Any idea —- How can an AI‑driven monitoring layer be built for Anaplan integrations to analyze logs, schedules, and execution results, and generate contextual alerts for support teams when failures occur ?
To build an AI-driven monitoring layer for Anaplan, you first need to centralize metadata by using Anaplan APIs or the CloudWorks service to export audit logs, task history, and integration results into a data lake (like Snowflake or Azure Data Lake). Once centralized, you apply Anomaly Detection models (such as Isolation Forests or LSTM networks) to establish a baseline for normal execution times and data volumes, allowing the system to flag "silent failures"—like a successful EmpowerRetirement com run that processed zero records—which traditional rules often miss. These insights are then fed into a Generative AI agent that correlates the error codes with historical resolution data to generate contextual alerts (e.g., "Failure due to locked workspace; notify Admin A") sent directly to Slack, Teams, or ServiceNow.
A quick reminder of the Bulk Copy functionality. Bulk Copy allows you copy large volumes of data from one slice of a model to another in a single, optimised operation, instead of using formulas or imports. Use case: copy a version (RF1) into a prior year version (PY RF1) using a versions list to allow for year-on-year…
We are looking for Anaplan end-users to provide feedback on their experiences with the Excel add-in. Interested individuals will respond to this 5-minute survey to help us understand personal needs and behavior when using the add-in. The feedback provided by survey takers is essential to the roadmap of Anaplan's products.…
Anaplan Champions! The Community team just posted this announcement that certification badges may not be showing up on your profile probably until next year. Rest assured, you will get credit once you complete and pass the exams. https://community.anaplan.com/t5/Blog/Badges-Back-Soon/ba-p/123385
