Learning case studies from the manufacturing industry
Data and statistical analysis help manufacturing organizations make accurate decisions and streamline processes. This makes manufacturing processes become more efficient and prevents unwanted losses for the organizations.
Case study 1 – leading automobile manufacturing company
An organization was looking for a cloud-scale analytics platform to support growing online analytical processing (OLAP) requirements, a modernized visualization capability to support business intelligence needs, and advanced analytical and artificial intelligence (AI) solutions for existing data.
The proposed solution architecture was as follows:
- Data from the Oracle database and flat files was extracted using Azure Data Factory and loaded into Azure Data Lake.
- Azure Databricks was used to transform the historical data. Then, the data would be loaded into the Azure Synapse Data Warehouse.
- A lead scoring system was built using...
