T-Mobile USA adopts a data lakehouse architecture to improve data processing time and reliability for procurement operations
25 October 2023 | Research
Case study | PPTX and PDF (5 slides) | Data, AI and Development Platforms
The USA has one of the most-active markets in terms of 5G deployments. T-Mobile USA wanted to accelerate network build by increasing the number of weekly network projects. To achieve this objective, the communications service provider (CSP) transformed the data architecture that was supporting its procurement back-office functions.
This case study provides:
- Key drivers influencing T-Mobile-USA’s decision to transform its data architecture that supports its procurement processes
- Insights into T-Mobile USA’s approach to implementing the data lakehouse architecture
- Key lessons from T-Mobile USA’s implementation of a data lakehouse architecture
Author
Adaora Okeleke
Principal Analyst, expert in AI and data managementRelated items
FutureNet World 2024: operators are progressively adopting AI technologies but still face issues with scale
Article
GenAI and the telecoms sector: three GenAI platform implementation strategies
Strategy report
Data, AI/analytics and development tools M&A tracker 2H 2023