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Natural History Museum of Los Angeles County Case
![Natural History Museum of Los Angeles County logo](/_next/image?url=https%3A%2F%2Fcdn.sanity.io%2Fimages%2Fl5mo20ew%2Fproduction%2Ffa9f866902e65079af1789b0df1a0a65d51d9da8-300x300.png&w=384&q=75)
NHM saved time, improved data, and simplified approvals
Challenge
The Natural History Museum of Los Angeles County (NHM) implemented Emburse for expense and invoice management. Five years later, business priorities, market conditions, and new finance leadership prompted a refresh.
NHM partnered with the Emburse Adopt services team to optimize their existing solutions, ensure they were utilizing the latest Emburse features, and assist with training and change management.
Emburse Solution
During their 90-day Emburse Adopt program, NHM simplified their approval processes by reducing the number of rules by 95%—going from 200 to eight. They added credit card feeds to expedite expense reporting by automatically reflecting card purchases in the system. The finance team learned how to utilize Emburse’s self-service features and gained confidence in administering the solutions. As a result, the team increased control and efficiency—saving approximately five hours per week.
NHM improved data visibility by learning how to use Emburse’s latest reporting and analytics features. They added additional reporting fields to optimize their data and gain a more precise view of spending, which significantly improved the audit and helped them identify areas for savings. With clear and accurate data, NHM expects to have an easier time securing funding in the future.
The Emburse Adopt program helped streamline our expense and invoice solutions to align with current business priorities and workflows. In the process, we gained back time and increased control.”
Stephen De La Rosa
Controller
Result
Download NHM’s case study for all the details on how they leveraged Emburse Adopt to:
- Simplify approvals by eliminating 190+ rules
- Achieve 100% confidence in the audit
- Save five hours per week
- Improve data accuracy