? 2

3. Enterprise-wide Information Logistics The role of quality for information logistics management 3 What's in it for me? 4 After 20 years of research in data warehousing and business intelligence, what are the biggest managerial challenges? 2 © 06/06/09 IWI-HSG, Robert Winter Slide What is “information logistics”? Why another term? 1

4. Information Logistics: Planning, Implementation and Control of Cross-unit Data Flows Data flows relevant for information logistics © 06/06/09 IWI-HSG, Robert Winter Slide adapted from [Dinter / Winter 2008] Business Unit A Business Unit B Company A Company B Department A Depart- ment B Job A Job B

6. The Value Proposition of Information Logistics “ Supply the right information with appropriate quality (e.g. timeliness, correctness) to cover all relevant information demand which are based on data originating from other units” Customer orientation Quality orientation Business orientation © 06/06/09 IWI-HSG, Robert Winter Slide

7. Information Logistics vs. Existing Concepts © 06/06/09 IWI-HSG, Robert Winter Slide Local & Cross-unit & Short Term Long Term Perspective Perspective Managerial Focus Technical Focus Information Logistics Data Warehousing Business Intelligence

10. Enterprise-wide Information Logistics What is “information logistics”? Why another term? 1 The role of quality for information logistics management 3 What's in it for me? 4 After 20 years of research in data warehousing and business intelligence, what are the biggest managerial challenges? 2 © 06/06/09 IWI-HSG, Robert Winter Slide

12. IL Development: Project by Project vs. IL Operations: Integrated Project 1 Project 2 Project 3 Project n IL Operations © 06/06/09 IWI-HSG, Robert Winter Slide

14. IL Operations Mgt Building Blocks IL Goals IL Products IL Reference Processes IL Service Models IL Costs and Pricing IL Reference Architectures © 06/06/09 IWI-HSG, Robert Winter Slide

15. The IL Value Proposition is the Basis for Its Organizational Setup “ Supply the right information with appropriate quality (e.g. timeliness, correctness) to cover all relevant information demand which are based on data originating from other units” Requirements management Information quality mgt Service management © 06/06/09 IWI-HSG, Robert Winter Slide

16. IL Products [Klesse / Herrmann 2004] adapted from [Zarnekow, Brenner 2003] Poor Business Orientation Good Low Complexity for service provider High High Complexity for service consumer (Business) Low © 06/06/09 IWI-HSG, Robert Winter Slide Level 1 IL Product = IT Resource E.g.: 1 MIPS 1 DB-Server 1 GB for 1 month 1 Person day Level 2 IL Product = IT Solution E.g.: Development,opera- tions and support of a data mart application for campaign mgt Level 3 IL Product = IT Process Support E.g.: Direct support of campaign planning or campaign execution (generation of leads, priced per lead)

17. IL Reference Processes © 06/06/09 IWI-HSG, Robert Winter Slide adapted from [Klesse / Winter 2007] Use IL Conducting standard reporting Conducting special analyses Conducting information-intensive business processes IL Applications IL Integration Infrastructure IL Platform (Hardware, DBMS, etc.) Change IL Development of IL Applications Development of IL Integration Infrastructure Development/ configuration of IL Platform Run IL Operations of IL Applications Operations of IL Integration Infrastructure Operations of IL Platform Legend: Component Process Component-specific process Support of IL Applications Support of IL Integration Infrastructure Support of IL Platform

18. IL Service Models © 06/06/09 IWI-HSG, Robert Winter Slide adapted from [Klesse / Winter 2007] Full Service Provider 50% 60% 70% Business Service Provider IL Utilization IL Information System IL Platform 60% 40% 20% IL Competence Center 30% 40% 30% IL Platform Provider 30% 50% 60% Vertical Integration of IL Business Integration of Service Provider IL Utilization IL Information System IL Platform IL Utilization IL Information System IL Platform IL Utilization IL Information System IL Platform

19. Enterprise-wide Information Logistics What is “information logistics”? Why another term? 1 What's in it for me? 4 After 20 years of research in data warehousing and business intelligence, what are the biggest managerial challenges? 2 © 06/06/09 IWI-HSG, Robert Winter Slide The role of quality for information logistics management 3

20. Once again: IL Goals “ Supply the right information with appropriate quality (e.g. timeliness, correctness) to cover all relevant information demand which are based on data originating from other units” Requirements management Information quality mgt Service management © 06.06.09 IWI-HSG, Robert Winter Slide

21. IS Quality in General User Easy to Use Adequancy Easy to Learn (User) Documentation Robustness Efficiency Easy to Integrate Reliability Correctness Availability (Developer) Documentation Portability Easy to Maintain Easy to Reuse Corporate Sponsor Software Developer © 06.06.09 IWI-HSG, Robert Winter Slide

22. Data Accuracy in Particular Source: Jack E. Olson, Data Quality The Accuracy Dimension © 06.06.09 IWI-HSG, Robert Winter Slide Valid data Invalid data Missing data Correct data Incorrect data Correct representation 12052005  Dec?May? Incorrect Representation 05122005  Dec?May? Accurate Data Inaccurate data

23. Problems due to Poor Data Quality © 06.06.09 IWI-HSG, Robert Winter Slide

25. Framework „Corporate Data Quality“ Source: CC CDQ, Univ. of St. Gallen, http://cdqm.org © 06.06.09 IWI-HSG, Robert Winter Slide Strategy (“what?”) CDQ Strategy Organization (“how?”) Coordination and Control CDQ Orga&Governance CDQ Processes and Methods IS (“by what means?”) CDQ Software Systems Information Architecture for CDQ local global

26. The Data Quality Management Challenge: There are Always Trade-offs to Consider… Quality Speed Output (volume, capacity, service) Costs Assumption: Development capabilties are a constant © 06.06.09 IWI-HSG, Robert Winter Slide + - + - - + - +

28. Enterprise-wide Information Logistics What is “information logistics”? Why another term? 1 The role of quality for information logistics management 3 After 20 years of research in data warehousing and business intelligence, what are the biggest managerial challenges? 2 © 06/06/09 IWI-HSG, Robert Winter Slide What's in it from the user perspective? 4

29. „ The Whole is more than the Sum of its Parts“ Infrastructure View Business Unit B Business Unit A Transformation Project Portfolio © 06.06.09 IWI-HSG, Robert Winter Slide

33. Q&A… © 06.06.09 IWI-HSG, Robert Winter Slide Prof. Dr. Robert Winter [email_address] www.iwi.unisg.ch +41 71 224 2190