09:00AM ET 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. Hailed as the Godfather of Process Mining, Wil van der Aalst reflects on the capabilities and limitations of today’s process mining tools. In this session, discover:
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
10:00AM ET Calculating the Return on Process Mining Investments
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
Reduce processing time from 30-60 days to 5 days by identifying and reducing bottlenecks
Session reserved for sponsor, Celonis
Avinash Misra, CEO, Skan.
09:00AM ET How 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
Steven Remsen, PhD, Manager, Enterprise Process Excellence, Intel Corporation
10:00AM ET Enhancing the Efficiency of Procure to Pay (P2P) through Process Mining
The rise of RPA has driven businesses to jump on the automation bandwagon head first, however once automated, does not necessarily deliver the most savings. In this session, discover how Process Mining is able to analyze the P2P process to identify bottlenecks 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 mistake
Root out suppliers which no longer (or temporarily) don’t comply with internal regulations
11:00AM ET Process Mining for Shared Services: Double-Digit Savings & Speed to Market
Data science is the profession of the future, because organizations who are not able to use big data in smart ways will not survive. With that in mind it has become essential that shared services stakeholders are able to extract the information that will inform leadership to assist them in making strategic decisions for the entire organization.
Examine the three types of process mining – discovery, conformance and enhancement
Evaluate how process mining can create a bridge between data mining and business process management
Outline the initial steps to launch a process mining project in a structured manner
Session reserved for sponsor, Signavio
THURSDAY 26TH MARCH 2020
09:00AM ET 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 due to automating the wrong processes. 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
10:00AM ET Using Advanced Process Analytics to Become More Competitive
In 2013, ABB piloted process mining in one single location; after the success of this, it has now been rolled out globally across 20+ locations and all units. ABB needed to reduce variability and make use of best practices through collaboration across the business. By connecting 40 ERPs to 1 global data lake, the business was able to strive for standardization and find ways to measure performance across an E2E Value Chain.
Improve lead time to market and increase potential to grow the business
Capitalize on management support to drive Continuous Improvements across the organization
Core Processes Analytics transforming Descriptive Analytics into Digital Transformation