{"id":1693,"date":"2021-02-12T11:58:04","date_gmt":"2021-02-12T11:58:04","guid":{"rendered":"https:\/\/www.aeologic.com\/blog\/?p=1693"},"modified":"2021-04-06T09:54:33","modified_gmt":"2021-04-06T09:54:33","slug":"the-use-of-big-data-in-manufacturing-industry","status":"publish","type":"post","link":"https:\/\/www.aeologic.com\/blog\/the-use-of-big-data-in-manufacturing-industry\/","title":{"rendered":"The Use of Big Data In Manufacturing Industry"},"content":{"rendered":"

Approximately 40 exabytes of data is generated every month by a single smartphone user that could be in the form of texts, phone calls, emails, photos, video searches, and music.\u00a0Imagine this number gets multiplied by 3.5 billion smartphone users, that\u2019s a lot of numbers for a mind to process, isn\u2019t it?<\/p>\n

This colossal amount of data is utterly impossible for the traditional computing system to handle as well. Thus this gigantic amount of data is what we term as \u2018Big Data\u2019. With the rise of the internet in the early 1990s, some of the world\u2019s brightest minds began theorizing about data. But in 1999, the term \u201cBig Data\u201d was first published.<\/p>\n

The reason why big data gained so immense popularity that too in a very short time is that the professionals who work with big data know exactly how much beneficial it is for their businesses.\u00a0In order to manage the surplus amount of data or to use it to transform their operations, the use of big data is a must.<\/p>\n

Reason for this massive amount of data<\/strong><\/h2>\n

Earlier the purpose of the phone was calling, messaging, and sometimes clicking pictures. But with the upgrade of technologies, a single smartphone is now a hub of applications for music, sport, social media platforms, and many more.<\/p>\n

The Fact:<\/strong><\/p>\n

It is a fluctuating figure, the approximate number of data that gets generated per minute.<\/p>\n\n\n\n\n\n\n\n\n
Platform<\/strong><\/td>\nData<\/strong><\/td>\n<\/tr>\n
Snapchat<\/td>\nMore than 3.1 million snaps<\/td>\n<\/tr>\n
Google<\/td>\nMore than 4.8 million searches<\/td>\n<\/tr>\n
Facebook<\/td>\nMore than 2 million login<\/td>\n<\/tr>\n
YouTube<\/td>\nMore than 5.5 million searches<\/td>\n<\/tr>\n
Email<\/td>\nMore than 200 million<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Why the use of\u00a0 Big Data is getting so much attention?<\/strong><\/h3>\n

T<\/u><\/strong>he reason why big data gained so immense popularity that too in a very short time is that the professionals who work with big data know exactly how much beneficial it is for their businesses.<\/p>\n

\u201cAs per one statistics by 2020 1.7 megabytes of data had been created every second by each human\u201d<\/strong><\/p>\n

Companies found it a golden opportunity to capture the data that streams into their businesses, hence they can apply the analytics and get noteworthy results from it too with better speed and efficiency. The uses of big data are getting so much attention because of the fact that it is helping in leveraging the benefits from data which allows in predicting the future need, The facts are accurate as it is created by analyzing the patterns and trends.<\/p>\n

Thus the companies should give immediate attention to big data as such essential data can\u2019t be just thrown away. That too after knowing that it has the capability to give massive profit to the businesses.<\/p>\n

Manufacturing<\/strong><\/p>\n

Processing large quantities of raw material into a final product of more value is termed manufacturing.<\/p>\n

The manufacturing industry is the backbone of any economy. Hence one always looks up to increase its efficiency.<\/p>\n

Use Of Big Data In the Manufacturing Industry<\/strong><\/p>\n

Over the past several years use of big data in manufacturing is increasing at a rapid pace. Manufacturers are increasingly relying on big data for decision-making. The objective to this is quite simply the big data enables the manufactures in the following ways to increase their efficiency in manufacturing:<\/p>\n

Significant analytics of the quality of the product<\/strong><\/p>\n

The quality of the products is a priority for every manufacturer out there. In order to maintain and enhance the quality of the product, the product goes through testing.<\/p>\n

Sometimes a single product is tested hundreds or even thousands of times this number can be dramatically reduced through pattern recognition and analysis of big data. One of the reasons why the use of big data came to the mainstream and limelight is because it possesses the characteristics of analyzing the data in a huge volume.\u00a0The quality of the product may also vary if the analytics of the products are not extracted in a momentary way lead to the squander for the business.\u00a0Thus the speed at which the data is coming into the system.<\/p>\n

The use of Big data enables the manufactures with the optimum and accurate analytics that will determine the numbers and types of testing that are essentials. Thus, big data enables in analysis and identification of the defects if any, resulting in reducing the time and money spent on adjustments of processes and procedures.<\/p>\n

Tracking<\/strong><\/p>\n

\u00a0<\/strong>The impacts of big data in the manufacturing industry are worthwhile.\u00a0\u00a0It enables the manufacturers to maintain and enhance the quality and quantity of products. The data warehouses use big data tools to remove some of their burdens. For instance, even the healthcare industry is looking for patterns and treatment that leads to the best outcomes for patients.<\/p>\n

In an enterprise competition, the one is ahead of the other who knows what to, when to and how to takes steps strategically in such a way that accuracy to succeed is near to 100%. With the use of big data, enterprises can raise the mark of their efficiency as real-time tracking can be done which results in predicting the future in terms of their products and services. It enables the manufacturers to track and assess the data from their production lines not only on a daily basis but also in real-time. The use of big data in daily activities will lead to enhancing the growth opportunities of the industry.<\/p>\n

Better insights enable better comparison<\/strong><\/p>\n

One of the popular use cases of big data is IoT (Internet Of Things). Sensors are used to collect the data that can be analyzed to achieve an eminence insight, tracking customers or product movement, etc. In order to enhance customer services, many enterprises are creating dashboard applications that provide a 360-degree view of the data from a variety of sources, probing it to offer better customer services.<\/p>\n

The detailed insights into the production, quality of products, and life of machinery are accessible to manufacturers. It also makes it possible a quick comparison of production among different sites and identifies the reason for any differences.<\/p>\n

It leads to helping the manufacturers to deal with \u2018what if\u201d scenarios in the market and to precalculate the outcome. Through better insights, big data<\/a> enables better decision making such as when, where, and why. That could be regarding new factories need to open or the product needs to relocate or need to be discontinued.<\/p>\n

Enhancement in the maintenance<\/strong><\/h3>\n

\u201cIn the body like business machinery plays the role of the backbone.\u201d<\/strong><\/p>\n

One of the biggest challenges of big data is storing and processing the data at a specified time span. When it comes to optimizing the efficiency of the business the maintenance of the machinery can not be avoided. The traditional approach is not efficient enough to process the data at a faster time.<\/p>\n

Hence, Hadoop technology and various big data tools have emerged to solve the challenges faced by big data. There are various big data tools that enable the user in saving time, money and uncovering business insights. Big data enables the manufacturers to analyze and collect the operational data of the machinery too in real-time. Real-time analysis is beneficial in order to avoid gratuitous measures to maintain the machinery. This eliminates the downtime and cost associated with warranties.<\/p>\n

With the use of big data, the manufacturer will get the data about the machinery which needs to be replaced. This analysis can avoid a sudden failure of the machinery that might cripple the business without any warning.<\/p>\n

Conclusion<\/h3>\n

To conclude we can say that big data make difficult things easier. The analytics can help in boosting the manufacturing efficiency prominently, allows better decision making to provide the solution to those seeking a competitive advantage, and by integrating and managing essential data manufacturers can increase the profits and improve operational efficiency.<\/p>\n","protected":false},"excerpt":{"rendered":"

Approximately 40 exabytes of data is generated every month by a single smartphone user that could be in the form of texts, phone calls, emails, photos, video searches, and music.\u00a0Imagine this number gets multiplied by 3.5 billion smartphone users, that\u2019s a lot of numbers for a mind to process, isn\u2019t it? This colossal amount of data is utterly impossible for the traditional computing system to handle as well. Thus this gigantic amount of data is what we term as \u2018Big Data\u2019. With the rise of the internet in the early 1990s, some of the world\u2019s brightest minds began theorizing about data. But in 1999, the term \u201cBig Data\u201d was first published. The reason why big data gained so immense popularity that too in a very short time is that the professionals who work with big data know exactly how much beneficial it is for their businesses.\u00a0In order to manage the surplus amount of data or to use it to transform their operations, the use of big data is a must. Reason for this massive amount of data Earlier the purpose of the phone was calling, messaging, and sometimes clicking pictures. But with the upgrade of technologies, a single smartphone is now a hub of applications for music, sport, social media platforms, and many more. The Fact: It is a fluctuating figure, the approximate number of data that gets generated per minute. Platform Data Snapchat More than 3.1 million snaps Google More than 4.8 million searches Facebook More than 2 million login YouTube More than 5.5 million searches Email More than 200 million Why the use of\u00a0 Big Data is getting so much attention? The reason why big data gained so immense popularity that too in a very short time is that the professionals who work with big data know exactly how much beneficial it is for their businesses. \u201cAs per one statistics by 2020 1.7 megabytes of data had been created every second by each human\u201d Companies found it a golden opportunity to capture the data that streams into their businesses, hence they can apply the analytics and get noteworthy results from it too with better speed and efficiency. The uses of big data are getting so much attention because of the fact that it is helping in leveraging the benefits from data which allows in predicting the future need, The facts are accurate as it is created by analyzing the patterns and trends. Thus the companies should give immediate attention to big data as such essential data can\u2019t be just thrown away. That too after knowing that it has the capability to give massive profit to the businesses. Manufacturing Processing large quantities of raw material into a final product of more value is termed manufacturing. The manufacturing industry is the backbone of any economy. Hence one always looks up to increase its efficiency. Use Of Big Data In the Manufacturing Industry Over the past several years use of big data in manufacturing is increasing at a rapid pace. Manufacturers are increasingly relying on big data for decision-making. The objective to this is quite simply the big data enables the manufactures in the following ways to increase their efficiency in manufacturing: Significant analytics of the quality of the product The quality of the products is a priority for every manufacturer out there. In order to maintain and enhance the quality of the product, the product goes through testing. Sometimes a single product is tested hundreds or even thousands of times this number can be dramatically reduced through pattern recognition and analysis of big data. One of the reasons why the use of big data came to the mainstream and limelight is because it possesses the characteristics of analyzing the data in a huge volume.\u00a0The quality of the product may also vary if the analytics of the products are not extracted in a momentary way lead to the squander for the business.\u00a0Thus the speed at which the data is coming into the system. The use of Big data enables the manufactures with the optimum and accurate analytics that will determine the numbers and types of testing that are essentials. Thus, big data enables in analysis and identification of the defects if any, resulting in reducing the time and money spent on adjustments of processes and procedures. Tracking \u00a0The impacts of big data in the manufacturing industry are worthwhile.\u00a0\u00a0It enables the manufacturers to maintain and enhance the quality and quantity of products. The data warehouses use big data tools to remove some of their burdens. For instance, even the healthcare industry is looking for patterns and treatment that leads to the best outcomes for patients. In an enterprise competition, the one is ahead of the other who knows what to, when to and how to takes steps strategically in such a way that accuracy to succeed is near to 100%. With the use of big data, enterprises can raise the mark of their efficiency as real-time tracking can be done which results in predicting the future in terms of their products and services. It enables the manufacturers to track and assess the data from their production lines not only on a daily basis but also in real-time. The use of big data in daily activities will lead to enhancing the growth opportunities of the industry. Better insights enable better comparison One of the popular use cases of big data is IoT (Internet Of Things). Sensors are used to collect the data that can be analyzed to achieve an eminence insight, tracking customers or product movement, etc. In order to enhance customer services, many enterprises are creating dashboard applications that provide a 360-degree view of the data from a variety of sources, probing it to offer better customer services. The detailed insights into the production, quality of products, and life of machinery are accessible to manufacturers. It also makes it possible a quick comparison of production among different sites and identifies the reason for any differences. It leads to helping the manufacturers […]<\/p>\n","protected":false},"author":3,"featured_media":1695,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[74,143],"tags":[],"class_list":["post-1693","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-manufacturing"],"yoast_head":"\nThe Use of Big Data In Manufacturing Industry - AeoLogic Blog<\/title>\n<meta name=\"description\" content=\"This analysis can avoid a sudden failure of the machinery that might cripple the business without any warning.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.aeologic.com\/blog\/the-use-of-big-data-in-manufacturing-industry\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Use of Big Data In Manufacturing Industry - 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