Business Intelligence Audit of Regulatory KPIs

Case Study: Enhancing Data Capture and Reporting for a Non-Profit Organization

  • Service: Business Intelligence Audit
  • Industry & Size: Non-Profit &  3,300 employees
  • Key Challenge: Identify data definition gaps in data capture workflows, facilitate efficient data collection without overburdening staff, and automate reporting for ongoing monitoring.
  • BI Tools: VBA, SQL, Microsoft Forms, Power BI

Headline Result: All quality-related KPIs improved, with one KPI experiencing an increase of over 60%!

business intelligence audits; regulatory KPIs increasing

Summary:

The non-profit faced significant reporting inefficiencies and struggled to meet compliance deadlines due to reliance on manual spreadsheet processes. To address these challenges, I automated data entry using VBA macros and integrated various data systems, resulting in a remarkable KPI improvement of over 60%. Additionally, I implemented a notification system to capture data entry errors, ensuring consistent and reliable reporting. These automated workflows not only minimized manual labor but also enhanced data accuracy, enabling the organization to meet regulatory guidelines effectively.

Throughput Dashboard on Tableau

Created a custom heatmap using ED arrival and departure data that revealed patient census. This insight helped adjust staffing levels to improve patient throughput. The success of this data-driven approach led to its adoption by other institutions, dramatically enhancing operational efficiency and reducing wait times.

Standardized Quality Dashboard

Developed a comprehensive OB regulatory dashboard to track and standardize +50 KPIs across several institutions. This dashboard allowed for multi-level analysis and provided real-time data insights, leading to more consistent care delivery and improved performance tracking. The new system replaced siloed, spreadsheet-based reporting and established a benchmark for quality improvement.

Automated Operations Productivity Report

I developed an automated weekly operations report using Python and SQL, pulling data from a large data warehouse. This report tracks key operational metrics over time, such as customer arrival, door-to-entry, and door-to-leaving averages, providing a comprehensive view of throughput efficiency. Delivered via email, this self-service report allows stakeholders to monitor performance trends without manual intervention, enabling timely adjustments that optimize processes and improve customer experience.

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