Driving Analytical Advancements and Scalability for a Manufacturing company using Microsoft Azure and Power BI.
The client, a constituent of a prominent global conglomerate included in the Fortune 500, stands as a leading player in the global chemical industry. With several manufacturing facilities located in India, Asia, and Europe, the company is supported by a workforce exceeding 2,000 employees. Their reach extends to customers in over 80 countries, solidifying their reputation and presence on the global stage.
Challenges
- Need of a customized analytics framework, for connecting, aggregating and analyzing their data with complex data visualization and built-in AI capabilities
- Streamlining Analytics and visualization for Sales and Finance
Solution
Data was collected at a standard location, cleaned, and processed using Azure Data Factory. It was migrated from the source systems into Azure Data Lake Store by using Azure Data Factory.
The Integration Runtime (IR) was hosted on a Virtual Machine within the private network. This was used for data flow between On-Prem and Cloud. Microsoft’s IR enabled the secure transfer of data from on-premises to the cloud over an express route.
Unstructured/raw data was stored in Azure Data Lake Storage Gen2. The data was further traversed through Azure SQL Managed Instance. The data models/business logics were implemented on Azure SQL Managed Instances which served as the central repository for the organization’s data. Power BI integration enabled dashboard/report publishing across the enterprise.
Business Impacts
- Data management effort reduced by 50%
- All data handled in a central Hub
- Clients team access to insights and data through the organization