How Big Data Analytics Smoothen Manufacturing Industry?
“As we evolve with the changing technologies, we often see that it's also important to know how they work and why you should start evolving. It's not about profits every time but is about how effectively you use them.”
Previously we looked at industry 4.0, its uses and benefits in manufacturing data platforms. The analysis that all business organizations or manufacturing units think is beneficial along with the new data entities in the field.
Hence, we will see how big data helps manufacturing operations analyze and execute for their betterment.
What Is Big Data In The Manufacturing Process?
Big Data is an exceptionally large data set that one can use for manufacturing. It helps the manufacturing units to collect data at every stage of production, including data from machines, devices, and operators. This data can be either structured or unstructured.
There's a huge hardware requirement and infrastructure to support AI, machine learning, and deep-learning algorithms. In many cases, manufacturing data is stored in data lakes via the cloud and processed on GPU clusters rather than the traditional CPU processors. This is a jargon-y way of saying the quantity of data produced by the modern factory requires updated storage and processing tools to support it.
“The above image tells us about the Data flow and Control flow big data analysis pipeline to Enterprise, control and field level.”
What All Services Or Benefits Do One Get Using Big Data For Manufacturing?
Organizations can use big data analytics systems and software to make data-driven decisions to improve business outcomes. The benefits may include:
- Effective marketing,
- New revenue opportunities
- Customer personalization
- Improvement in operational efficiency
- Faster Integration of Automation
- Predict Machine Failure & Reduce Downtime
- Enhance Product Quality and Cut Costs
- Improved Research
- Increased Competitiveness
“The above mentioned image gives you a brief idea about significant testing and benefits of data driven decision and its outcomes.”
Why Do You Need Big Data Analysis In Manufacturing?
Big data analytics helps manufacturing units and many other businesses to restrain their data and use it to identify new opportunities. It leads to smarter business moves, more efficient operations, higher profits, and happier customers.
This is how one can see the effects or output of using analytics.
“The above image tells us the global analytics in the manufacturing market for the year 2021-2028. It portrays how one can use analytics for future benefits and as the world turns digital what's the growth in the coming years.”
What Are Use Cases?
A use case describes how a person who uses that process or system will accomplish a goal. It's typically associated with software systems, but one can use it for any process.
What Are The Use Cases That Include Big Data For Manufacturing Units?
Some of the use cases for manufacturing include;
Production optimization
(few examples below)
- Extracting process improvement
- Chemical yield perfection
- Vaccine yield improvement
- Sugar-sweet optimization
Quality assurance
(few examples below)
- Early-stage vehicle quality assurance
- Jet engine design
Enterprise management
- Data-driven enterprise growth
- Accessible raw materials
- Predictive maintenance
After-sales
- Connected car vehicles
- Hull cleaning
- Wind farm optimization
Conclusion:
The world is evolving and so is manufacturing technology. Simultaneously, the global big data analytics in manufacturing market is growing at a considerable pace.
So, for a manufacturing company, it is necessary to implement big data analytics to enable smarter business moves, more efficient operations, higher profits, and happier customers.
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