Case Study: NTT Docomo achieves 90% faster data analysis and improved productivity with Databricks

Improving team productivity for a more connected future

NTT DOCOMO, one of Japan’s leading mobile operators, wanted to improve employee productivity by expanding use of its internal LLM value-added platform for GenAI, but uneven adoption and growing log volumes made it hard to track usage, maintain data quality, and protect sensitive information. To address this, NTT DOCOMO chose Databricks and the Databricks Data Intelligence Platform to analyze user activity more effectively.

With Databricks, NTT DOCOMO automated manual log processing and enabled secure, scalable analysis of large datasets, helping teams make better decisions about platform improvements. The result was a 90% reduction in time spent manually processing and analyzing data, alongside smoother dashboard development and more reliable insights for functional and performance tuning.

NTT Docomo

Issei Nakamura

Assistant Manager, Service Innovation Department