Information is power, and that is why what is known as Big Data is increasingly present in both multinational companies and SMEs, since collecting data, analyzing it and making strategic decisions based on it will be key resources for the success of your business, what is known as ‘data economy’.

What is Big Data

But what exactly is Big Data and how can it benefit your company? Big Data is the technology or techniques for processing and storing information that allows us to process large volumes of data, which serves to profile and obtain knowledge of users based on the digital trace they leave when browsing the Internet, in the form of unstructured data.

Tracking, cross-referencing and analyzing this data from the company’s systems will allow you to better understand the personality and tastes of your customers, and with all this data your company will be able to adapt decision-making to their needs.

However, in order to benefit from the opportunities of Big Data we must take into account the following:

First of all, for data storage, we need hardware and software capable of storing said data so that it is available and accessible at any time.

We will also need data processing tools that allow us to operate with large volumes of data in real time, as well as establishing the organizational structure, technology and personnel necessary to carry out information processing.

Finally, we must take into account the algorithms and methods that we will use in the analysis of information of value to the business, which allow us to draw conclusions and make decisions in this regard.

Big Data techniques and tools

Some of the most useful free software for your business when it comes to storing, processing and analyzing big data are:

  1. Hadoop, whose library uses simple programming models for distributed storage and processing of large data sets in clusters.
  2. MongoDB, whose database stores data in documents instead of records, being especially useful in environments that require scalability.
  3. Elasticsearch, for searching a large volume of data, especially for complex data.
  4. Apache Spark, data processing engine.
  5. Apache Storm, to process large amounts and constant flows of information in real time, such as comments on social networks for monitoring and analysis.
  6. R language, programming language and software environment for statistical calculations and graphics.
  7. Python, advanced programming language for data analysis.

Management and use of data for your business

Once the data is obtained, stored, processed and analyzed, the next and most important step is to make use of that data, that is, to manage it: classify, categorize and manipulate it so that it allows us to take advantage of the opportunities that this technology offers us, such as:

  • discover the company’s strengths, opportunities, weaknesses and threats
  • know how consumers behave with the brand
  • create marketing strategies that work better
  • carry out reports on the competition
  • make better decisions
  • new business opportunities
  • save costs

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