Big Data

Big data are very large and complex volumes of data, that exceed the traditional technologies capabilities of data management and analysis. These data are represented by three principals factors, known as 3V:

• Volume: big data involve large amounts of data. They can come from different sources, like sensors, social media, mobile devices, business transactions and more. The scale can be so much big that the traditional data management methods are inefficient.
• Velocity: the information can be generated at a very high rate. For example, real-time data flows from IoT (Internet of Things) sensors or social media feed can be upgraded quickly and require instant analysis to extract value from them.
• Variety: big data can be in many different types and formats. These data can be structured (like traditional database), semi-structured or unstructured (like text, images, video). Data variety can make the analysis more complex.

Before proceeding any further, it should be explained that the term IIoT (industrial internet of things) is often encountered in the manufacturing industries, referring to the industrial subset of the IoT. IIoT is one of main pillars of the fourth industrial revolution, so the so-called Industry 4.0 (read more: Industry 4.0).

As well as Internet of Things (IoT) is changing everyday life, Industrial Internet of Things (IIoT) is changing your business. Take advantage of IIoT benefits to improve efficiency of your production plants. With smart TAGs such RFID, smart cameras and smart sensors, you will know every detail of your company without losing the big picture that drives your business to success.

Big DATA what they are used for

Big data is used to gain important information and make better decisions in various areas, like:

• Technology innovation: companies use them to develop new technologies, like Artificial Intelligence and Machine Learning, that can be trained on huge amounts of data for improving performance and effectiveness.
• Science research: they are employed in many scientific disciplines, like particle physics and genetics, for analysing huge quantities of data and for discovering new phenomena or relationships.
• Business and Marketing: they are used also to better understand their clients, to identify trend mark and to adapt their marketing strategies. The companies can discover which products are most popular based on customers' buying habits.

So big data allow the possibility to take advantage of an information wealth that would otherwise be too large and complex to process. From the analysis of these data, it is possible to discover hidden trends, obtain clear vision about different situations and make data-driven decisions that can have a significant effect in several areas.

The benefits of Data Analysis

The benefits arising from using big data are multiple and they can have a positive effect on different aspects of society and economy. Here you can find some main advantages:

► Improved decision making: big data analytics enables efficiency strategies to make decisions based on hard data instead of hunches or assumptions.

► Innovation: big data provides a basis for innovation. Huge quantity of data analysis can create new ideas, products and services that respond to emerging needs.

► Working efficiency improvement: in industries like logistics, manufacturing and transportation, the big data use can improve production process, optimizing the resources and reducing wastes.

► Customization: data analysis can help to well understand customers personal preferences and to offer products or custom services.

► Reducing costs: operations optimization and inefficiency prevention can reduce working costs.

In general, big data allow to acquire a better understanding and an usage much intelligence of available information, helping to improve efficiency, innovation and decisions quality in a wide range of industries.

The solution

For more than 20 years, we have been working side by side with engineers and scientists, and we know how to measure, process, and enhance the acquired data.

Our software tools capture the right information within production facilities and help our clients implement a winning strategy with a competitive advantage over their competitors. Read more about our success stories.

Read more about our case studies ⇒ Click here

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