CIO OPINION
From the point of view of the public sector , it is necessary that governments begin to base their decisions on these predictive models , in order to give greater confidence to the people and react in time to possible problems .
When determining which data is relevant or not for these models , it is important to establish those qualities focused on the success of a business . For example , understanding the facts that achieved the conversion of a user , why a sale was achieved , factors around why the user finally clicked on a button , elements associated with user behavior ( in cases like this , the historical data collection ).
When mentioning what is the perception of organizations in front of these predictive models , we find that at the beginning , each company has created its hypothesis of why something is successful . However , when companies , like Prodigious , show that from real data that first hypothesis can be validated or refuted , the perception about the importance of making decisions based on data analysis changes completely , showing that high impact factors can generate changes in the user experience .
Although at first there is some resistance , later , depending on the results , the perception changes . There is also some skepticism when seeing things that will be disruptive to the business . The recommendation is not to start with such drastic changes .
From the point of view of the public sector , it is necessary that governments begin to base their decisions on these predictive models , in order to give greater confidence to the people and react in time to possible problems . This type of model works well when properly implemented . In addition , there needs to be a culture of ownership of change to carry it out . p
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