The key component of Process Mining is understanding

Join us and be inspired by DSM (a global purpose-led, science-based company), PSA Bank (a credit institution) and EDF (Electric utility company). You will hear how they are using process mining to decrease rush orders by 50%, decrease inventory levels by 5%, increase STP of purchase order by 75%, or improve DSO by 25%?

Process mining is a vital part of understanding what makes a business ‘tick’, and from understanding comes the ability to drive valuable lasting change.

Process Mining is positioned between process analysis (BPM) and data analysis (machine learning, big data...), using data analysis methods to analyze data on issues related to a process to optimize it. When classical business intelligence measures output, process mining measures outcomes!

Business processes that seem to work can actually be complex and wasteful. Discovering the best processes that can be shared across an organization or identifying the bottlenecks and inefficiencies that are hurting your bottom line are the first step in continuous improvement.

It may sound unsexy but understanding its value can benefit your bottom line while eliminating waste and retaining the processes that add genuine value.

Who Should attend:

CEOs, Senior executives, operating managers, customer service e-leaders, process leaders and owners, resource managers, program management offices, Six Sigma belted people, Lean experts, and everyone else with a stake in getting the most out of customer-centric thinking and practice.

Why you should attend:

• See by yourself how process mining provides business value

• Hear from successful companies that are using new ways to improve their business bottom line

• Learn from experienced process managers how their organizations have benefited from process mining

• Share experience with other senior executives and understand how process mining can support your digital initiatives

• Get a chance to win a pilot project on your processes free of charge and test it for 3 months!

What you get:

• 3 different business cases: a manufacturing company (DSM) , a bank (PSA Bank) and utilities (EDF)

• 1 demonstration of AI-based root cause mining in IoT enable production lines

Agenda:

13h00 - 13h30 Welcome coffee

13h30 – 14h00 Introduction

Tanguy Petre, CEO of iMendos
Pierre Brunet, Senior Vice President, Software AG

14h00 – 14h45 Process Performance Management for Supply Chain - DSM

One of the divisions of the specialty chemical company DSM was experiencing a lot of disruptions in the frozen period of the production plan, a great deal of late deliveries of raw materials and large differences in the productivity of the production planning employees between the four business lines in the division. A project based on Process Performance Management found the root causes for these disruptions and the subsequent actions delivered a 3% increase in Overall Equipment Effectiveness, a 5% decrease in average inventory levels for raw materials and a more than 50% decrease in rush purchase orders

Caspar Jans – Software AG (former DSM Manager Demand and Supply Management & Business Process Management)

14h45 – 15h00 break

15h00 – 15h45 Banque PSA Finance monitors its operational processes with Process Mining

After nearly 10 years of improving its collection process, Banque PSA Finance wanted to break the glass ceiling in process operational excellence. How did the global PSA Banque Collection Shared Service Center decreased by 10 days a DSO process of 35 days on avg? How to reduce the risk exposure - Basel II financial reservations by law? On the underwriting process, how to ensure the respect of the SLA? Banque PSA Finance monitors and improves three operational processes (collection, underwriting, dealer network funding) with Process Mining

Alain Bizien-Tessadri – Software AG (former PSA Banque Project Manager Process Excellence and digital transformation)

15h45 – 16h15 EDF - Increasing STP for Procure to Pay

Process mining is used to support the objective of reaching an automatic accounting record of supplier invoices of about 70%. Today it is 40%

16h15 – 16h45 Artificial intelligence, IoT and Process Mining

Today with IoT, RPA, ERP much data is available on process execution. Process mining combines AI and Machine learning to identify pattern issues, bottlenecks, waiting time and waste. Course of actions becomes clear for long term improvements.

Helge Hess, Vice President Software AG, Product Marketing

16h45 – 17h00 Conclusions

17h00 - 18h30 Drinks