KNIME for Auditors
Written by Jamie Crossman-Smith
Many large organizations are investing heavily in advanced technologies such as machine learning and data science, but most internal audit functions are lagging behind and still rely on Excel or legacy software such as ACL and IDEA. In addition, mid-size firms often depend on a single individual with a flair for analytics, often proficient in SQL or the Microsoft stack, but lack broader organisational support or understanding to fully leverage the power of modern analytics. This, coupled with the fact that technology is constantly evolving and artificial intelligence and other transformative tools are changing the landscape, means that audit functions that fail to adapt risk falling further behind.
KNIME offers a powerful solution to many of these challenges. It enables users to perform advanced analytics, including machine learning and process mining, without the need to learn coding. This accessibility makes it an ideal tool for internal auditors who want to build sophisticated, continuous auditing tools and enhance their analytics capabilities without requiring extensive technical expertise.
Moreover, KNIME opens the door to exploring the “art of the possible,” empowering audit teams to reimagine their approaches and take full advantage of modern technology. This book is not just a guide for transitioning from legacy tools; it also serves to inspire those looking to understand what can be achieved with KNIME.
This guide is designed for internal auditors who are familiar with ACL and IDEA and are ready to explore the KNIME Analytics Platform. It serves as a practical "translator," helping you transition your auditing toolkit into this powerful open-source environment. You will learn how to perform familiar tasks such as importing and manipulating audit data, conducting analytic procedures, and applying advanced techniques like regression, clustering, and neural networks, all within the context of auditing.
This book is the result of a collaboration between Bloch.ai and KNIME.
KNIME offers a powerful solution to many of these challenges. It enables users to perform advanced analytics, including machine learning and process mining, without the need to learn coding. This accessibility makes it an ideal tool for internal auditors who want to build sophisticated, continuous auditing tools and enhance their analytics capabilities without requiring extensive technical expertise.
Moreover, KNIME opens the door to exploring the “art of the possible,” empowering audit teams to reimagine their approaches and take full advantage of modern technology. This book is not just a guide for transitioning from legacy tools; it also serves to inspire those looking to understand what can be achieved with KNIME.
This guide is designed for internal auditors who are familiar with ACL and IDEA and are ready to explore the KNIME Analytics Platform. It serves as a practical "translator," helping you transition your auditing toolkit into this powerful open-source environment. You will learn how to perform familiar tasks such as importing and manipulating audit data, conducting analytic procedures, and applying advanced techniques like regression, clustering, and neural networks, all within the context of auditing.
This book is the result of a collaboration between Bloch.ai and KNIME.