Business structures, already complex in themselves, acquire a high degree of sophistication in the financial sector. The inherited behavior of society in this area and the difficulty of achieving sustainability in an atomized business gave rise, at the end of the last century and the beginning of this one, to large business conglomerates, in charge of capillarizing the interaction with savers and those seeking financing.
Thus, although we have been witnessing a vertiginous concentration of banking institutions for more than a decade, concentration is still a defense strategy, regulatory changes, an expansive monetary policy, the entry of new competitors and the profound transformation of consumer habits, accelerated by the pandemic, force the surviving entities to pursue their total digitalization if they want to ensure their sustainability.
The use of machine learning algorithms (" Machine Learning"), which are used forMachine Learning"), open the doors to a large number of applications for the sector, such as customer support (chatbots), the automation of back office processes, the definition of predictive scenarios of trading or price forecasting, all of which improve operating costs and user experience, not to mention their potential for fraud reduction.
What do we at Smartup call service imperceptibility?
In our projects in the sector we carry out the consulting and subsequent planning of the digital transformation process of the entity in terms of technology, processes and training of people.
However, of all the trends we are seeing in the industry, opportunity in digital natives, leveraging of the Sandbox financial, competitiveness of the Big Tech in the sector, or the evident "platformization"The greatest potential for the adaptation and technological evolution of our clients' services in the sector has been the progressive imperceptibility of financial services. The user is less and less aware of using these services and this poses a double challenge: the necessary ethics and due transparency and the modification of behaviors in an environment of "present invisibility" of the services.
We are facing one of the most exciting moments of reorientation of structures, messages, products and analytics of all sectors. The identification of the variables to be analyzed and modeled in order to lead this journey can be carried out through the creation of observation and characterization systems such as those already in place in telecommunications or retail companies, generating a data exchange center known in the technological jargon as a Datahub, for the analysis of behavior focused on decision making about the traditional banking operation.
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