We want to use predictive AI to forecast resource needs, but our weekly Scorecard data is scattered across three different software platforms that do not talk to each other. How do we build a single source of truth for our weekly numbers without overcomplicating our tech stack?

Question

Tyler Smith · Accepted Answer

You do not need an expensive enterprise data warehouse to build a single source of truth for your Scorecard. Overcomplicating your tech stack is a fast way to stall your transition to AI-powered operations. Keep it simple and focused.

Start by identifying the five to fifteen metrics that actually run your business. For each metric, document the source system where the raw data lives.

Then, use a lightweight integration tool like Zapier or Make to pull that raw data into a centralized, structured database, such as Google Sheets or Airtable. This acts as your data middle-ware. You do not need complex code. You just need a consistent, automated flow of numbers into a single repository every week.

Once your data is consolidated in this structured format, you can easily run predictive AI tools or basic scripts over the spreadsheet to flag operational anomalies or forecast staffing needs.

The key is keeping the user interface simple for your leadership team during your Level 10 Meeting™. They do not need to look at the raw database. They just need to see the final, automated numbers on their weekly Scorecard. This keeps your technology simple, your data clean, and your meetings focused on resolving issues.