Suruchi Nikam

Rapid Process Improvement

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Rapid Process Improvement

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Overview

Traditional process improvement approaches can deliver fantastic results, driving great improvements in a narrow scope. This improvement may, however, impact only a fragment of the end-to-end business process and ultimately deliver limited overall value.

Our battle-tested approach to process improvement opportunity identification (Rapid Process Improvement) takes a wholistic view of a key business process. By operationalising your organisation’s strategy into value drivers, the approach enables the identification of critical areas within the end-to-end process. Through analysing As-Is processes, existing issues, and potential opportunities, Rapid Process Improvement delivers a series of improvement work packages. These are translated into projects and plotted into an execution roadmap, ultimately delivering maximum value fully aligned with your corporate goals.

Receive practical training on our approach, built around deploying the approach in a real business situation. Learn how to be a Rapid Process Improvement practitioner and deploy it at your organisation.

Course
Outline

  1. Operating Model Overview
  2. Process Priority Mapping
  3. Process Repository Framework Overview
  4. Interviewing Stakeholders, Collecting Process Information
  5. Analyse As-Is Processes
  6. Defining Improvement Actions
  7. Creating Work Packages & Implementation Plan
  8. Overall Templates & Material – RPI

Learning
Outcomes

  1. Use value targeting to align initiatives with business strategy
  2. Analyse As-Is processes and identify improvement opportunities
  3. Prepare improvement actions and prepare To-Be processes
  4. Create work packages and execution plans
  5. Deliver transparency, agility, innovation, and more through BPM
  6. Apply a value-driven approach to digitalisation
  7. Develop a process agenda to deliver fast results and lasting capabilities
  8. Pragmatically plan the way forward for your organisation

Audience

Managerial level personnel looking for an approach to defining a strategically aligned improvement agenda, around a key business process or function, for the future.

Contact us for booking

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

Process Mining: Delivering Improvement

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Process Mining: Delivering Improvement

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Overview

Learn how to analyse your process data to monitor KPI(s) and generate fact-based insights with no prior data science experience.

Finding the missing link between “Business” and “IT” has always been a challenge for many organisations, especially with the ever-increasing data trail generated for almost every process actioned on a day-to-day basis.

Translate this data into actionable insights and pitch findings to the business using Process Mining technologies along with our tried and tested Rapid Process Improvement approach.

Receive comprehensive training on using Process Mining concepts, from understanding widgets, graphs and analytical techniques to creating deep-dive investigations using a specialist tool. Learn through hands-on, exercise-based training which is centred on real business process data and bottlenecks.

Finally, develop familiarity with advanced concepts such as how to collaborate your findings to the wider business and how to create a comprehensive business case for your process improvement initiatives.

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

  1. Understand process visualisation through discovery and conformance checking, to get a realistic view on your processes.
  2. Create and understand widgets, graphs and analytical techniques to monitor KPIs.
  3. Apply advanced filters, thresholds, and widget types to perform root cause analysis.
  4. Understand the Rapid Process Improvement Approach to Process mining.
  5. Develop a brief understanding of data requirements.
  6. Build a comprehensive business case.
  7. Collaborate your findings to the wider business.

Audience

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 setup requirements, an advanced technical course focusing on data science concepts pertaining to process mining is available.

Contact us for booking

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

Process Mining Advanced Technical Training

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Process Mining Advanced Technical Training

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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
Hardik Panchal

Implementing a Successful Automation (RPA) Practise

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Implementing a Successful Automation (RPA) Practise

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Overview

Automation enables you to execute processes at a fast pace. When not correctly implemented, however, things go wrong. Fast.

Before starting any Automation project, the scope / aim of the project must be critically analysed and aligned with the business need and existing project portfolio. Identify where automation can deliver the most return with the least effort must be the first step in any RPA journey.

Our frameworks provide guidance on identifying the critical areas ideal for automation. Leveraging our experience in the area, we then educate you on how to develop and implement basic RPA solutions with a specialist software.

Arm yourself with the tools required to successfully manage RPA initiatives, from project initiation through to the basic technical skills required for execution oversight.

Course
Outline

  1. Dawn of the Bots – what is automation & how will it change the workplace
  2. Avoiding RPA Pitfalls with BPM
  3. Targeting Processes for Automation
  4. Optimise then Automate
  5. Modelling: Process, Decision, Data
  6. Selecting & Configuring a RPA Tool
  7. Change Management for Bots

Learning
Outcomes

  1. Understand the power of Automation
  2. Discover the common pitfalls and the best ways to avoid them
  3. Finding the best practices to implement automation
  4. Use value targeting to align RPA initiatives with business strategy
  5. Basics of configuring the RPA tool and workspace
  6. Discuss the change management implications required with the introduction of RPA

Audience

Senior personnel looking to establish an RPA capability at their organisations, including the skill development, governance setup and usage scenarios.

Contact us for booking

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