Just like any other business, a manufacturing business is just as successful as its management. The management overlooks various operations and strives to make sure that everything runs smoothly. Big Data adoption can improve enterprise management in different ways.

Enterprise Growth: Data-Driven

Global challenges in development can be tackled by manufacturing companies using Big Data capabilities. Decisions related to the opening of new factories and transferring production to new locations can be easily made with the help of Big Data adoption. External and historical data of the company can be used in data analysis to determine if it would be profitable to continue running the factory in the same location or to transfer the operations to another location. Predictive models can be created which allow what-if situations to be analyzed for the best results. Moreover, if used to its full potential through increased Big Data adoption, it has the potential to explore unseen opportunities that might have gone unnoticed such as penetration into new markets or offering novel products. 

Raw Materials Accessibility

Supply chain failures can be a disaster for businesses. Such failures only increase the cost of production. However, these costs can be avoided if the business is better able to manage the delivery of raw materials required. Traffic and weather data, including route details of suppliers, can be used by manufacturers to identify delivery delays and their probability. There are plenty of external sources that can be used for collecting data. 

Predictive analytics can be used to improve raw materials accessibility. Delays in the delivery of raw materials, shortages, stock-outs, and their costs can be calculated using Big Data tools. This allows businesses to create an emergency plan to ensure supply is guaranteed at all times. Thus, production will continue to run uninterrupted. This will significantly reduce excessive costs related to downtime.

Predictive Maintenance

Maintenance of the factory and all equipment is one of the responsibilities of management. Big Data adoption can make maintenance easy. There are many Big Data tools that can be used. These make use of data for visualization, fault detection, and pattern recognition. The analysis provides engineers with the information needed to look at the tendencies which require immediate attention and even determine the actions which are required to avoid any serious breakdown in the factory. Reaction time is significantly reduced with the help of predictive maintenance. This will reduce costs related to shutting down.

The right approach is required to ensure Big Data adoption is effective. The first thing that you need to do is have the groundwork in place. Business-IT collaboration is possible with the help of the following steps. 

• The first step requires businesses to look at the business strategy and to understand the goals which can be achieved using Big Data.
• To successfully adopt Big Data, you need to gather more details about the manufacturing needs and problems of the business. Engineering management is one of the best ways to determine them. Understand how the quality improvement process operates. Big Data analytics helps identify if there are any issues in the process.
• Make sure to have the engineering team get involved in Big Data adoption for the best results. They will provide all the details required for setting it up.

We at NextBee will help you with all this and more. Let’s talk to understand how we can help you.