Global enterprises are increasingly embracing automation to keep pace with change, deliver superior experiences and support digital transformation initiatives. Yet many are struggling to realize the expected benefits of efficiency and cost savings, and a lack of business process understanding and actionable insights are diminishing the ROI of these automation efforts in pre and post-production.

The Need for Business Process Understanding

True knowledge requires more than a single source. When it comes to building a deep and dynamic understanding of business processes, multiple data sources are necessary to gain actionable insights. 

How do you choose what to automate and when? For most organizations, information and insight live in disparate sources. Any single source of process data is likely to be incomplete. End users have one perspective, test and RPA automation libraries have another, and servers may have yet another. Individual sources simply cannot deliver a total view. Yet when it comes to truly understanding what to optimize, automate and streamline, a 360-degree view is necessary to deliver the promised automation ROI. 

Identify As-Is Processes for More Informed Decisions

Business processes don’t exist in a single application in today’s complex IT environments. So process understanding must span across all applications to deliver the end-to-end view of the full business process.  Some automated business process discovery tools on the market today can only map out processes within a single, siloed application. Organizations with SAP, Oracle, Salesforce, and other large packaged applications know that their business processes don’t necessarily start or end in one application, but traverse multiple applications including web, custom, mobile applications, and more. For these large enterprises with complex business process applications, applying automation that offers a horizontal approach for automated discovery of their as-is end-to-end business processes is key to understanding how your business process actually works across all of the applications your workflows touch. 

Aggregate Process Data for Real-Time Process Intelligence

Once you’ve discovered your as-is business processes, combining that data with other process data sources together using AI and machine learning delivers a comprehensive view of business processes. Deploying process intelligence tools that allow you to ingest and correlate these multiple data sources enables a 360-degree view of your end-to-end process and identifies areas of improvement and ideal paths to apply automation. This real-time visibility and visualization of business process steps help you identify opportunities for continuous improvement and automation value. Applying this kind of process intelligence allows you to:

  • Gain process visibility to project potential benefits from automation and process optimization 
  • Combine multiple data sources into a single view, creating maximum flexibility to see what’s working and drive continuous process improvement
  • Automate at scale with deep process understanding and at-a-glance recommendations for which activities to automate next based on cost and frequency
  • Built test automation faster using comprehensive discovery data that feeds process intelligence
  • Navigate digital transformation projects and upgrades like Oracle Cloud and SAP S/4HANA with the clarity and understanding necessary to ensure functionality for mission-critical processes
  • Accelerate RPA strategies by building your RPA roadmap with clearly defined process targets


Reference Resources:

SSON Process Excellence Market Report

See pages 18-27 for Process Intelligence references:

Sogeti State of AI Applied to Quality Engineering Report

A high-level technical overview of the algorithms approach to combining multiple data sources for process intelligence:

Unlock Automation Value with 360-Degree Process Intelligence Webinar

Discover How True Process Understanding Enables Continuous Process Improvement and Drives ROI: