KNIME Data Talks - Audit
Slides and recordings from the Data Talks on May 11, 2021.
Presented by: Tjasse Biewenga , ING
How the Internal Audit Function at ING is using KNIME Analytics Platform and KNIME Server for data analytics - highlighted in two use cases. The role of the Data Analytics Team is to lead and support the transformation of ING Corporate Audit Services to a data-driven audit function.
Presented by: Aadesh Gandhre, Société Générale
How KNIME started as a PoC in the Americas and ended up being rolled out globally to become the go-to data analytics and data wrangling tool at Société Générale. Aadesh presents KNIME use cases from various audits, as well as reporting examples. Aadesh joined Société Générale as the Group Head of Audit for IT and LatAm Audit in September 2017 and subsequently started heading Operations Audits in March 2021. He is also the Chief Innovation Officer for the Internal Audit department in Americas.
Presented by: Michiel Krol, Rabobank
Rabobank has built a KNIME component to help auditors apply isolation forest (anomaly detection) machine learning themselves. In this use case, they have applied it to the area of anti-money laundering, where they are using it to uncover unknown patterns rather than the usual known patterns in an effort to reduce money laundering activities.
Presented by: Eddy van der Geest, Tata Steel Europe
KNIME is a very useful tool to support data analysis in audit departments. A key factor for success is the combination of a subject matter expert and data analyst. Data driven audits are sometimes a struggle, but can also be very rewarding and fun! Eddy has been Senior Auditor at Tata Steel Europe since 2003, and prior to this worked for twelve years at KPMG as a Chartered Accountant and IT-Auditor.
All panelists. Moderated by: Mihály Medzihradszky, KNIME
The panel discussion covers topics such as whether the drive to implement analytics into audit is rather a top-down management request, or intrinsic motivation from enthusiastic auditing experts. How to handle resistance in applying analytics in the auditing space. And lastly, what the minimum skills are for an auditor to have in order to get started with KNIME.