Impact reporting requires extracting outcome data from multiple systems, reconciling inconsistencies, and compiling findings into a polished narrative. Manual consolidation across databases and spreadsheets is time-consuming and error-prone, delaying stakeholder communication.
Automated impact reporting pulls data from all sources, validates it against reconciliation rules, and generates a draft report ready for executive review. The result is faster turnaround, fewer errors, and more frequent reporting without additional staff effort.
The full workflow, from trigger to completion.
Automation starts on a scheduled date or when a report request is received. The system identifies which data sources and metrics are needed for this cycle.
Automation queries API to pull outcome records, contact details, and deal metrics for the reporting period. Data is formatted and staged.
Automation reads outcome data from designated and other connected sources. All data is consolidated into a unified staging table.
Automation compares data across sources, flags discrepancies, and applies reconciliation rules. Verified totals are confirmed against program baselines.
Automation populates the report template with verified data, calculates summary metrics, and formats tables and charts. The draft report is ready for review.
Automation sends a message to the executive director with a link to the draft report and a request for approval. The message includes a summary of key metrics.
Once approved, automation sends the final report to all stakeholders and logs the distribution in the tracking sheet.
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