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When most people think of Big Data and Analytics in the business world, their minds jump instantly to e-commerce, websites and social media. But the truth is that Big Data changes things offline as well. Just look at the manufacturing.
How Big Data Analytics are Changing Manufacturing?
Manufacturing space has always been very competitive, but things have become hotter in recent years. Innovative technologies have increased the productive capacity of large firms Microstrategy Consultant in Saudi Arabia, making smaller organizations wonder how to continue to grow and compete in an equal field.
Manufacturers and companies in the process industries produce huge amounts of data, yet very few of them are used. Over the years, most manufacturers have lagged in their IT capabilities and have cost them.
1: Improved Strategic Decision Making
At the end of the day, BI Consultant in Saudi Arabia Big data analytics help manufacturers make strategic decisions. In other words, there is less guesswork and more implementation.
When it comes to empowering your organization, you have a variety of Big data analytics tools to choose from, including data cleaning tools, profiling tools, data mining tools, data drawing tools, data analysis platforms, data visualization resources, And more.
2: Performance Analyses
It’s easy to assume that everything works correctly, but there is a big difference between working 80 percent versus 95 percent. Big data allows companies to analyze performance and make changes based on required production levels.
Take the industrial manipulator as an example. Until recently, many companies have used one-size-fits-all products, but this is changing. Using Tableau Consultant in Saudi Arabia data and analytics, they can buy unique manipulators designed specifically for specific functions. This results in much higher productivity and performance.
3: Predictive Maintenance
Predictive maintenance has the potential to save manufacturers millions of dollars throughout the year, prolonging the life of equipment and ensuring efficient operations. Thanks to the growth of Big data platforms, it is easier and more cost-effective to gather these ideas.
4: Decrease in Downtime
There are a few more expensive things for the manufacturer than downtime. In some industries, it can cost thousands of dollars per minute and millions of dollars a year. With the right systems – Big data systems – these organizations can significantly reduce downtime and ensure higher productivity.
In addition to strengthening the bottom line, low downtime improves operational efficiency, reduces stress, strengthens brand loyalty, and allows innovation and creativity.
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