All workCase 003 / Data analytics

The reporting function, automated

ClientA commercial real estate operator
IndustryCommercial real estate
EngagementFixed scope · ~240 hrs
Status● IN PRODUCTION
/ 01The challenge

The operator's property and financial data lived inside Yardi, and getting useful reporting out of it meant manual exports and spreadsheet work. Leadership needed recurring visibility into key business metrics without anyone having to assemble reports by hand.

/ 02What we built
  • Secure automated ingestion of daily Yardi database backups over SFTP
  • A configured database environment processing those backups daily
  • ETL pipelines transforming raw Yardi data into reporting-ready tables
  • Three automated Looker Studio dashboards tailored to the operator's KPIs
  • Five recurring automated reports in Google Sheets
  • Documentation and stakeholder training for full handover
/ 03How it runs

Every day, Yardi's backup lands on an SFTP server. The pipeline picks it up, restores it into a dedicated reporting database, runs the transformations, and refreshes the dashboards and reports on its own. Nobody exports anything, and the spreadsheet rebuild is gone from somebody's morning.

/ 04The outcome

Recurring reporting that previously required manual effort now runs automatically every day, with validated data accuracy and a trained internal team that owns the solution.

/ 05Engagement shape

Fixed-scope statement of work with milestone billing. Roughly 240 hours across eight workstreams, from requirements gathering through documentation and stakeholder training.

/ 06The pattern

Most operational systems keep their reporting locked behind manual exports, and Yardi was this client's version of the lock. Property management, accounting, ecommerce, ERP, the treatment is the same. Land the data overnight, publish it before the office opens.

Sitting on data you can't see into?

The pattern behind this pipeline fits most operational systems. Tell us which one holds your numbers.

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