CASE STUDY
According to Pereira, by offering in-depth insights with improved analytics based on reliable and quality data, it is possible to provide more efficiency, productivity and optimize resources for an innovative future.
“ We are happy to be alongside AFIP on this path of data-driven digital transformation,” he said.
Another new feature being introduced through Qlik’ s data integration, data quality and analytics platform is predictive analytics.
With an extensive production chain, AFIP has employees on the front line of the health area, involved in the collection of biological materials and research. In periods of outbreaks, for example, the demand for its services increases significantly, while there may also be an additional impact due to the absence of employees who contract the disease.
Predictive analyses will be carried out from historical databases of employees’ time banks, seasonalities, laboratory applications and customer relationship systems( CRM), for example, to anticipate trends.
In this way, AFIP will be able to prepare in advance to increase its operational capacity more efficiently.
The information can help AFIP adjust the number of professionals, equipment, resources and supplies when needed, avoiding overload, improving efficiency and ensuring that the materials they demand are available when they need it most.
“ With accessible data and detailed analytics provided by the project developed in partnership with the IN Group and the Qlik platform, AFIP is increasingly able to make accurate and strategic decisions in a datadriven culture, encouraging constant innovation,” said Bruno Guerra, CEO, IN Group. p
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