What is the recommended method to run a batch in Data Management?

• A. Schedule a batch to run on a daily basis
• B. Run a batch only when needed
• C. Use manual execution every hour
• D. Batching is not supported

Answer: (A)

Automating data loads with a scheduled batch is the best approach. In Data Management, a batch groups the data load rules and mappings that you want to run together, and scheduling that batch to run daily aligns data loads with the typical finance close rhythm. This provides consistent, predictable execution, reduces manual steps, and gives you centralized monitoring, logs, and notifications if something fails. You can still run a batch manually if you need an immediate load, but relying on a daily schedule ensures data is up to date without constant intervention. Running only when needed or hourly manual executions create latency or extra overhead, and stating that batching isn’t supported is incorrect.