How to improve business process performance using process mining

Due to the increased use of information systems by organizations to support process execution, detailed information on the implementation of business processes is being recorded. This fact enables using process mining projects as a powerful tool for improving performance. Process Mining is a relative young research discipline that sits between data science on the one hand and process modelling and analysis on the other hand. Process mining allows gaining knowledge of the organization’s actual business processes by extracting data from existing information systems mediums such as event logs, transaction logs etc. The purpose of this presentation is to demonstrate how a process for conducting process mining projects was designed, developed and applied in some organizational units. The process was implemented through nine research steps, inspired by the V-model, where elements on the right-hand side aim to answer questions presented in steps on the left-hand side. In the first two steps, the research problem and the research objectives were defined. A literature review was performed in step 3. In the fourth step, requirements for the process were identified and implemented. In step 5, a running example was carried out to test the process. Verification and validation of the process were performed in step 6 and step 7. Step 8 covered the discussion of results. The last step concludes the research, including checking if the research problem was solved. Organizations seeking for performance improvement can now benefit of a process that explicitly states which process mining tools, techniques and algorithms to be used in process mining projects

Comprehensive learning incorporating Ako – a tertiary education approach at Wintec

This article outlines the design and implementation of a scenario-based approach to teaching and learning in tertiary education, inspired from Ako, adopted at the Waikato Institute of Technology (Wintec). This learning approach, titled ‘Comprehensive Learning (CL)’, aligns with the holistic objective of enabling students with an active, flexible, personalised, authentic and practical approach to learning that builds upon students’ interests and experiences. The article explains the motivation and the process used in creating and applying this approach to teach some of the IT and Business modules. The main reason to implement this approach is to encourage/enable critical thinking while learning in a continuous and personalised manner. CL allows students to specialize in a context of their choice, which in turn induces learning. In addition, students are less motivated to plagiarize due to the unique nature of their scenarios, and inherent safeguards present within the approach

Comprehensive learning incorporating Ako: A tertiary education approach at Wintec

This article outlines the design and implementation of a scenario-based approach to teaching and learning in tertiary education, inspired from Ako, adopted at the Waikato Institute of Technology (Wintec). This learning approach, titled ‘Comprehensive Learning (CL)’, aligns with the holistic objective of enabling students with an active, flexible, personalised, authentic and practical approach to learning that builds upon students’ interests and experiences. The article explains the motivation and the process used in creating and applying this approach to teach some of the IT and Business modules. The main reason to implement this approach is to encourage/enable critical thinking while learning in a continuous and personalised manner. CL allows students to specialize in a context of their choice, which in turn induces learning. In addition, students are less motivated to plagiarize due to the unique nature of their scenarios, and inherent safeguards present within the approach

Comprehensive learning incorporating Ako: A tertiary education approach at Wintec

This article outlines the design and implementation of a scenario-based approach to teaching and learning in tertiary education, inspired from Ako, adopted at the Waikato Institute of Technology (Wintec). This learning approach, titled ‘Comprehensive Learning (CL)’, aligns with the holistic objective of enabling students with an active, flexible, personalised, authentic and practical approach to learning that builds upon students’ interests and experiences. The article explains the motivation and the process used in creating and applying this approach to teach some of the IT and Business modules. The main reason to implement this approach is to encourage/enable critical thinking while learning in a continuous and personalised manner. CL allows students to specialize in a context of their choice, which in turn induces learning. In addition, students are less motivated to plagiarize due to the unique nature of their scenarios, and inherent safeguards present within the approach

What is Lean Six Sigma and how it may improve your business performance

In this workshop, we will explore DMAIC, the five phases of Lean Six Sigma, in a way that you will understand how to select a problem (or opportunity), identify the actual cause(s) of the problem, implement actions to eliminate the cause(s) and so, to improve your business performance

Using data science tools and techniques for creating and maintaining a passive investment portfolio

In this workshop, we will explore how data science tools and techniques can be used to build and maintain an ETF-based investment portfolio. You will also understand what are exchange traded funds (ETFs) and what is a passive investment portfolio. Data science techniques such as confidence intervals play an important role when comparing and selecting ETFs that are statistically capable to perform according to the investor's expected returns. Data Science tools also help to track and periodically rebalance the portfolio

Process mining: a special type of data mining to discover, check and improve your business processes

In this workshop, we will discuss how Process Mining, a novel Data Science technique, could be used to discover, in a matter of seconds (if you have data), the actual processes your organisation is performing. Also, we will cover how to identify bottlenecks and deviations from the expected processes

SITProMP: A simplistic approach towards managing IT projects

Simplistic IT Project Management Practice (SITProMP) is a generic framework towards IT Project Management or ITPM. ITPM is somewhat different than Project Management in other fields. There exists several principles, methodologies and approaches for managing projects. SITProMP considers existing approaches towards PM and presents a simplistic principle-based framework for ITPM. SITProMP offers agility and proposes to manage IT projects through any suitable methodology, tools or approaches towards PM that may fit in. SITProMP complements all existing approaches and principles for ITPM; and can encapsulate all existing tools and technologies for ITPM. Though primary focus of SITProMP is on IT projects, it can be adapted to projects in any other fields, and thus customizable. The foundation for SITProMP is the existing knowledge bases in PM

A modern paradigm for cloud computing adoption that brings into account the deployment organization's main concerns

Over the past few decades, organizations have increasingly showcased a tendency to switch to digital solutions to make their operations more effective. Among them, Cloud computing has been considered as one of the best and easiest choices, especially for manufacturing companies with multiple geo-locations. This article has explored all the available variables before moving on to applying the modern IS technology such as cloud computing, using a qualitative model of study. The findings of this study is an outcome of the semi-structured interviews with the officials of an individual organization. Through this study, we have discovered that the key factors playing a major role in cloud services adoption are: provider activities and external computing support, top management support, competitive benefit, financial commitments, usability, capacity, previous expertise, trialability and complexity. The proposed adoption framework classifies the adoption pathway into three sections. Firstly, it outlined the selection of the cloud delivery model. Secondly, the framework addressing the processes in the preparation stage along with its responsible authority. Finally, it categorizes the implementation stage processes and its authority

Using Process Mining - a special type of data mining - to improve process performance

This presentation addresses a process that was designed and implemented aiming to apply Process Mining tools and techniques in projects aimed to improve process performance. The intent is to help you: - Understand Process Mining (PM); - Understand how organizations could apply Process Mining tools and techniques in order to conduct project aimed to improve process performance