Many organizations struggle to bridge the gap between "Business" and "IT", especially when dealing with the vast amount of process data generated every day. However, with Process Mining technologies and our Rapid Process Improvement approach, you can turn this data into actionable insights and pitch your findings to the business.

    You don't need prior data science experience to learn how to analyze your process data and monitor key performance indicators (KPIs). With our comprehensive training program, you'll learn about Process Mining concepts, including widgets, graphs, and analytical techniques. You'll also gain hands-on experience working with real business process data and identifying bottlenecks.

    Using a specialist tool, you'll learn how to create deep-dive investigations and generate fact-based insights to support your process improvement initiatives. You'll also develop advanced skills such as collaboration and creating a comprehensive business case for your proposals.

    By the end of the training, you'll have the knowledge and skills to analyze your process data, monitor KPIs, and generate actionable insights without requiring any prior data science experience. With these insights, you'll be able to pitch your findings to the business and drive process improvements that deliver tangible benefits for your organization. 

    The intended audience for this training is anyone looking to develop or advance their process mining skills, in line with the growing interest in the field. This course caters to all skill levels; no previous experience is required. If you are an experienced IT professional wanting to understand technical aspects of process mining and data set up requirements, an advanced technical course focusing on data science concepts pertaining to process mining is available.  


    Course Outline

    1. Process Mining Overview
    2. Rapid Process Improvement Approach
    3. Overview on Process Investigation Data & Setup
    4. Widgets, Graphs and Analytical Techniques
    5. Adding Filters and Thresholds for Root Cause Analysis
    6. Collaboration through Process Mining
    7. How to Create a Business Case

    Learning Outcomes

    • Gain a realistic view of your processes by understanding process visualization through discovery and conformance checking.
    • Learn how to create and interpret widgets, graphs, and analytical techniques to monitor key performance indicators (KPIs).
    • Apply advanced filters, thresholds, and widget types to perform root cause analysis and identify process bottlenecks.
    • Understand the Rapid Process Improvement Approach to Process Mining, including how to use process data to drive process improvements.
    • Develop a clear understanding of the data requirements for effective process mining and analysis.
    • Build a comprehensive business case that articulates the benefits of process improvements and justifies investment in process mining initiatives.
    • Collaborate your findings to the wider business


    Your Scheer Americas Team – The Process Experts

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