About This Course

    Process mining is a potent tool for achieving operational excellence, but it requires accurate, relevant, and current data to drive effective transformation.

    This training program will teach you how to create and personalize connectors that can automatically extract and upload data from your source systems. You will also learn about data validation, including how to collaborate with business units to ensure that the figures you generate accurately represent the current state of the business. In case of discrepancies, you will learn how to correct them through connector adjustment. Finally, the course will guide you through setting up automatic delta refreshes to ensure that your process mining platform is always up-to-date.

    Whether it's identifying the right data sources, mapping and merging data across tables, systems, and investigations, or learning the technical foundations of successful process mining, this course provides a comprehensive training program to equip you with the necessary skills. The intended audience for this training is anyone looking to develop their data science skills, including process mining, and for anyone looking to become more align of real-world applications this growing field. This course caters to data scientists and IT teams who want to independently operate a process mining platform. 

    A prerequisite of this course is foundational knowledge of Python and SQL. It is highly recommended that you also attend the beginning process mining course.  


    Course Overview

    1. KPI Data Mapping
    2. Process Mining Connector Setup
    3. Integration between Multiple Systems
    4. KPI/Attribute Setup
    5. Data Validation with Business Owners
    6. Data Deployments (including Delta Refreshes)

    Learning Outcomes

    1. Define the data tables and fields you need to deliver process mining KPIs.
    2. Retrieve data from API or SQL Server based systems.
    3. Create and customise process mining connectors.
    4. Merge data from multiple systems.
    5. Manage and make data change requests.
    6. Transform raw data into data visualisations to generate meaningful insights.
    7. Setup automatic data refreshes.

    Your Scheer Americas Team – The Process Experts

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