Keynote speaker: The Godfather of Process Mining, Wil van der Aalst
Introduced over 20 years ago, process mining today is rapidly becoming a standard way to analyze performance and compliance problems based on event data. Process mining connects BPM and data-driven approaches such as Data Mining, Machine Learning, AI, and BI, by combining a process-centric view and the evidence hidden in an organization's databases. Hailed as the Godfather of Process Mining, Wil van der Aalst reflects on the capabilities and limitations of today’s process mining tools.
How to use Process Mining to remove operational friction
Increase efficiency and reduce costs by avoiding the replication of resources
Improve quality and effectiveness by the industrialization of service processes
Prof.dr.ir. Wil van der Aalst, Distinguished Humboldt Professor, RWTH Aachen University
Calculating the Return on Process Mining Investments
According to the NFIB, nearly 30% of small businesses in the U.S. are planning major spends in the near future, and as qualified workers continue to be an issue, these funds are expected to go toward “labor-saving technology”. Although obstacles may be unique for every business, the path to overcoming them must begin by examining what’s really going on in your business. In this session, discover typical results of process mining projects through a series of mini case studies.
How to diagnose processes confidently and move forward with real data for decision making
Get rid of unnecessary costs and generate higher profits by analyzing event logs
How Suncorp reduced processing time from 30-60 days to 5 days by identifying and reducing bottlenecks
Discover Process Variations in Detail using Machine Intelligence
Understand and implement process re-engineering based on a data driven approach rather than the generic experience of consultant.
Continuously monitor business processes for drift and not depend on once a quarter / year audit.
An efficient, accurate, and continuous discovery of business processes.
Avinash Misra, CEO, Skan.
Intel Corporation Corrected Flaws with Process Mining
As most mature continuous improvement programs will attest, deploying manual process mapping methodologies can be time-consuming and prone to gross inaccuracies. In this session, discover how process mining can correct these critical flaws by using computational algorithms that can quickly and objectively create process models solely from event logs.
Three core concepts of process mining: discovery, conformance, and enhancement
How to quickly integrate process mining into your continuous improvement program
How process mining can be easily integrated to improve the business value and increase the velocity of improvement projects
There is a tendency to want to automate “annoying” or “frustrating” tasks that agents undergo, however once automated, does not necessarily deliver the most savings. In this session, discover how Process Mining is able to analyze the P2P process and make the best recommendations for which steps of the process to automate.
Identify workflow inefficiencies which can lead to a damaging cash flow situation
Prevent overpayment for procured goods and services by correcting past overpayments mistakes
Root out suppliers which no longer (or temporarily) don’t comply with internal regulations
A significant level of manual processing not only increases the average handling time, but also creates a higher incidence of human errors. With AssistEdge RPA, discover how to identify multiple use cases that could be automated – from anti-money laundering payment screening to budget utilization and more.
Achieve 95% process automation for each use case, thereby
Reduce average handling time by 70%
Reduce costs by 80%
Session reserved for Edgeverve
Merck adopts Process Mining to Reinforce RPA and Automate 20+ Processes
Automation has turned into one of the fastest growing technologies in recent years however many of the initiatives are falling short of their goals. In this session, discover how Merck was able to establish a framework for automation that helped them determine not only the optimal path for selection and implementation, but ensure their ongoing success and expansion into other use cases.
Identified the best automation opportunities for RPA, OCR, AI and Machine Learning
Established robot benchmarking to verify their business case
Built in adaptability to accommodate system changes
Steve Carpenter, Executive Director, GBS – Digital Transformation, Merck
Increasing the Speed of Business Improving Initiatives using Process Mining
While some businesses have a long history of utilising Business Improvement methodologies, investing in Process Mining to increase the speed of transformation initiatives is still a relevant task. In this session, discover how to enhance the visibility of workflows, and enable work to be more targeted.
Reduced the amount of non-value-add activities and eliminated manual reporting efforts
Leveraged PM and facilitated benchmarking across business units to easily replicate good processes
Amplified the potential of Process Mining by integrating it with RPA and AI