Introduced in 2010, Big Data has quickly revolutionized the professional world. According to an IDC study, the corporate Big Data market has grown from €285 million in 2014 to €652 million in 2018. We can therefore see an evolution of 129% on a global scale! Of the 200 companies surveyed by the study, 41% of them noted the importance of implementing a tool using Big Data.
Faced with this challenge, more and more companies are collecting and analyzing large amounts of data, taking advantage of Big Data, regardless of the field of application. While its current use revolves around issues such as event prediction and process optimization, we now know that Big Data will change everything. We just don’t know yet how much and when.
5 minutes to comprehend Big Data
Big Data has “data” in it. Data is a term for data circulating within a computer network. They have three types of sources:
- Data collected by companies
- The so-called self-generated data
- Open-data data
Companies generate a large amount of internal data provided by customers or by their activities. These are recovered by many tools and devices. They can be solutions that digitize data entered manually in the field (for example, the Kizeo Forms tool), or automatic devices (cameras, sensors, detectors based on specific criteria).
The so-called self-generated data represents all the textual data written by users visiting forums, social networks or even articles. Open-data data refers to all data made available on the Internet, published freely by private and public bodies.
Big Data, which is often referred to as “megadata“, represents an immense amount of data that a human brain cannot use. Only a machine is capable of cross-checking and analyzing this data to produce workable information. Thus, companies covet this information economy: recovering data, storing and analyzing it to predict an event or optimize a process.
Capturing data with Kizeo Forms
For companies, a good way to acquire data is to exploit their activities. This can involve the use of equipment (cameras, sensors, etc…) and solutions for digitalisation of field activities. When a company tries to draw a conclusion by analyzing certain criteria of its activity, it can use the Kizeo Forms application. Thus, employees will enter data on the field, directly on mobile phones or tablets, which will be instantly transmitted and stored. Kizeo Forms allows, via its API, to link the transmitted data to a Big Data analysis tool. It would be sufficient to use a Big Data operating system with an API to link it to the functionalities of Kizeo Forms. The data collected in the field can be analyzed to observe key outcomes. These may include findings on what to optimize and how to improve your activities significantly.
For an analysis tool, for Big Data to be effective, a large amount of data is required. If a company does not have one, it can integrate an internal data capture solution such as Kizeo Forms. Thus, after a few months, the amount of data accumulated should be large enough. The capture of internal data offers new perspectives. Big Data is therefore becoming a topic to consider for companies of all sizes and in all sectors.
In the professional world, Big Data is a decision-making resource. The fields of application of Big Data are so numerous that it is now difficult to appreciate its scope.
Among these areas, some have already found ways to use Big Data:
- For marketing, there are two ways of using Big Data: real-time behavioral analysis and segment-based analysis to target or identify new prospects.
- Production uses Big Data for predictive analysis. For example, by cross-referencing data collected on machines throughout a manufacturing process, it becomes possible to analyze and correct factors that affect the quality of a component.
- In the field of research, Big Data finds its place by confronting, linking, analyzing, hypothesizing and drawing conclusions that a human mind would not have been able to produce with a large amount of information.
- In the agricultural industry, Big Data mainly impacts certain sectors. The discovery of new seeds with the study of the plant genome. The development of precision agriculture. Food tracking to prevent waste and contamination through the use of sensors and analytical tools. And finally the logistics of seeds, crops and food.
- In the transport sector, Big Data is used to understand, plan, investigate and optimize. This makes it possible, among other things, to analyse and anticipate congestion phenomena, to define more appropriate offers, to adapt to users’ needs and to find the most efficient routes.
Big Data in the future
We can be sure that Big Data will play a role in the future. Especially because the web is full of self-service tools. Analytical technologies, on the other hand, are struggling to achieve similar effectiveness. With the rate of data generation observed today, data cleaning is becoming more industrialized. Finally, there is a trend towards the democratization of databases, as it is beneficial for all to share private and public information.
Whatever the sector of activity, the resources, the size of the structure or the projects, there is a significant interest in considering the integration of Big Data analysis tools in each of your business areas right now. It is very likely that this decision will radically change the way the business is conceived, while opening it up to new perspectives for the future.
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