Manufacturing is a highly volatile and competitive industry. While this sector has witnessed optimized efficiency by incorporating revolutionized machinery and hardware, many divisions are yet to reengineer their data library with an automated and AI-powered data management system. By embedding a core competent data management system with customized Data integration, Data warehouse, Data Quality and master data management solutions, the enterprise can establish a more accurate data strategy and plans to maximize performance, production, and profitability and reduce waste as well.

Like any other industry, digital transformation and the IoT resulted in the abundant procurement of unstructured digital assets from customers, vendors, products and manufacturing. While this data holds paramount importance, it is crucial to verify the source of the data, cleanse, segment and ensure the right data is readily available for the execution of working operations. Data Management tools can meet these challenges and enhance the data quality.

Below are some of the ways in which a systematic data management framework supports the manufacturing domain.

  • The main scope of Data Management in the manufacturing sector is to forecast the product demand in the market, analyze the current production capacity and project a model that accurately meets the supply-demand chain.
  • The right data management framework in place filters out incorrect data, removes duplicate and irrelevant data and pre-processes it to meet the standard data quality. With this reliable data, the manufacturing domain can reduce significant time consumption in data reimaging and achieve more room for operational efficiency.
  • An intuitive Data management framework accounts for the precise analysis of production and labor trends, monitoring unit maintenance requirements, rectifying quality issues, minimizing operational downtime, keeping track of customer behavior changes and minimizing business risks.
  • Different manufacturing divisions maintain discrete data sets. A Master data management bridge the gap between these disconnected departments to create a centralized data storage system and facilitate easy collaboration among them. By having a single source of data library, data backup becomes safe and hassle-free.
  • An established data management program eliminates manual intervention by automating several daily operations.
  • The Data Management tools capture up-to-date and real-time customer feedback which is a key differentiator in product manufacturing. This data-driven report helps in  identifying the opportunities for product improvement and taking quick and accurate business initiatives. 

Digital transformation has modernized the way data is managed in the manufacturing industry. As a part of the overall digital transformation, AI/ML enabled intelligent data management tools have been a bespoke solution.