Hello Trailblazers, 

Navigating the Data 360 credit consumption model can be challenging when trying to map overall credit usage back to specific transforms, refreshes, or pipeline resources.

To help address this gap, I recently authored an article for the Salesforce Architects blog outlining a practical credit feedback loop designed to help you:

• Test Build Logic: Validate transforms against filtered data before running full-scale datasets.
• Pinpoint Usage: Trace consumption back to specific architecture components rather than relying on aggregate totals.
• Right-Size Cadence: Align refresh schedules directly with business requirements to avoid unnecessary credit burn.
• Architect Visibility: Embed credit monitoring directly into your system design from day one.

📖 Read the full article: https://sforce.co/4A0Ae46

How is your team currently tracking and optimizing Data 360 credit usage in your architecture? I’d love to connect and hear your approaches in the comments!