In an increasingly dynamic economy where companies have to make right decisions quickly and accurately, data analytics has become an essential tool in business management, acting as a lever to make objective decisions supported by information extracted from these analyzes, facilitating the achievement of objectives.
However, not all that glitters is gold. In many cases all the intelligence that supports the algorithmic systems that are applied to the data is out of control. At present, the health status of these analytical processes is not being measured systematically, so in most cases they do not provide the expected benefit to the business. Therefore, it is essential to have greater control over data analysis with efficient government over them.
But what are the biggest challenges facing the government of data analysis? What aspects should be taken into account when forming the teams responsible for managing these analyzes? In this article, we answer these and other questions related to the government of the data analysis so that there is a greater probability of success in its implementation in the business operations of the companies.
