Dalmia Cement Benefited from AWS Deployment

Dalmia Cement (Bharat) Limited (DCBL), a subsidiary of Dalmia Bharat Limited, is a leading player in the cement manufacturing segment and has been in existence since 1939. Dalmia Cement (Bharat) Ltd. has grown its cement capacity from 1.6 MTPA to 30.75 MTPA in the last 14 years and they are also the fourth largest manufacturing capacity in India. Spread across nine states and 13 manufacturing units, the company is a category leader in super-specialty cement used for oil well, railway sleepers, and air strips and is the country’s largest producer of slag cement.

01. How Dalmia Cement (Bharat) Ltd. Benefited from AWS Deployment

" The company now has visibility into all aspects of manufacturing, procurement and dealer network, accruing immense benefits in terms of efficiencies, cost-savings and reduction of carbon footprint. "

02. Why Dalmia Cement (Bharat) Ltd. Needed Big Data Solutions

The cement manufacturing giant faced a lack of visibility into operations that affected the optimum utilisation of capacity, resulting in higher costs and misdirection. They have manufacturing plants at distant locations and transport large amounts of material inputs that are stored at optimum temperatures. They needed efficiency in managing and incentivising dealers and must maintain momentum in the chain of operations.

Besides operational requirements, they required a proper data repository, automated data extraction, and reporting which can speed up the time taken for analytics, and lead to faster decision making.

03.AWS Data Lake for Dalmia Cement (Bharat) Ltd.

Most of Dalmia Cement’s data was in silos, and the Data Lake solution first enabled data ingestion from multiple sources such as their analytics application, human capital management system, logistics management system, market mapping portal, mobility database, flat files and Excel into a single reservoir. AWS S3, Glue and Redshift were then used to facilitate data processing, analysis and visualisation.

The Data Lake framework enables data consolidation of hundreds of tables in the central repository and ingestion. Data is then cleaned and stored for business users to readily access and read via QlikView visualisation tool using AWS Redshift. The Data ingestion and transformation framework is a fully automated system from all data sources in the company based on PySpark for batch ingestion including RDBMS and AWS S3.