Data has become one of the most important assets that companies have today as it allows them to make better decisions for their businesses. Hence it is so important to have tools that facilitate their analysis and to have a team of data scientists capable of extracting the most relevant information. As the volume of data collected by companies is increasing, businesses are forced to develop systems that allow them to find the most relevant data.
However, not all companies manage to get the most out of their data scientist teams, as professionals often work with different platforms that complicate the agile extraction of conclusions from the data, as well as its communication. In this sense, it is important to have centralized management of data analysis, allowing all professionals to use the same tools and use same standards so that the information gathered is useful.
Data analytics is the process of using data to gain insights that help businesses achieve value. This can be done using software and analytics platforms that provide data scientists and analysts with tools that make it easy to analyze data, while also allowing them to focus on exploring and understanding data rather than spending time on reporting or managing data.
In short, with the aim of pointing out the main needs that a platform for data scientists must meet, we have listed the following 5 must-have features that any data analysis tool must meet: