Nothing has impacted the world of manufacturing as much as Big Data. Big Data, along with Internet of Things, is accelerating the race towards Industry 4.0. While the manufacturing industry has traditionally been good at leveraging data, they are receiving a vast amount of structured and unstructured data. Add to it the challenges that come with increasing production and integrating supply chains, you have a big problem to solve.

Today, manufacturers have a wealth of data coming in from operations and other functions. This data can provide a wealth of information which can be turned into a competitive advantage. You can leverage these insights for increasing product quality, better design, efficient production and improved distribution.

Big Data is rapidly transforming the way companies are building and selling products. It can help industrial businesses become more efficient and increase productivity. Companies have access to tons of data can help manufacturing companies reduce waste and increase yield in production processes. Through advanced analytics, industrial organizations can visualize information, identify patterns and optimize them to improve production quality.

Big Data can be used by manufacturers in the following ways:

Better decisions – Insights revealed through Big Data can help manufacturing companies take better decisions by identifying trends and tackling challenges.

Forecasting – Big Data analytics can be used to forecast demand and production, helping businesses to improve performance.

Real-time Monitoring – Manufactures can have real-time information on various parts of the production process which can be used for optimizing production quality.

Quality Assurance – You can use data to detect errors in the manufacturing process and detect process flaws. Analytics can deliver real-time warning signals which provide quality assurance.

Preventive Maintenance – Through system analysis, manufacturing companies can predict system failures more accurately and employ preventive maintenance. This can significantly reduce the expenditure towards losses and costly repair jobs.

Pricing strategies – Through data from internal and external sources, you can develop pricing models that can increase profits. You can also employ demand forecasting for products at different prices. You can then use these insights to generate accurate pricing strategies.

e-Zest has empowered many companies with Big Data. Through our dedicated Big Data practice, we design and develop customized manufacturing solutions for your business. Partner with us to explore the possibilities of Big Data for your business. We are a Hortonworks Hadoop partner which further strengthens our capabilities towards delivering Big Data solutions.

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