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Skan - Process Understanding

Vendor Analysis

by Mike Smart

published on Jul 23, 2024

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Report Overview:

This NelsonHall assessment analyzes Skan's offerings and capabilities in process mining and discovery

Who is this Report for:

NelsonHall’s Process Understanding profile on Skan is a comprehensive assessment of Skan’s offerings and capabilities, designed for:

  • Sourcing managers monitoring the capabilities of existing suppliers of Process Understanding and identifying vendor suitability for Process Understanding RFPs
  • Vendor marketing, sales, and business managers looking to benchmark themselves against their peers
  • Financial analysts and investors specializing in the Digital Transformation Technologies sector.

Scope of this Report:

The report provides a comprehensive and objective analysis of Skan’s Process Understanding offerings, capabilities, and market and financial strengths, including:

  • Identification of the company’s strategy, emphasis, and new developments
  • Analysis of the company’s strengths, weaknesses, and outlook
  • Revenue estimates
  • Analysis of the profile of the company’s customer base including the company’s targeting strategy and examples of current contracts
  • Analysis of the company’s offerings and key service components
  • Analysis of the company’s delivery organization, including the location of delivery centers.

Key Findings & Highlights:

The company offers Skan AI, a process intelligence platform that uses a range of AI techniques (including computer vision) to continuously observe how work and tasks are executed to deliver automated process discovery and insights for automation, operational excellence, workforce optimization, compliance, and continuous operations management and improvement at scale.

Recent developments to the platform have focused on Skan Wing which leverages LLMs to analyze process data, and Skan’s Data-as-a-Service, which powers its many analytical views and guides and enables clients to consume Skan’s data and insights on other platforms.

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