CASE STUDY

Umniah

1,100+ KPIs on an open, real-time data platform

Product

Data Fabric and Data Platform

Industry

Telecommunications

Country

Jordan

An open platform for daily and real-time decisions

Umniah needed a modern data lakehouse that could replace its legacy warehouse, scale with growing digital channels, and support decisions on data in motion without disrupting the surrounding data landscape.

Challenge

The operator required real-time decisioning, self-service machine-learning deployment, uninterrupted migration of legacy use cases, stronger data quality, and full privacy compliance. The new platform also had to reduce deployment, maintenance, evolution, and operating costs.

Solution

  • Replace the legacy warehouse with an open-source data platform.
  • Process data in motion and expose real-time APIs.
  • Deploy machine-learning models at scale through self-service workflows.
  • Apply masking, access controls, consent, enrichment, and data-quality controls.

Results

Cross-functional teams use the platform for daily and real-time insight, while real-time processing and APIs trigger offers based on recent subscriber usage and geographic coverage.

1,100+KPIs generated across business teams.

Real timeOffers informed by current usage and location.

Lower TCOOpen infrastructure that scales with more channels.