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Research Survey

Research Survey


Research Topic: A framework for the governance of outsourced data-warehouse projects.



My name is Priyam Shah and I am conducting a research project with Mr. Peter O’Donnell, a lecturer at Caulfield School of Information Technology, Monash University. I am doing this research towards achieving Masters by Research degree in Information Management and Systems.


This research aims to evaluate the issues involved in the governance & outsourcing of the data warehouse projects and intends to come up with a governance framework that can facilitate effective outsourcing practice of the data warehouse projects.


Data warehouses are a high risk/high return propositions and this magnitude increases many folds in case of outsourced projects. One of the major reasons for the lack of interest in the outsourcing of data warehouse-business intelligence projects is the in-ability of the organizations to employ effective governance practices.


You are invited to participate in this survey. The survey consists of four sections namely: demographic information, organizational data-warehouse information, organizational data warehouse governance practice, and organizational data warehouse outsourcing practice. It will take approximately 15 minutes to complete the survey.


Your participation in this study is completely voluntary. You may opt not to answer any question and withdraw from the survey at any point. It is very important for us to learn your opinions.


Your survey responses will be stricly confidential and data from this research will be reported only in the aggregate. If you have questions at any time about the survey or the procedures, you may contact me on my mobile at 0411338986 or by email at [email protected].


Thank you very much for your time and support. Please start with the survey now by clicking on the Continue button below.



Section 1: Demographic Information
1. Title
2. Name
3. Email Address
4a. Contact Number (B/H):
4b. Contact Number (A/H):
5. Name of the Organization
6. Industry
7. Position
8a. Work Experience (in current position):
8b. Total Work Experience:
9. Size of the Organization
10. Organization's Operational Area
11. Organization's Annual Revenue (in AUD)

Section 2: Organizational Data Warehouse
12. What type of data warehouse system has been implemented or being implemented at your organization?
13. What is your best estimate of the current size of the data warehouse at your organization (in GB)?
14. How many people at your organization have access to a data warehouse?
15. What time did it approximately took or will take to develop a data warehouse system at your organization?
16. How long has your company implemeted a data warehouse system?
17. What is your best estimate of the development cost of a data warehouse at your organization (in AUD million)?

Section 3: Data Warehouse Governance (Based on Peter Weill's and Jeanne Ross's framework of IT Governance)
18. Does your organization have any IT governance policy in place?
19.Does your organization have separate data warehouse governance policy in place?
20. What is your organization looking to achieve with its current IT governance policy?

For answering the question below, assume that data warehouse project is divided into six major decision areas namely:



-Business Analysis and Requirement Collection


-Data Modelling & Architecture


-Front-End application & ETL Tool Selection


-Infrastructure (Hardware, Web Servers, Database Servers)


-Investment & Prioritization


-Maintanance & End-User Support




Also assume that there are six major organizational political archetypes (different type of organizational setups for decision making):



-Business Monarchy: Top Level Corporate Management (CEO, CFO, CIO, COO etc)


-IT Monarchy: Top level Corporate IT executives (CIO, IT Managers from different business units)


-Federal: Business units in association with IT or top level corporate management


-IT Duopoly: IT people in association with top level corporate management


-Feudal: Independent Business Units


-Anarchy: Small group of people or individual decision making


21. How would you best describe your organization's governance framework keeping in mind each of the below data warehouse decision areas and organizational political archetypes? (Tick the relevant combinations)

Business Monarchy  
IT Monarchy  
Federal  
Duopoly  
Feudal  
Anarchy
Business Analysis & Requirement Collection
Data Modelling & Architecture
Infrastructure
Front-End Applications & ETL Tool Selection
Investment & Prioritization
Maintanance & End-User Support
22. What sort of decision making structures does your organization employ for making key data warehouse decisions. Examples of decision making structures include executive or senior management committee, IT leadership committee, process teams with IT members, Business/IT leadership managers and so on. Comment
23. What sort of approaches does your organization employ to align overall business goals to data warehouse policies. Examples include Service level agreements, Chargeback arrangements, Formal tracking of data warehouse project and so on. Comment
24. What sort of communication approaches are used by you organization to spread data warehouse governance principles to amployees. Examples include educating the mangers, senior management announcements, office of CIO, web-based portals and intranet. Comment
25. How does your organization measure the success of a data warehouse project?

Section 4: Data Warehouse Outsourcing
26. Did your organization outsource or is planning to outsource any part of the data warehouse project?
27. What approach do you think is best for outsourcing data warehouse activities?
28. Rank each of the following data warehouse item in terms of its suitability for being outsourced.(1-Highly Suitable, 5-Highly Unsuitable)

Business Requirement Analysis
ETL Process
Front-End application Development
Data Modelling & Architecture Design
Maintanance & End-User Support
29. How do you rate your organizations technical maturity?
30. What, according to you, are the key factors behind outsourcing of data warehouse project?
31. Rank following outsourcing problems in order of their severity. (1-Most Severe, 5-Least Severe)

Socio-Cultural Differences
Project Management Issues
Governance Issues
Privacy & Security Issues
Quality Issues
32. Do you think that an appropriate data warehouse governance framework can facilitate better outsourcing practice? Data warehouse governance framework includes three key areas namely: What decisions are made, Who makes those decisions, and How are those decisions implemented and monitered. Comment

Section 5: Comments & Consent for Follow-up Interview
33. Please feel free to comment on any issue related to data warehouse governance & outsourcing that you feel is critical in the context of this research.
34. Would you like to participate in a follow-up interview for this research?

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