Sifra turns operational data into decision-grade reporting while keeping ownership, access and purpose clear. For mobility and fleet data, we work with privacy-by-design controls that help clients meet their data-protection responsibilities.
For location and fleet data, the question is not whether the data is useful. It is whether every person, system and decision only sees what it needs to see.
We process data for the reporting and decision questions agreed with the client — not for unrelated reuse.
We design for the minimum useful data, with aggregation and reduced precision where the business question allows it.
Role-based access, limited permissions and traceable handling keep raw operational data out of unnecessary hands.
Sifra reports are designed around aggregated patterns, coverage and business actions — not individual-level surveillance.
Data moves through a defined path — each step narrows what is exposed and widens what is understood.
The client remains in control of its operational data and determines the business purpose.
Only the required fields enter the workflow; direct identifiers should be excluded where they are not needed.
Access is restricted, systems are secured and processing is documented.
Dashboards focus on areas, time periods, routes, campaigns and trends — not identifiable individuals.
Raw data is retained only for the agreed operational need, then deleted or returned under the engagement terms.
Location and time patterns can be sensitive, even when a name is not attached. That is why a mobility project should begin with a data map, a clear purpose and the right safeguards — before the first dashboard goes live.
In a typical engagement, the client determines why the data is processed and remains the data controller. Sifra processes it only to deliver the agreed reporting and analysis. The exact role, instructions, permitted systems, sub-processors, retention period and incident procedure are documented contractually before launch.
If a project requires new purposes, cross-client benchmarking, AI training or individual-level decision-making, it requires a separate review before it starts.
The shape of a well-run engagement — the things we expect to see in place before and during a project.
Bring the data question you're weighing. We'll walk through the setup, the safeguards and what a first dashboard would actually show.
Tell us what you can't see today. Within 48 hours you'll get back a mock dashboard built on your industry's data shape — free, no strings.