What is data science?

[ishanijerin1]

The speech by Mike Gregoire, CEO of CA Technologies, one of the largest providers of software and IT solutions in the world, reveals an important trend for business management in an increasingly digital scenario : data science .

It is not without reason that he refers to Google and Facebook, two companies that stand out precisely for the intelligent use they make of the data they obtain, allowing ecuador mobile database them to have a competitive advantage and better understand the behavior of their users .

The recent report from the World Economic Forum pointed out that data scientist is one of the emerging professions and should be highly sought after in the coming years, integrating the growth of occupations linked to new technologies, such as artificial intelligence (AI).

To better understand the value of data science and which tools in this field are essential for companies, we have prepared this article. Enjoy reading!

Data science is an interdisciplinary area that integrates scientific methods, statistics, algorithms, as well as analysis of structured and unstructured data, with the aim of interpreting them and turning them into useful information for companies.

This field is related to data mining , AI, and big data . However, many people still wonder about the difference between data science, artificial intelligence, and machine learning (ML).

In general terms:

AI is the technology that aims to make a computer reproduce human behavior and intelligence in some aspect.
Data science is a subfield of AI that focuses on combining different areas to obtain meaning from a volume of data.
Machine learning is another domain of AI and deals with the processes used by computers to learn and discover things from the data they collect.
Data scientists are experts in carrying out processes involving the collection, storage and analysis of data from multiple sources, such as smartphones , the web, etc.

How important is data science for companies?
There is a large volume of data being generated daily in organizations, however much of this material is not used and properly explored, remaining in databases.

Big data stored and made available by new technologies can generate highly valuable automated insights for businesses, supporting more assertive planning and decision-making, but also enabling a more robust and data-driven strategy .

However, these benefits only occur if there is efficient extraction and understanding of data.

The management of companies with greater digital maturity has used data science, such as BI and analytics tools , to understand markets, customers or operations more deeply and capitalize on this knowledge.

The creation of innovative products and services, meeting consumer expectations and needs in a more refined way, involves investing in this field focused on the data life cycle.

The current business environment is marked by technology, instability , fierce competition and a complexity that no longer allows leaders and managers to be guided exclusively by intuition. More precision is needed to increase profits, avoid financial losses and ensure the survival of a business.