A collaboration of Singtel Group (Singtel/Optus/NCS) across Group IT, NCS and Group Network to build a next-generation digital telco platform — unified, cloud-native, and AI-ready.
Globe Telecom, in partnership with CICC and NTC, has blocked over 9 billion spam/scam messages since 2022. The company shut down 145,000+ SIM box operations and deployed Silent Network Authentication (SNA) for frictionless, SIM-based identity verification. GCash, the Philippines' leading mobile wallet, now serves 81 million registered users with 3.2 million QR Ph merchants, processing over 12.5 million daily transactions. This platform demonstrates how a unified data fabric enables these real-world capabilities at scale.
Over 60+ professionals in various data domains, with comprehensive expertise on data fields, Datawarehouse, BigData, data management/governance.
Delivers enterprise-wide all data needs with governed, secure and easy access.
"A Unified Data Platform vision envisions a cohesive ecosystem that integrates, secures, and empowers data, achieved through SciKIQ's AI-native Data Fabric with a Unified Data Model supporting organization-wide all workloads, from ETL to BI/Reporting and AI/ML."
| Current | TotF T+DF |
|---|---|
| Sorry Temporarily Closed | Always on — Always ready to serve |
| Response Times >> 2 sec | Low Latency — Improve response times (< 500ms) |
| Sorry Too Busy | Scalable — Consistent performance during high-volume periods |
| Mistrust (If Write is not supported) | Trust — Data Written is immediately available for Reading |
Data & Tooling duplications with complexities of hybrid data-warehouse platforms
Data Availability & Latency challenges on batch-based data integration on multiple data systems
No Disaster Recovery & High Availability — high business impact in case of data corruption/disaster
High cost with Tooling duplication for ETL/BI tools, DB & appliances. Multiple Data Appliance, Software licenses & Operational Teams
Multiple technologies requiring varied and expensive delivery skills. Complex environments & non-standard architecture
Data Quality issues across systems. Limited Scalability to handle growing data volumes and business unit demands