Process Mining Advanced Technical Training

Process Mining Advanced Technical Training

Overview

Process mining is a powerful tool for driving operational excellence but, in order to deliver effective transformation, you must have accurate, relevant, and recent data.

Through this training, you will explore creating and customising connectors to automatically extract and upload data from your source systems. Then, you will delve into data validation; how you should work with the business to ensure the figures you generate are accurate representations of what is happening in the business and, if not, correcting through connector adjustment. Finally, you will learn how to setup automatic delta refreshes to ensure your process mining platform is kept evergreen.

From finding the right data sources, to mapping and merging across tables, systems and investigations, this course will ensure you have the technical foundation required for successful process mining.

Course
Outline

  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

Audience

Anyone looking to develop their data science skills to include process mining, in line with the growing interest in the field. This course caters to data scientists and IT teams who want to independently operate a process mining platform.

The pre-requisites for this course is that attendees must have at least a foundational understanding of Python and SQL. It is highly recommended that you also attend the beginner process mining course – Process Mining: Delivering Improvement

Contact us for booking

Email us: academy@bpm-d.com
Phone (UK): +44 (0)204-511-5555
Phone (US): +1-484-557-6794

Process Simulation

Process Simulation

Overview

Implementing a process revision carries significant risk. From major IT implementations to revised operational procedures, every transformation carries a degree of uncertainty.

Process simulation presents an opportunity for risk mitigation, complemented by optimisation functionalities. By modelling the new process in detail, recording key data points, businesses can easily identify bottlenecks, spot failure points, and optimally assign resource.

Our approach encompasses both the technical aspect of deploying simulation and the managerial approach required for defining the optimal usage scenarios for simulation, such that you can derive maximum value from simulation endeavours.

Course
Outline

  1. Process Simulation Overview
  2. Simulation Usage Scenarios
  3. Information Required for Simulation
  4. Integration with Process Assets
  5. Building Implementation Scenarios
  6. Scenario Optimisation & Execution
  7. Anomalies & Bottleneck Analysis
  8. Process Redesign

Learning
Outcomes

  1. Understanding of simulation capabilities & value
  2. Identify when to deploy simulation
  3. Integrate simulation information with existing process assets
  4. Build simulation ready process models
  5. Simulate processes, identify issues
  6. Optimise processes per the simulation results
  7. Apply simulation in practical business situations

Audience

Analysts & process architects looking to develop practical simulation capabilities. BPM managers exploring when to deploy simulation.

Tool specific training can be provided for private workshops; such workshops would incur a customisation cost.

Contact us for booking

Email us: academy@bpm-d.com
Phone (UK): +44 (0)204-511-5555
Phone (US): +1-484-557-6794