Client: A US-based manufacturer in the consumer goods and industrial manufacturing section
Problem: The client manufactures thousands of products with a diverse reach in the consumer goods section, while also producing important parts for other industries. With the huge number of products, the client produces high-volume of data. This data stream is extremely large, and it makes it hard for the client to process and analyze the data for real time insights. Even when the data is utilized by the client’s analysts, it needs to be processed and cleaned delaying the time it takes for them to go from data to actionable insights. The client wants a solution that can streamline the analytical process and improve overall efficiency for the analytical process.
VT’s solution: We created reliable pipelines for our client, that would perform the various steps required for data ingestion and data processing. Providing a processed, cleansed, and validated set of data, providing easy to operate on data, simplifying the analytical process. We also implemented a data storage solution that allowed for fast retrieval of the various kinds of metrics and data, enabling faster access to the processed data.
Key points:
- Achieved client’s business objectives by streamlining the analytical process, introducing automation, and providing easy to retrieve data for their analysts, while reducing time spent on the average analytical process.
- Provided an end-to-end implementation for the data engineering process, from automation through data pipelines to modern data storage solution to easily store and access data, handling large volume data streams to create easy to access processed data for analytics.
