Study level

PhD

Master of Philosophy

Honours

Vacation research experience scheme

Faculty/School

Faculty of Science

School of Information Systems

Topic status

We're looking for students to study this topic.

Supervisors

Dr Kanika Goel
Position
Associate Lecturer
Division / Faculty
Faculty of Science

Overview

Data is the new asset for organisations. Due to technological developments, organisations are faced with insurmountable amount of data. Analysis of this data provides endless transformative opportunities and contributes to the organisation's strategic decision making. However, the challenge is to derive maximum value from data.

Data governance refers to a collection of practices and processes that enables an organisation to manage its internal and external data. Data governance assists in formulation of a corporate wide program that assists in making data fit for purpose.

Managing data is equally important for process mining, a specialised form of data-driven process analytics, which focusses on analysing behaviour of processes from event logs. This project will look at understanding data governance requirements for process mining.

Research activities

This project will involve:

  • a literature review to understand data governance considerations for process mining
  • analysing event logs to understand data governance considerations for process mining
  • identifying principles underlying data governance for process mining.

Outcomes

Potential outcomes include an understanding of:

  • key requirements that an organisation needs to have in place to govern data for process mining
  • how organisations can assess the data governance maturity for process mining.

Skills and experience

Some prior experience with process mining.

Scholarships

You may be eligible to apply for a research scholarship.

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Keywords

Contact

Contact the supervisor for more information.