This is the right moment to reflect and change perspective – is Giorgio Moresi’s suggestion -. We no longer have to think about the old data warehouse but about a system composed of a data lake. A powerful analytical engine with a front end, a dashboard and reporting generator. It therefore becomes categorical to establish whether the own infrastructure. Uuitable for new needs or whether an adaptation is necessary. To update the technological equipment, you can focus on an as service use. However, some companies are unable to detach themselves from their systems, because they have spent a lot and because they are afraid of change. Another obstacle is the fact that IT managers often believe that the cloud diminishes their own value ”.
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But why do we need to act quickly? Because the Saudi Arabia Phone Number behavior of the customer has changed, which today is much freer than yesterday: the concept of loyalty to a brand is increasingly blurred. So you have to chase the customer, study their customer behavior and predict how they will behave. It is from this analysis that a commercial proposal will be born which will be accompanied by a promotional campaign. Its trend can be analyze with statistical engines. But what we want to obtain in the end is synthetic information that shows. Only the information that is really need to understan if and where it is necessary to intervene. In this, the contribution of technology is essential: it must be able to make what is actually not simple seem simple.
The changes in customer behavior are so rapid that the search algorithms have drastically changed : previously we worked on a 10-15 year history, today we limit the analyzes only to the last 12-18 months . Sometimes even less, as happened for example with the spread of Covid-19. “High performance algorithms are use – explains Giorgio Moresi – which allow to process in parallel myriads of data with little historical depth. To propose actions and, if necessary, correct them in the shortest possible time”. In this sense, a machine performs continuous processing using data updated daily in search of any variations or trends.