27 pagesdaily operations report ready every morning
Use case · Transportation and Logistics
Butterfly in transportation and logistics
A rail transit operator with about 3,600 employees, serving about 3 million trips a day.
~3,600employees
~3 milliondaily trips
42 SAP moduleskept running
3 secfor a heavy report query that used to take 30 minutes
Problem
The challenges facing the organization
- Ridership, field inspection, human resources and maintenance data were spread across SAP, analysis cubes, different databases and mobile apps.
- A 27-page daily operations report was compiled by hand every morning.
- Heavy report queries took minutes, and business units waited on IT for every new report.
Solution
How it was solved with Butterfly
None of the existing systems were ripped out. Butterfly was set up on top of them as a shared data and decision layer; business units build their own dashboards without writing code.
- Connection to the SAP infrastructure; modules keep running
- Query acceleration with time series optimization
- Daily operations report generated automatically overnight
- Field inspection data turned into metrics the same day
Outcome
From the field, measured.
30 min → 3 secduration of a heavy report query
~100K rowsof daily field data in metrics the same day
The customer name is not shared for confidentiality reasons. Figures are taken from the organization’s records.
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