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Automate to elevate
By using AI-powered process mining to gain insights from enterprise data, businesses are improving performance and accelerating automation
By using AI-powered process mining to gain insights from enterprise data, businesses are improving performance and accelerating automation
Process mining software has come of age. This AI-powered tool taps the value of data collected by ERP, CRM, and other IT systems, and delivers insights from the data to make business processes run faster, more smoothly, and more cost-effectively.
Until recently, the use of process mining was limited to a few core functions, such as IT and finance. But now, business leaders are adopting process mining across many more functional areas, including supply chain management, ecosystem engagement, and sustainability.
When C-suite executives were asked about the benefits they expect from process mining, 72% of them said process mining improved operational efficiency and operational cost, 65% saw a boost in employee engagement, and 63% saw improved customer satisfaction. More than half of the executives surveyed also said that process mining improved innovation, agility, technological sophistication, profitability/efficiency, and revenue/effectiveness. In addition, organizations that use process mining typically see 8% in incremental annual growth.
Accelerating automation and digital transformation
Because it is fed on operational data collected across an enterprise, process mining can be applied to variety of tasks. The tool can be used to design intelligent workflows, develop digital twins, identify the best opportunities for automation, and calculate the return on investment after automating a specific task.
Process mining uses the power of prediction to unlock value previously hidden in operational data.
Organizations new to process mining typically start with a single use case, with a clearly defined purpose. The preparation and standardization of data follows. This step is often cited as the biggest obstacle to process mining, due to a lack of common process frameworks, definitions, and languages. After these hurdles are cleared, process mining tools analyze and visualize processes to spot nonconformance and opportunities for automation. By infusing AI with decision services, process mining uses the power of prediction to execute intelligent operational decisions.
Download the report to learn how process mining can help your company increase operational efficiency, enhance workforce experiences—and unlock the enormous value previously hidden in operational data.
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Meet the authors
Karen Butner, Global Research Leader, AI and Automation and Supply Chain Operations, IBM Institute for Business ValueJacob Dencik, Ph.D, Research Director, IBM Institute for Business Value
Lisa Higgins, President and CEO, American Productivity & Quality Center (APQC)
Anthony Marshall, Senior Research Director, Thought Leadership, IBM Institute for Business Value
Kirsten Crysel, Global Performance Data and Benchmarking Director, IBM Institute for Business Value
Originally published 11 May 2023
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