Every day, Internet users generate a huge amount of data. This data is known as Big Data, and is characterized by its large volume, processing complexity and structure. And of course, this data is useful for marketing professionals.
It is necessary that all information from businesses and organizations is not only stored but also used for future actions, that is what Big Data is all about. Join me for the next few minutes to find out what it is about, what it is used for and how to apply it in your Marketing strategy .
Definition of Big Data
Being such an organizational term, it is complex to define lebanon email list 484456 contact leads Big Data in a single meaning , since it also corresponds to a series of actions focused on the use of information or data.
However, we could say that when we talk about Big Data we are referring to an expression that emerged at the beginning of the century, in 2001, and that refers to data sets or combinations of sets that have the 3 Vs as a characteristic. These are:
Volume:
Large volumes of structured or unstructured data can include historical interactions on a website with hundreds of thousands of visits, access to mobile applications, logins to portals, among others.
To give you an idea, within Big Data it is common to analyze petabytes, that is, 1,000 terabytes, which would occupy about 4,000 high-end cell phones or also 1.5 million CDs.
Speed:
Because of the amounts I have just mentioned, 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 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.
