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In recent years, data has had a huge influence on the corporate sector in general, and that's when Big Data really started to become significant. This is mainly due to the ease of obtaining it and the greater possibility of specific analyses of certain information.
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What is Big Data?
The concept of Big Data itself is relatively simple. Think off page seo service about all the information, data, numbers, statistics, emails, names and everything else that is being generated right now. It doesn't matter if it is structured, filtered or not.
This is the entire volume of data that is generated every second, usually focused on companies. And so, you already understand that this cannot be exactly a new concept, after all, we have been generating data since practically forever.
There is a study by Cisco from 2016 that estimates that annually, on average, we go from data traffic of one zettabyte. That is, more than 1000 raised to the seventh power in number of bytes. That is a lot.
However, we need to go a little deeper to explain what Big Data is today. After all, due to the importance of data today, the concept is no longer just about the volume of data itself, and now involves details more focused on analysis and interpretation.
What is Big Data for today's corporate world?
With the expansion in the use and analysis of data, which provided new paths for areas such as BI and Data Science in general, Big Data began to be inserted into the corporate context in a more specific way.
One of the new influences involves the application of the “3 Vs” concept:
volume: basically, the amount of data obtained through different sources and channels, including sensors and financial operations, which involve contact between different machines and systems;
variety: the term “data” is extremely broad, and as mentioned above, it encompasses both structured information (numerical, statistical) and unstructured information (documents, music, movies, financial transaction histories). This complexity of formats is considered variety, and the more complex it is, the greater the chance of leading to effective results in the use of data;
speed: the speed at which information is transmitted and processed. Processing must be agile, as much data can quickly become obsolete and may lose its potential to become relevant insights.
Given these concepts, we can talk about how to use Big Data in your daily business life.
How to use it in practice?
It is important to understand that the main function of this huge volume of data for your company is, of course, to generate insights to improve decision-making. This can involve several aspects. Here are some:
Business Intelligence
Known as BI, Business Intelligence is a sector that aims to transform raw data into visual and intuitive reports and documents. Ideally, they should, on their own, allow for more accurate decisions and good results to expand the business .
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