Task Mining Playbook 2022
Market Report

20 Feb 2023
by Amardeep Modi, Harpreet Makan, Samikshya Meher, Santhosh Kumar

Enterprises worldwide have realized the need to evolve into digital-first businesses to remain resilient and competitive. However, many enterprises struggle to create streamlined and efficient transformation pipelines due to their reliance on outdated manual techniques.

To overcome these limitations, emerging technologies such as task mining provide a data-driven view of business processes. Task mining solutions leverage screen recording to capture steps taken by users outside of IT systems, generate task and process maps, and derive relevant business insights for process improvement.

Everest Group’s Task Mining Playbook offers a comprehensive understanding of the task mining solution, including its advantages, limitations, and key use cases across different business functions. Additionally, it provides an overview of task mining’s role across various stages of the digital transformation life cycle and offers a step-by-step approach to adopting and scaling the use of task mining solutions. The playbook also taps into various frameworks, such as Everest Group’s Pinnacle Model® and the Capability Maturity Model (CMM), to enable enterprises to determine their goals for task mining deployment, create a business case for adoption, and identify the capabilities they need to achieve their objectives and plot the paths for their journeys.

Scope

All industries and geographies

Contents

In this report, we:

  • Discuss the need for digital transformation
  • Define process intelligence solutions, along with their applications, use cases, and limitations
  • Examine the importance of task mining and its role in the digital transformation life cycle
  • Review the market characteristics of task mining
  • Outline enterprises’ task mining journeys and provide strategies to accelerate task mining adoption
  • Analyze frameworks to accelerate task mining adoption

Membership (s)

Service Optimization Technologies (SOT)

Process Mining

Sourcing and Vendor Management

 

Page Count: 140