Data Control

Conclusion

In the world of economic globalization, economic exchanges as well as the rapid and profound transformation of science and technology, modern companies, in order to adapt and remain competitive, must anticipate changes in their environment. As large datasets are currently available from an abundance of sources, companies are looking to use these resources to promote innovation, build customer loyalty and increase operational efficiency. At the same time, they are being challenged for their end use, which requires greater capacity to exploit, analyze and manage the increasing amounts of data forming a “data boom”, also known as “Big Data”.

The revolutionary dimension of “Big Data” lies in the empowerment of production processes and massive, continuous and ever-faster exchanges of data. Companies collect large amounts of data that arrive via interconnected tools, social networks, emails, surveys, web forms and other data collection mechanisms. Every time someone does a search on Google, uses a mobile application, “tweets” or posts a comment on Facebook, they create a data feed. By simple browsing on the Internet, a user leaves traces of various kinds, which can be retrieved in real-time. It is up to the company to determine which ones may represent a competitive advantage.

These digital traces must be explored through cross-referencing and correlations, obviously using specialized tools, in order to take advantage of them and offer quality products and services, provided ...