[Part 1] Enhanced Reporting of the Anaplan Audit Log Summary

As organizations continue to embrace Anaplan's powerful platform for connected planning and decision-making, maintaining robust security and compliance measures has become increasingly essential. The Anaplan Audit Log serves as a critical tool in achieving these objectives, providing granular insights into user activities and data changes within the platform. However, unlocking the full potential of the audit log and utilizing it effectively for reporting purposes presents its own set of challenges.

The primary purpose of this article is to explore these challenges and offer practical solutions to help organizations overcome them, thereby enabling them to harness the power of the Anaplan Audit Log for comprehensive reporting and analysis. By addressing the complexities associated with audit log reporting, organizations can strengthen their security posture, improve compliance, and enhance overall operational efficiency.

Efficiently fetching and formatting the audit log data for reporting purposes can be a complex and time-consuming task. In this article, we will explore the Anaplan Audit History Python project available on GitHub that automates the process of fetching Anaplan audit history, transforming it into a meaningful and reportable format, and loading the data into an Anaplan Reporting Model. Data that is captured includes user identification, the timestamp of the activity, the specific event type, and a description of the action taken. This data is recorded in a consistent and structured format, making it easy to filter, sort, and analyze.

By leveraging the power of Python, organizations can save valuable time, enhance reporting capabilities, and uncover valuable insights from their audit log data. The following diagram illustrates the process:

Next, learn how to deploy this solution by reading the second installment of this series: [Part 2] Enhancing Anaplan Audit Log Data Extraction with Streamlined Python Solutions.

Author: Quin Eddy, @QuinE - Director of Data Integration, Operational Excellence Group (OEG)