Julian Grümmer

Biography

Introducing Dr. Julian Grümmer, the man who takes his coffee as seriously as his PhD in Accounting and Auditing! With a focus on ESG and the tech sector, Julian is an M&A Analyst at Proventis Partners who knows his way around numbers just as well as he knows his way around a bicycle. That’s right, when he’s not crunching numbers, you can find Julian pedaling away on his trusty two-wheeler. With his love for coffee and bikes, Julian is not just your average business analyst, he’s a unique blend of brains and brawn. Get ready for a caffeine-fueled and cycle-powered performance at the conference!

Talks and Events

2023 Talk: Towards a Knowledge Graph Framework for ESG Supply Chain Analysis

In the field of sustainability reporting and auditing, sustainability presents some challenges and opportunities. Due to the difficulty in the technical analysis of this data and the lack of a central database, we show in the presentation how data from different sources on the suppliers and the supply chain of the textile companies Adidas, H&M and Nike can be transferred into a knowledge graph and what advantages this offers for sustainability reporting and auditing.

Track: Environmental, Social and Governance

Session Topics:

• Business Use Cases
• Content Production using KGs
• Data Management
• Data Governance
• Data Discoverability

2021 Talk: What can we learn from knowledge graphs? A Wirecard perspective

The Wirecard scandal was one of the most shocking economic events in Germany in 2020. The former DAX30 company collapsed on June 25, owing creditors more than €3.5 billion (almost $4 billion) after disclosing a gaping hole in its books that its auditor EY said was the result of a sophisticated global fraud. But were there any signs that something went wrong?
In our study, we gathered all relevant information from management and supervisory board members from the 30 largest companies (DAX30) in Germany for the fiscal year 2019. Relevant information includes place of birth, date of birth, education and work experience. Our knowledge graph contains 745 people, 1.203 companies and organizations, 5.116 roles and 1.128 degrees or educational programs. All this information helps us to understand what was different at Wirecard and what may be the reasons why Wirecard failed. Using a knowledge graph enables us to automatically detect and visualize all kinds of ties between supervisory and management board members, whereas detecting them manually requires more effort and is more error prone. The collection of the data reveals that there was little to no information available for most of the supervisory and management board members of Wirecard, which is uncommon for a DAX30 firm. In addition to that, it is obvious that the management board has far less work experience than managers from comparable companies. When looking at the experience of Wirecard’s supervisory board members, it becomes clear they were little or not all familiar with board activities. Furthermore, our graph shows that supervisory board members from Wirecard are less connected to other members of supervisory boards compared to other DAX30 companies.