Technology helps big companies’ digital transformation and could cut down on costs
Big data is a technology that can optimize the development of a company and help business digital transformation. It is capable of changing the way organizations collect data and client information to turn them into opportunities. The importance of big data is such that its market can reach US$ 77 billion by the end of the year, according to and Entrepreneur research.
“With big data, companies can improve their operations and offer data that allows a more strategic and client-customized performance. However, it’s necessary to know how to collect, process, view, and analyze the data to transform it into business intelligence”, explains Alexandre Zanetti, CEO at Datum IT.
If utilized properly, big data can lead to competitive advantages, by potentiating companies to grow and acquire new clients , once it’s possible to optimize processes and reduce costs, forecasting scenarios and, also, planning how the brand will position itself in the face of a competitive market.
“It allows an even bigger comprehension on consumer profile, it helps to identify market trends and to monitor the competition. For that reason, those who have not yet adopted this tool will certainly be left behind. Datum possesses expertise in the matter and has implemented big data solutions in the cloud by using Microsoft Azure, seeking the acceleration of extraction, transformation and loading of massive data, structure and non-structured, to the business platforms of some of our clients. All these actions bring greater efficiency in diagnoses, in the transit of information and optimization in decision making, analyzes Zanetti.
With the expansion of web traffic and the emergence of social networks, data gained more volume and started being used to optimize different areas of a company. Since 1980, every day more than 2.5 exabytes have been created and that number practically doubles every 3 years.
The origin of big data
In the 2000s, Data & Analytics Strategy, Doug Laney, created a new approach to the concept of big data, considered the most popular and used until today. He separated the idea into 5 V’s: volume (amount of data obtained by the company), velocity (data transmitted, stored and downloaded quickly), variety (different types and formats of data), value (information that aggregates and is relevant to the business) and veracity (data quality that allows for an integrated and reliable path).
However, the origin of big data goes back to the 60s and 70s, when the first data centers and relational databases emerged. However, it was only in 2005 that data generated by users, through Facebook and Youtube, began to gain prominence.
