Ken Tran, a consultant at Stellar is currently working on a support role with one of our utility customers. He ensures the current Business Intelligence (BI) system remains available for business-as-usual.
He also takes part in enhancement work that further improves BI’s usability. Recently he has integrated a new data feed of call detail record (CDR) into BI at the half-hourly interval, to enable near-real-time analysis. This requires a new mechanism that provides robust and efficient data loading.
When a single view of data can become challenging
This customer has been embracing self-service BI for a long time. They have a great team of data analysts with great technical skills.
However, collaboration and sharing a single view of data can become challenging. Especially when you have terabytes of data and the market is changing every day.
Business intelligence system foundation
Stellar laid the foundation of a business intelligence system. It enables teams to fully utilise their data, not only to support robust reporting but to answer business questions in a fast-paced environment. Ken and the team brought several data sources into the data warehouse at different intervals, from half-hourly to daily. Then they streamline them into different schemas to serve different purposes. For example, analysis teams often use the Corporate Memory Layer (ODW) schema for all source-specific reporting. This is probably one of the most favourite starting places for ad-hoc reporting needs. Besides, there is the Architecture Data Marts (ADW) layer. It is consumed by Oracle BI services, based on the classic star schema in data warehouse design.
With a robust design, the data analysis team can utilise their skills to extract the answers they need from a resilient and efficient system. “Ken is great to deal with. He is thorough, asks good questions and turns things around fast,” says the client’s Data and Information Manager.
Come speak to us if you have questions regarding your data and analytics platform. We would be happy to help you.
