Case Study
Achieving 95% less code with semantic SQL queries
Published on 05th January 2022 | By timbr
For
International CPG enterprise
Tags
Virtual Knowledge Graph
Graph Data Management
Data Modeling
Challenges
Unorganized data was at the core of the challenges that the corporate faced. There were three major issues:
Solutions
timbr solved the multi-layered problem by harmonizing the scattered data.
The platforms' distinctive capabilities like Graph Analytics and Ontology Modeling allowed declaring an enterprise-level, overarching ontology that efficiently integrated data models from multiple sources and quickly performed complex graph analytics. SQL queries were easier to write, maintain, and debug, shortening more than 75% of the query length and significantly reduced the technical complexity and delivery time.
Key Metrics
20X
Achieved 20X faster time to value
95%
Achieved 95% less code with semantic SQL queries
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