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Big Data vs Business Intelligence, what are the differences?

The digital transformation is a powerful force in today’s business ecosystem. So much so, that entrepreneurs, entrepreneurs and executives have not only internalized the need to evolve their business models to adapt them to the new demands of customers, but also have understood the opportunity to design new models to take advantage of new opportunities.

 

In this process of change the most important thing is the people, who have to understand the change as something natural. This forces companies to work on their business culture. In addition to increasing skills in their templates such as curiosity, creativity or critical thinking. But not only this, the managers of the companies must begin to understand the technology and its associated language.

 

Differences between Big Data and BI

The Big Data and Business Intelligence are two technologies that should be known by any company will initiate a process of change. In addition, during 2019 and according to the Gartner consultancy, the first investment priority for companies immersed in digital transformation processes will be data analytics (43%), followed by cybersecurity (43%) and Cloud solutions and services Computing (39%), that is, needs, on the data that makes new digital leaders need additional knowledge and skills on these technologies.

Big Data and Business Intelligence, due to their similarities, generate a lot of confusion among entrepreneurs, entrepreneurs and managers. For that reason, I will explain some keys to clarify the differences between both technologies. Let’s start by giving a definition of each of them:

  • The Big Data concept refers to a set of technologies and tools capable of capturing, storing and processing large amounts of data in time and cost assumable for an organization.
  • The Business Intelligence and Business Intelligence is a set of business management techniques that allow an organization to make business decisions based on data that have been treated by different tools into information.

Therefore in terms of their differences:  while Big Data focuses on the capture, storage and processing of data, Business Intelligence focuses on the processes of analyzing such data to turn them into information and make timely business decisions .

It can be said that the data has always been the source for Business Intelligence processes. What has changed today is that the data has become massive. In addition, we have given a name to the technologies capable of treating it: Big Data.

Who is who in Big Data and Business Intelligence?

The profile of the people who work directly with each of these technologies is also different. Thus, while in the work teams related to Big Data there are profiles such as engineers, statisticians and mathematicians, the business intelligence work teams of a company are formed by experts in business administration, economists, marketing experts and, new, engineers and technicians.

The business departments that encompass both technologies are also different. In this way, while the Big Data work team belongs to the technology department and reports in general to the CTO (Chief Technology Officer); Business Intelligence teams are integrated into the company’s management department , and they report to the CSO (Chief Strategy Officer) in case there is this profile in the organization, or they can report directly to the CEO.

The confusion between both technologies lies in the fact that both must work together and fully integrated . This means that the BI team must work together with Big Data to establish what data they need to then apply analysis actions on them. The Big Data team has to identify patterns in the data that it must communicate to the Business Intelligence team. Both teams work on the data, some to make them manageable and valuable, and others to make business decisions that make them more competitive.

 

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