Impact 1: Using LigaData Data Fabric with Open Source stack, Umniah has seen a notable reduction in TCO while scaling to handle more digital channels.
Impact 2: Using LigaData Data Fabric, cross-functional groups are generating over 1,100 KPIs, getting insights into their business on a daily or real time basis, and making data-driven decisions.
Impact 3: Umniah is leveraging LigaData Fabric real-time processing and APIs to provide real time offers to subscribers based on their recent usage and geographic coverage.
The Opportunity
For a telecom service provider, the capability to manipulate and process data in a timely manner and to extract useful insights from large volumes of data is a key competitive lever in the market. Umniah was seeking a platform that would fit their growing needs of data-based activities, and a partner to help them migrate from their legacy platform to a modern DLH system.
Umniah required a new data platform that offered the following capabilities:
- Real-time decisioning on data in motion
- Self-serve deployment of Machine Learning models at scale
- Replace the legacy DWH with no impact to Umniah’s surrounding data landscape
- Uninterrupted and steady migration of the use cases supported by the legacy application
- Future-proof the data platform to handle business-driven new advanced digital use cases
- Improve data quality and data enrichment capabilities
- Full compliance with GDPR. Including data masking, obfuscation, access rights and customer consent.
- Cost efficient solution measured in terms of TCO. Specifically, Umniah was focused on reducing deployment costs, on-going maintenance, evolution, and operations.
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