Becoming a data-driven business is vital for improving stakeholder experiences and operational efficiencies. Manual techniques limit visibility into processes and tasks. Process mining analyzes structured data in processes, but user interactions with business applications go uncaptured.
As most employees work on third-party applications, capturing user interaction data is essential for completely understanding end-to-end processes. Digital Interaction Intelligence (DII) addresses this gap by capturing and analyzing user interactions, offering insights into workflows, and enabling enterprises to unlock increased business value through more informed decisions and process optimizations.
Everest Group’s DII Playbook comprehensively explains the DII solution’s key components and functionalities, including its applications, benefits, and use cases across industries and business functions. It highlights DII market characteristics, including its current market status and adoption across market segments. Additionally, the playbook offers valuable insights, methodologies, and practical guidance to enterprises at different stages of their process automation and transformation journeys to maximize their DII impact.
Scope
All industries and geographies
Contents
In this report, we:
Evaluate the need for data-driven decision-making
Analyze process mining limitations
Examine DII, including its key components and product functionalities
Assess DII applications, associated benefits, and use cases
Understand DII market characteristics, including DII’s state of market and adoption