1. Pekka Nurminen (k90673) MSc thesis Research Plan

2. Motivation & Research Problem MOTIVATION The amount of data is growing rapidly in the modern society. The enterprises face more and more pressure to manage the data so that it creates value. This also calls for more effective data quality management. The effective data quality management can only be ensured with effective set of controls which are studied in this thesis. RESEARCH PROBLEM The research problem of this thesis is to construct a theoretical control framework for the existing theoretical Corporate Data Quality (CDQ) Management framework by using existing control frameworks such as COBIT 5 and ITIL. The aim is to research how CDQ Framework should be controlled and what are the most optimal controls. 11/5/2015 2 M.Sc. Thesis Presentation

3. Research Questions How can corporate data quality be ensured with controls? What is the theoretical set of controls that ensures the appropriate level of CDQ? 3

4. Motivation & Research Problem 11/5/2015 4 M.Sc. Thesis Presentation CDQ FRAMEWORK CDQ CONTROL FRAMEWORK

5. Theory / literature used There is a lot of material written on Data Quality Management and different frameworks and they are often carried out as theoretical studies. Various academic, expert, and corporate institutions have produced material on control frameworks like COBIT 5 and ITIL. No studies that would combine these two into data quality management control framework which is what I aim to do in this research. 11/5/2015 5 M.Sc. Thesis Presentation

6. Aims of this study Map out the current framework of corporate data quality management and its current trends and future development Map out the relevant control objectives and guidelines in large frameworks, find development points of them and compare them to corporate data quality management framework Construct a theoretical data quality management control set 11/5/2015 6 M.Sc. Thesis Presentation

7. Methods & Data Research methods is systematic literature review and interviews Considerable amount of literature Interviews from experts 11/5/2015 7 M.Sc. Thesis Presentation

8. Structure Introduction Motivation Objective Structure Literature Review Data Quality management Defining relevant concepts Defining the existing theoretical framework IT Compliance Defining relevant concepts IT Controls Defining relevant concepts COBIT 5 Defining relevant concepts ITIL Defining relevant concepts Interviews 11/5/2015 8 M.Sc. Thesis Presentation

9. Structure Findings and Analysis Analysis on the issues in Data Quality Management What are the major current issues? Future? Analysis on relevant COBIT 5 controls What is there? How are the data quality management challenges answered? What is missing? Analysis on the relevant ITIL part What is there? How are the data quality management challenges answered? What is missing? Construction of a theoretical control set Model Strengths Weaknesses ---> Possible further research points Conclusion Sources 11/5/2015 9 M.Sc. Thesis Presentation

10. Schedule NOVEMBER – DECEMBER 2015Finish Introduction, Methodology and Literature Review JANUARY – MAY 2016Finish Interviews Analysis and Conclusion MAY 2016Return the thesis and graduate 11/5/2015 10 M.Sc. Thesis Presentation