The client is a national financial services company and part of a large Indian conglomerate. The group operates in consumer goods, appliances, agriculture, and real estate.
The financial services arm focuses on home loans. Its mission is to help citizens achieve home ownership and raise living standards across India.
The company needed accurate data to guide business decisions. Their legacy setup created problems.
Without a unified platform, the company could not get timely insights. They needed:
Teleglobal designed a data analytics platform using AWS services and Snowflake. The architecture streamlined extraction, storage, and reporting.
Business data was captured in real time by the OLTP system. Teleglobal used AWS DMS and AWS Glue to extract and clean the data.
The raw and cleansed data was stored in Amazon S3. This setup created a secure, scalable storage layer. Future machine learning use cases could also pull from this layer.
Cleaned data was moved into Snowflake’s published layer. Snowflake enabled advanced data modelling, faster queries, and integration with reporting tools.
The new solution provided clear business advantages:
The financial services company transformed its analytics with Teleglobal’s solution. Reports that once took hours were now automated. Customer insights became faster and more reliable.
Operating costs fell sharply while data accuracy improved. Decision-makers could now act with confidence, backed by real-time insights.
Teleglobal delivered a stable, scalable data analytics platform with AWS and Snowflake. The solution streamlined data extraction, improved reporting, and cut costs.
With this setup, the client now makes faster, more accurate decisions and offers better services to customers across India.