Sencinet — Data architecture and enterprise data lake
Client: Sencinet — Telecommunications
The challenge
The projects area's sources were scattered, and every KPI required integrating data by hand.
The solution
An enterprise data lake unifies the sources and supports the area's management KPIs, with no manual integration involved.
Why does an enterprise data lake solve scattered data?
When a company's information sources are scattered, every management KPI ends up depending on manual integration work. That effort is repeated every time a figure is needed, which takes time and increases the risk of inconsistencies between reports.
An enterprise data lake brings the sources together in a single point of reference, so KPIs are built on a common foundation. In Sencinet's case, this unification makes it possible to support the projects area's KPIs with no manual integration involved.
For your organization, the first step is to review how many sources feed your KPIs and how much manual work each one requires. If you would like to assess your situation, you can schedule a consultation with our team.
Technologies used
- Microsoft Azure
- Arquitectura de datos
Frequently asked questions
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