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Organisation-wide process mining

Organisations continuously look for opportunities to improve or optimise their business processes.Process mining aids organisations to derive insights from event data stored in event logs, using advanced techniques that:discover process modelsverify conformance with rules and regulationsshow the performance of processes.As process improvement projects are involved and expensive, typically organisations select a few processes to optimise, using process identification.Ironically, process identification is a manual task, where KPIs are chosen. Based on these KPIs, a process is selected for improvement.In this project, …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Innovation in process mining

Organisations store large amounts of data where every step is logged in information systems and available for analysts to reveal the hidden behaviour and performance of the business process. This can range from requests being handled within a government body, claims by an insurance company or orders from an online store. Process mining aims to derive information from this recorded historical organisational data. For instance, business analysts use process mining software to visualise logs and derive information and insights for …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Understanding the mechanisms of improving log quality in different process mining tools

Process mining is a specialised form of data-driven process analytics where process data is analysed to uncover the real behaviour and performance of business operations. This data is usually collated from the different IT systems typically available in organisations.For the data and process analysis to be accurate, the accuracy of data is crucial. This identifies the significance of the quality of logs supplied for analysis.It's the responsibility of the process analyst to identify, assess and remedy the data to reduce …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Combining process mining with data mining

Process mining aims to obtain insights on business processes from event logs, using algorithms to:automatically discover modelscheck certain rules and regulationsproject performance on process models.Process mining techniques typically only deal with the control flow: that is, which process steps are being executed for a particular case and in what order.Our industry partners are often interested in, and pose questions on, the interplay between process and data. These questions include:Do gold customers get a different treatment than silver customers?Are there behavioural …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Preventing data quality problems in process mining

Process mining is an established approach to analysis of processes based on data found in event logs.Given its use of event data as a starting point, recommendations for business process improvement are evidence-based. As such, there's an increased interest in process mining, both in academia and in industry.Process mining results heavily depend on the quality of event log data. As the saying goes: garbage in, garbage out.While approaches exists that try and repair problematic data, this project will focus on …

Study level
PhD
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Stochastic process mining

Process mining aims to derive information from historical behaviour of processes in organisations through event logs. Business analysts use process mining software to visualise logs and derive information and insights for managers. Ultimately, this information is used to improve processes, which can optimise costs, time and/or the environment. Process mining is an exciting field with lots of opportunity for research and with many successful commercial solutions being offered.Business process models describe what can happen in a process. That is, the …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Privacy-preserving process analytics

Modern organisations consider data to be their lifeblood. While the importance of data science and the potential benefits of data analytics are widely acknowledged, many people have grave concerns about irresponsible use of their data.Negative publicity surrounding large collections of personal data (including location, videos, pictures and emails) by corporations such as Google and Facebook and subsequent breaches have resulted in people losing trust in, and becoming more suspicious about, how their personal data is being used.Process mining is a …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Organisational analytics via mining event log data from enterprise systems

Enterprise systems are modern information systems in today’s organisations. They record large amounts of event log data, capturing the execution of day-to-day business processes within and across organisations.Mining event log data to drive process analytics and knowledge discovery is known as process mining. To date, various process mining techniques have been developed to help extract insights about the actual business processes with the ultimate goal of improving process performance as well as the organisations' business performance.As an important sub-field of …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Guided process analytics for actionable improvement recommendations

Process analytics, often known as process mining, mainly involves data-driven analysis of business processes using the large amount of event log data captured by information systems in organisations.Various analytical techniques help extract insights about the actual business processes with the ultimate goal of process improvement.Within a broad domain of data analytics, process analytics is faced with a main challenge of information overloading. In the ‘big data’ era we often encounter with the problem that there is too much data to …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

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