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Jim was here: February 26, 2026, 11:05 AM

Testing BPPE post/

Stacks upon stacks of paperwork

The Office of Data and Innovation (ODI) built a tool to optimize prioritization of enforcement activities.

Project scope

  • Timeline: 5 months
  • Team: 2 analysts, 4 subject matter experts, 1 project manager
  • Reach: Over 500,000 students

Partner

Methods

  • Automation
  • Data analysis
  • Data visualization

The opportunity

The California Bureau for Private Postsecondary Education (BPPE) plays a crucial role in protecting students and the public from unfair
practices. Under California law, they are responsible for overseeing California’s:

  • Vocational, technical, business, and trade schools
  • Private colleges and universities
  • Private professional schools

To ensure compliance, BPPE conducts routine inspections and investigations of these institutions. They prioritize these enforcement efforts based on risk to students.

Every year, these institutions submit reports on their operations and educational programs. These reports include key metrics like graduation rates and financial information. Students can use these metrics to make informed enrollment decisions. And BPPE uses these metrics to inform its enforcement activities.

These reports contain a lot of data. Turning the data into actionable insights was a challenge. BPPE had to manually review reports. Data processing was time consuming. With so many reports, there was a risk of human error. Data quality issues, including late or missing data further complicated the process.

How we helped

We worked with BPPE staff to build a user-friendly tool. It helps them load, clean, and analyze data more efficiently. Most importantly, it gives BPPE staff insights into potential risks to students.

This new approach offers several key advantages:

Flag risk factors

The tool analyzes each institution to identify potential risks to students. It then uses a prioritization logic to rank these risks by severity.

Data validation

The tool pinpoints missing fields and data inconsistencies. It then creates a summary of findings that staff use to work with institutions to correct.

Automated data processing

Previous manual processes took a lot of time and effort and overburdened teams. The tool automatically processed over 7,570 reports from a 2022 sample dataset in just 80 seconds.

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7,500+
annual reports to analyze
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80 sec.
to transform and analyze the reports
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Result
actionable risk factor insights

Impact

Organized data that is easy to use

BPPE staff can now quickly identify which institutions to prioritize for inspection. They can dig deeper to understand why they should respond or monitor or they can view risk patterns across all institutions.

Faster, more accurate, data-driven decisions

BPPE staff can now monitor institutions near-real time. They can respond proactively to emerging issues and ensure institutions meet educational standards.

Increased effectiveness

Automation reduced staff time spent on manual reviews. BPPE now has more time for enforcement efforts. The tool also creates a centralized output dataset. This allows BPPE staff to seamlessly reuse the data and build upon existing analysis.

As project champion, I saw how ODI’s Data Accelerator Project improved the Bureau’s ability to process large volumes of data in real time, helping us make quicker decisions for our consumer protection enforcement efforts. The ODI team’s innovation and guidance were key to making this project a success and significantly improving our overall effectiveness.

—Elizabeth Elias, Enforcement Deputy Bureau Chief, BPPE