It is no longer surprising that companies deal with a large amount of data, which makes it difficult to analyze them and consequently make decisions. It is now necessary to cross-reference data from a variety of data sources, gain insights, and analyze consumer and market information. In today’s article, we’ll cover the 4 types of Data Analytics that you can (and should) use in your business!
“Big Data” is a fashionable term. More than understanding this concept, which is nothing more than the large amount of unstructured data existing in companies, it is necessary to know how to extract value from the information that is generated daily in companies. Organizations are now aware of this need, but they are not always able to take advantage of the real value of the data. In today’s article, we’ll cover 4 essential tricks to extract value from Big Data!
It is essential to analize data in order to make the best possible decisions. The data must be organized so that we can provide relevant information about the actual state of the business, because only then we will be able to decide consciously. Companies are currently experiencing difficulties in organizing and structuring data as there is more and more information (the so-called Big Data) and managers don’t always know how to deal with it. In today’s article we leave you some essential tips for optimizing the results of your business through a correct data management!