Process Mining

One Process Mining Sector Study performed by an Independent third-party firm in January 2020 revealed that:

• 78% believe Process Mining is a Critical or an Important Enabler for RPA
• 90% use Process Mining for more than process mapping
• 50% want to see Process Mining feed directly into RPA

To enable end-to-end automation, and to scale and accelerate RPA, a systematic process discovery and process assessment are important, as it:

• Provides a holistic view to discover and prioritize automations to maximize ROI
• Enables continuous improvement through understanding of the end-to-end process, and continuously optimize interactions between bots and people
• Democratizes automation process by empowering employees to drive grass-root level efforts

Reality of any enterprise-level process:

      Source: Celonis


A typical client is prepared with:

1. Recognition and Awareness of the Opportunity:
 • Complex value chains are driven by many interdependent processes
 • Complex, fragmented systems are supporting the process
 • Lack of visibility into AS-IS process exists and its compliance to standards is unknown
2. Well-established, well-aligned Business Goal:
 • Process improvement is an established organizational priority, and is aligned with strategic annual objectives at organizational level
 • Process owners are held responsible to drive better outcomes
 • Resources are aligned to meet the business goals

Are you ready?

Process Mining benefits:

 • Identifying true business problems in real-time
 • Visualizing business process flows and charts based on the actual value-stream or transaction-processing
 • Understand process variance and adherence or compliance to standard process
 • Detecting the source of bottlenecks and delays
 • Replacing opinions, one-off observations and anecdotal with hard facts and data
 • Improving process efficiency and reducing costs
 • Saving processing time or value delivery time, and releasing working capital
 • Monitoring of real-time process performance before, during and after the improvement efforts, enabling continuous improvement, and identifying next-best-action for course correction

Below is a quick comparison between Traditional Method and Process Mining:

Traditional Method	Process Mining
Subjective	Objective
Time-consuming	Instant
Resource-heavy	High ROI
Looking at one specific point in time	Continuous and Predictive
Hard to visualize	Automatic Visualization

Key components:

Process mining can be applied to, essentially, any process, any function, in any industry.

Typical use cases include performance reporting, digital transformation or automation, auditing and compliance, process improvement.

 

Process Visualization	Performance Reporting and Analysis	Process Efficiency Improvements	Process Standardization
No need for traditional, tedious, manual effort to assess process performance Real-time, continuous process visualizations Fact-based performance reporting, highlighting teams and units that are using the best practices	Utilizes abundance of data in company’s operational systems Displays real-time performance data to dig out real root causes Recommends list of target changes to achieve the desired benefits	Highlights inefficient processes Estimates the potential cost savings Demonstrates which units are performing best and why Reveals untapped available potential to maximize profits	Enables faster audits and compliance assessment avoiding penalties for non-conformance Highlights the importance of reducing process deviations Highlights hidden manual work i.e., workarounds Enables instant ROI through process standardization

 

Methodology:

Processes are forced to run across a rigid and fragmented technology landscape, so how can you use operational data to drive better business results?

 1. Connect Data
   It uses the event data that is already available in your IT systems (ERP, CRM, BPM) using data connectors

 2. Discover Processes
   Process Analyzer visualizes as-is process flows so you can see how your processes really work
   Measure capacity, see how processes really run, and identify gaps

 3. Analyze Root Causes
  Root Cause Analyzer reveals causes of process inefficiencies and bottlenecks
  Know which gaps have the greatest impact, and what’s the right course of action

 4. Optimize and Automate processes
  Identify processes that are suitable for automation, standardization, optimization, or other improvement efforts Act to remove gaps in real-time and unlock your capacity

 5. Monitor Key Performance Indicators
  Keep monitoring your KPIs continuously to ensure that your strategic objectives are met

Generic use cases:

How to leverage Process Mining in Customer Service function:

  • Focus on clients’ requests, pain points, interactions, touchpoints, and fulfilment
  • Follow touchpoints by following the end-to-end event log on all applicable systems (a digital breadcrumb trail)
  • Connect all interactions and events together to ascertain who all are involved, and what has been to fulfil customer request
  • Identify failure points and address them


Source: Celonis

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Process Refining:

In the same way that all valuables that are mined need to be refined before they can truly shine, Process Refining for Automation takes in results from Process Mining or occupational charts and churns out a potential Robotic Process Automation project for the organization through an occupation-centric approach.

Companies that use SAP will draw the most benefit from Process Refining, as it has been created thinking of tasks and roles specific to SAP processes. For these companies, we discover automation potential quickly and in a highly adaptable manner, using our suite of accelerators.

Process Mining enables Digital Twins: