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Internal auditing is a critical business function that provides not only credibility and confidence in an organization’s financial operations, but also supports and improves controlling and other systems.
Auditors undertake many different tasks such as evaluating their organization’s compliance program, reporting on risk management issues, analyzing how the organization will perform under various economic conditions, and more.
Most auditors rely on manipulating data in spreadsheets. This method is repetitive, manual, time-consuming, and error-prone. By automating these tasks in a reproducible, self-documenting way is not only more efficient, but auditors can guarantee compliance and be confident in their results.
Hear how four global companies - RaboBank, ING, Tata Steel Europe, and Société Générale - are using KNIME Software to build repeatable, shareable solutions to improve internal auditing in their organizations.
How KNIME Became the Global Data Analytics and Wrangling Tool at Société Générale
Aadesh Gandhre, Regional Head of Audit - IT, Operations and LatAm Business, and Chief Innovation Officer, Société Générale
Hear 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. The presentation includes typical 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.
Data Analytics Within Internal Audit
Tjasse Biewenga, Manager Analytics & Internal Audit, ING
Hear how KNIME Analytics Platform and KNIME Server are being used for data analytics in the Internal Audit Function at ING. Two use cases will be presented by Tjasse Biewenga, who leads the Data Analytics team within this function. The role of this team is to lead and support the transformation of ING Corporate Audit Services to a data-driven audit function.
Anomaly Detection: Unknown Patterns in Anti-Money Laundering
Michiel Krol, Global Head of Audit Data Excellence, 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. Michiel is Global Head of Audit Data Excellence within Audit Rabobank and is responsible for helping auditors work in a data driven way. He also lectures at Tilburg University.
The Best Way to Start with Data Analytics is to Start with Data Analytics
Eddy van der Geest, Senior Auditor, 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.
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