BI platforms help automate visualization and delimit access to data

[Mst.Rina1R]

In part, they can also directly access most data sources, as they have a large set of different connectors in the box.

Machine learning algorithms help automate the process of analyzing and obtaining results based on the data you have collected without involving humans in this. A good example of their application are product recommendation systems in online stores. Recommender systems, based on some common behavior patterns, define users in different clusters by interests, and then select for you products that are most likely to be of interest to you.

You can learn more about how we automated some of these processes in the articles: «How we implemented BI analytics in the contextual advertising department", "How to save a specialist's time when costa rica telegram working on a large project - using OLX as an example", "How We Made an Analytics Tool for the Netpeak Blog".

Will it turn out in the near future that it will be enough to set up integration between data sources and an automated analysis environment? Is it worth spending time on these skills?

The amount of data and its sources is growing every day, and the methods of analyzing it are more complex. Most automation solutions are individual. Of course, various services are emerging that help automate some of the operations of bringing together data from various sources, but I highly doubt that there will be a service that will help you solve all the problems by pressing one button. Another issue is that knowledge is also losing its relevance, for example, 8-10 years ago, knowing the VLOOKUP function in Microsoft Excel was something from the realm of fantasy for many, now you are unlikely to surprise anyone with it.