Speed: Because of the amounts I have just mentioned

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It is necessary that this data be transmitted in record time to some place in order to be available later. The best place: the cloud. With the presence of the Internet, it is necessary to quickly access information at any time and place.

The amount of data matters. With big data, you need to process large volumes of low-density, unstructured data. This could be data of unknown value, such as Twitter data feeds, clickstreams from a web page or mobile app, or sensor equipment. For some organizations, this could be tens of terabytes of data. For others, even hundreds of petabytes.

Variety:
Analyzing information based on text is not the same as analyzing namibia phone data information based on images or other multimedia content, hence the complexity of whether the data is structured or not, and whether it requires analysis within its metadata.

To analyze data with these characteristics, some companies use tools such as ERP or CRM, which help both in strategic planning and in customer management, all based on historical data.

What is Big Data for?
The use of Big Data brings several advantages for a company, such as the management of more profitable data-based businesses, as well as a much more efficient operation. The main uses and reasons are:

Greater certainty in decision-making: With real-time availability of information, it is possible to perform an analysis of any precedent that the company has in any process, and thus make a decision based on its experience, offering a clearer picture when deciding.
Finding new business channels: By collecting information from customer interactions, it is possible to measure not only how well current products or services are performing but also how they can become or complement the solution to a given problem.
Cost reduction . Storing large amounts of data can be both confusing and expensive. There is the possibility of outsourcing this service through companies dedicated to the sector or hiring software that has this function.
Big data is useful if and only if it is actually used. There is no point in hiring specialized companies or software if the data stored there is not going to be monitored or if the information is not constantly managed.