The Importance of Big Data Analysis in Industries

When we talk about Big Data, we are referring to an application capable of storing and handling a large volume of data from different sources (in daily life, the most common sources of data are social media, websites and videos). These data have large proportions when applied in an industry, for example.

The tools and technologies that industries are using today are not always the same. However, it is known that the data collected in a productive environment can be extremely valuable if evaluated with attention and speed.

In this article you will understand how Big Data is part of Industry 4.0 and is essential for the evolution of any company. In addition, we discuss the difficulties and benefits of applying Data Analysis and Big Data strategies in industrial environments.

The role of Big Data in Industry 4.0

In Industry 4.0, data is extremely important as it allows other pillars to exist and have their specific functions as well. Together with Big Data, which has the function of enabling the storage and processing of information and data, we have a second pillar of Industry 4.0 called the Internet of Things (IoT).

IoT makes it possible to capture data from different sources that can be processed using a Big Data solution and then used for decision making in the industry. With IoT, huge amounts of data are available to interpret and use. The storage and processing of this data happens through Big Data solutions. The data contained in the storage platforms are used later for industry decision-making.

Putting in a practical example: consider that a product is being manufactured on a large scale and while this happens, the Big Data central is receiving much of the information related to the manufacturing process of this product, such as the data collected by sensors.

In another application, data collection from social media is happening ate the same time. Consumers are writing comments about their preference for the product in a smaller format.

With Big Data, production planners can access industry data as well as social media data to get information and adjust production specifications agile and proactively.

Without the information, you would only understand this consumer preference when your competitor started to make more products in small format and outstrip your industry in terms of sales, or you would simply lose consumers without understanding exactly why.

Following this idea, a new way of making decisions begins to be part of the intelligent industrial environments: data acquisition in high volume, high speed and variety.

The challenges of using Big Data in industries

When deciding to use Big Data technologies in an industry, those responsible for the implementation and subsequent system maintenance have major challenges. However, if these challenges are evaluated and overcome with organization and planning, they become part of a great process of innovation.

1. Quality of collected data

In a process with integration issues, the information may become inconsistent due to the small problems that occur in each process. And when a Big Data strategy begins to be used, it is common that problems, duplications, and errors are found.

With poor quality data, no cloud storage, and no guarantee of reliability, inconsistent reporting and analysis can be generated.

And to avoid this situation, it is important to use a quality system that filters the data and organizes it in a logical way, identifying possible problems before the data is stored.

2. Definition of the Big Data Project

In order to improve industrial processes, to use Big Data is an alternative with many positive aspects. However, for your application to succeed, you need to have a team of people that are responsible for the tool that is being used.

This team will be extremely strategic, and should have the knowledge and expertise to define what information, in what format, is important to the business.

This is necessary because it is not possible to evaluate all the data generated in a complex environment as an industry. It is necessary to define a project with paths so that this information reaches its final destination (reports and decisions) in a satisfactory way.

3. Acceptance of employees

The human being has a tendency to remain comfortable and in a comfort zone. When starting a new project, which will naturally result in changes in the way everyone work and live their routines, managers may need to spend more time on training sessions.

By doing this, all users of the new systems and forms of data collection are aware of their responsibilities and for them to understand which are the positive sides of this change.

4. Skilled workers

When a new tool or process begins to be used, it is essential that more operational operators and employees have complete knowledge and ability to seek for better solutions at all times.

This is not an easy task because many times these employees deal with many people, and conducting training to ensure a homogeneous knowledge is a great challenge. Professionals with knowledge in statistical analysis, data architecture and design, for example, are scarce in the market.

However, it is necessary to organize and invest in the qualification of the professionals so that besides accepting the new format of work given by Big Data, they can also contribute actively in this process.

The 5 Vs of Big Data

Big Data acts by making use of some important pillars, which help us to understand its importance in any productive process.

1. Volume

As already mentioned, Big Data handles with a high volume of data, so that insights and positions are taken based on a lot of information from different sources. To perform a good analysis of the information collected, having a high volume of data is a great advantage.

2. Velocity

As the whole system becomes faster with the use of Big Data, the decision-making processes need to have the same velocity.

3. Variety

During this article we have mentioned different sources of data that may exist; besides it, the data can be obtained in various formats. Imagine an entire industry that produces a product to be offered in supermarkets. The data generated in this chain will come from the production machines, financial transactions, sales, repercussion in social media, among many others.

4. Veracity

This is an essential pillar of Big Data, because in cases where the data generated is not true, or does not really demonstrate the reality of that industry, the whole system loses credibility. Therefore, good planning and design of how the information will be used is very important.

5. Value

Finally, a pillar that is quite controversial in any innovation project. In order to understand the value of Big Data, one must consider it as an investment, so measurement methods should take this into account. The potential of a smart industry that applies Big Data for data analysis is very large, and the value for money needs to be considered as well.

Benefits and advantages of using Big Data in industries

Using Big Data in industries allows a transformation of the different pieces of unique data into knowledge that can be used to improve processes, and consequently products and services.

One big advantage of applying Big Data to production chains is having the power to identify planning errors. Alongside this, industry managers can verify the results at any time, and even make more assertive projections for the future.

Among the benefits of using Big Data in the industries, we highlight 6 below:

1. Velocity for information delivery

With system integration and IoT, large amounts of data are collected. And by using Big Data technology, the velocity in which this information can be accessed and used is much higher.

2. Monitoring of equipment in real time

By receiving information from the equipment used in production, it is possible to identify scenarios that result in production downtimes. Thus, once these scenarios have been defined, preventive rather than corrective intervention becomes practically automatic.

3. Identification of bottlenecks in the productive process

At the same time that information about equipment is collected, the final products can be traced back to the end consumer. This allows a complete analysis of the production process, regardless of the stage in which it is found. And with these data at hand, it is much easier to make accurate interventions to improve the quality of the system as a whole.

4. Fast and correct decision making

There is no argument against data. If you have in front of you data showing that a part or process step is not working well, a decision that is required is quickly and easily made. That is why it is essential that the data is always correct and consistent with reality.

5. Costs reduction

As a consequence of small actions taken in the industry, the positive results are being added and the consequence always ends up being a reduction of costs. These are operational costs, production losses or even consumer complaints.

6. Greater integration among sectors

With the need to cross information from different sources, a natural consequence is an approximation of the different sectors of the industry. Much is expected of multifunctional employees, who are able to carry out projects with people from different areas of the company. With the use of the industry 4.0 and its pillars, there is a great opportunity for the development of these professionals and more and more quality in all internal projects and processes.

Industrial applications of Big Data

As you may be wondering, there are many possibilities of applying Big Data in different industries (health, general services, governments).

Since the start of an industrial operation with Big Data is labor-intensive, the focus of projects should be on options that add value to the business.

Some examples of Big Data application are:

Improvement of manufacturing processes

McKinsey and Company owns a Big Data case in the manufacture of pharmaceuticals. One company used to manufacture vaccines and blood components in 50 to 100% yield range with an identical manufacturing process. By using Big Data, the team was able to segment the manufacturing process and identify a process that affected performance. As a result, it was possible to increase vaccine production by 50%, resulting in savings of $ 5 to $ 10 million per year.

Custom product design

Tata Consultancy Services has one case of a company that has its highest revenue making custom products. From Big Data, this company analyzed customer behaviors and understood how to deliver the goods profitably. In this way the company was able to change its way of manufacturing to lean manufacturing and to understand which products were viable for its production.

Better quality assurance

Intel, a computer processor manufacturer, uses Big Data in its production to optimize the quality process of final products. Initially it would take 19,000 tests for each chip manufactured!

By using Big Data, the company was able to significantly reduce the number of tests to ensure quality, resulting in a saving of $ 3 million in manufacturing costs, which if extended to other production lines could reach $ 30 million.

Supply chain risk management

Another example is to use Big Data to evaluate possible risks, such as delivery of raw materials. From the analysis of data it is possible to understand if there are meteorological problems during the logistics of some raw material, being then possible to estimate delays or better measurement of the final product delivery deadlines.

Consumer focus

Coca Cola is a giant industry that uses Big Data to evaluate its consumers. In a certain country, the company has put on the market a machine of soda that allows the people to make blends of flavors.

That’s how the company collected precious information about the behavior of its customers, creating new flavors like Sprite Cherry and Sprite Cherry Zero.

Industry closer to the final consumer

In the automotive sector there are interesting applications such as a company that produces parts and is able to warn the owner of the car, through IoT and Big Data, that the oil change must be done, for example.

This allows companies to get closer to the people who are using their products in a collaborative way and always improving the consumer experience.


Finally, considering all the benefits and challenges of Big Data, and going through many examples of application of this technology today, one can see that it is a predominant tendency in large industries.

Its use is not simple, but if well executed it has many positive results in the short, medium and long-term.

In order to have space in this new scenario of digital transformation and use of Industry 4.0, Brazilian companies need to be persistent in their plans and carry out a lot of training so that when intelligent processes are happening, it is a more natural adaptation of all people involved.

Are you already paying attention to Big Data tendencies within Industry 4.0? Share your experience in the comments section below!

Comentários 33

  • tinyurl.com11 de fevereiro de 2021 em 23:27

    What’s up mates, how is the whole thing, and what you want
    to say regarding this piece of writing, in my view
    its truly awesome in support of me.

  • http://tinyurl.com3 de fevereiro de 2021 em 04:59

    Hi there to all, it’s genuinely a nice for me to visit this website, it contains useful Information.

  • cheap flights2 de fevereiro de 2021 em 22:22

    My brother suggested I might like this blog. He was once entirely right.

    This post actually made my day. You cann’t imagine simply how so much time I had spent for
    this information! Thank you!

  • link2 de fevereiro de 2021 em 07:37

    Today, while I was at work, my cousin stole my apple ipad and tested to see if it can survive a
    forty foot drop, just so she can be a youtube sensation. My iPad is now broken and she has
    83 views. I know this is totally off topic but I had to share it with

  • Alyssa1 de fevereiro de 2021 em 16:02

    whoah this weblog is fantastic i like studying your articles.
    Keep up the good work! You realize, lots of people are searching round for this info, you could aid them

  • cheap flights1 de fevereiro de 2021 em 11:07

    I’ve been exploring for a little bit for any high-quality articles or blog posts in this kind of house .
    Exploring in Yahoo I finally stumbled upon this web site.
    Reading this information So i am satisfied to show that I’ve
    an incredibly good uncanny feeling I discovered just what I needed.
    I such a lot for sure will make sure to do not overlook this site and give it a look on a continuing basis.

  • cheap flights31 de janeiro de 2021 em 23:00

    Your way of explaining all in this article is really
    nice, all be capable of easily understand it, Thanks a lot.

  • cheap flights31 de janeiro de 2021 em 02:11

    Thank you for another informative blog. The place else could I am getting that type of info
    written in such an ideal method? I have a undertaking that I’m simply now running
    on, and I have been at the look out for such information.

  • Winston29 de janeiro de 2021 em 19:33

    This post is actually a good one it helps new web users,
    who are wishing for blogging.

  • Leonel28 de janeiro de 2021 em 18:14

    Great info. Lucky me I found your site by
    accident (stumbleupon). I’ve book marked it for later!

  • Reggie28 de janeiro de 2021 em 15:26

    I think everything posted was very logical.
    But, what about this? what if you were to create a awesome headline?
    I ain’t saying your information isn’t solid., but what if
    you added something that makes people want more? I mean The Importance of Big Data in Industries – Blog IndustriALL is kinda boring.
    You could peek at Yahoo’s home page and note how they create article headlines to get people to click.
    You might add a video or a related picture or two to get
    people interested about what you’ve got to say. Just my opinion, it might
    bring your website a little bit more interesting.

  • link27 de janeiro de 2021 em 09:35

    An outstanding share! I have just forwarded this onto a coworker who has been conducting
    a little homework on this. And he actually bought me lunch because I found it for him…

    lol. So let me reword this…. Thank YOU for the meal!!
    But yeah, thanks for spending the time to discuss
    this matter here on your internet site.

  • link26 de janeiro de 2021 em 21:04

    I know this web site gives quality dependent posts and other material,
    is there any other site which provides such information in quality?

  • Raymond25 de janeiro de 2021 em 03:38

    I quite like reading a post that will make people think. Also,
    many thanks for allowing me to comment!

  • Chong25 de janeiro de 2021 em 03:09

    Useful info. Fortunate me I found your website by
    chance, and I am surprised why this coincidence did not took place in advance!
    I bookmarked it.

  • link24 de janeiro de 2021 em 18:32

    of course like your website but you have to
    test the spelling on several of your posts. A number of them are
    rife with spelling issues and I in finding it very troublesome to inform the truth on the other hand I’ll certainly
    come back again.

  • Michel24 de janeiro de 2021 em 14:02

    Definitely believe that that you stated. Your favourite justification seemed to be at
    the internet the simplest factor to remember of.
    I say to you, I definitely get annoyed at the same time
    as people think about concerns that they just don’t
    recognize about. You managed to hit the nail upon the top and also defined out the whole thing with no need side effect
    , other folks could take a signal. Will probably be again to get more.

  • Dedra24 de janeiro de 2021 em 09:47

    I have read so many content regarding the blogger lovers however this piece of
    writing is truly a fastidious paragraph, keep it up.

  • Ermelinda19 de janeiro de 2021 em 14:10

    Today, while I was at work, my sister stole my iPad and tested to see if
    it can survive a 40 foot drop, just so she can be a youtube sensation.
    My iPad is now broken and she has 83 views. I know this is completely off topic but I had to share it
    with someone!

  • Dewayne17 de janeiro de 2021 em 02:04

    I am in fact happy to glance at this webpage posts which includes lots of valuable
    facts, thanks for providing these kinds of data.

  • Nicholas13 de janeiro de 2021 em 07:16

    It’s truly very difficult in this full of activity life to listen news
    on TV, therefore I only use the web for that reason, and obtain the most
    up-to-date information.

  • link11 de janeiro de 2021 em 12:25

    Fine way of explaining, and good post to obtain data on the
    topic of my presentation topic, which i am going to convey in university.

  • link10 de janeiro de 2021 em 01:41

    Hello there! Would you mind if I share your blog with my
    facebook group? There’s a lot of folks that I think would really appreciate your content.
    Please let me know. Cheers

  • Neville8 de janeiro de 2021 em 08:59

    It’s really a cool and helpful piece of info.
    I’m happy that you just shared this helpful info with us.
    Please keep us informed like this. Thanks for sharing.

  • atmospheric water generator for sale5 de janeiro de 2021 em 19:24

    Wow! Finally I got a blog from where I be able to actually get useful data regarding my study and knowledge.|

  • the feed26 de dezembro de 2020 em 05:26

    WOW just what I was looking for. Came here by searching for %keyword%|

  • the feed25 de dezembro de 2020 em 15:29

    This piece of writing will assist the internet visitors for setting up new weblog or even a weblog from start to end.|

  • the feed25 de dezembro de 2020 em 00:44

    Hello! I know this is kinda off topic however , I’d figured I’d ask. Would you be interested in trading links or maybe guest authoring a blog article or vice-versa? My website discusses a lot of the same topics as yours and I think we could greatly benefit from each other. If you happen to be interested feel free to shoot me an email. I look forward to hearing from you! Fantastic blog by the way!|

  • thefeed24 de dezembro de 2020 em 07:56

    hello!,I like your writing very much! percentage we be in contact extra approximately your post on AOL? I need an expert in this house to solve my problem. Maybe that is you! Looking forward to see you. |

  • the feed23 de dezembro de 2020 em 03:56

    Hello, just wanted to say, I loved this post. It was helpful. Keep on posting!|

  • berkey28 de novembro de 2020 em 05:16

    Nice post. I used to be checking constantly this blog and I’m impressed! Very helpful information particularly the final part 🙂 I take care of such information much. I was looking for this particular information for a long time. Thanks and good luck. |

  • headlamp waterproof24 de novembro de 2020 em 16:29

    Appreciation to my father who told me on the topic of this
    webpage, this web site is actually awesome.

  • berkey bundle sale14 de novembro de 2020 em 12:48

    I am actually thankful to the owner of this web site who
    has shared this impressive piece of writing at here.

  • Adicionar comentário