Maximizing Banking Value with Big Data Analytics


Nowadays, the availability of an ever-growing amount of data allows us to study such datasets in order to predict and explain correlated events. UniCredit points its attention on innovative techniques to extract value from data. Newest technologies allow to analyze and investigate datasets in two different alternatives: batch and real-time analytics. The talk will focus on how UniCredit Business Integrated Solutions, the global service Company of the UniCredit Group, is facing Big Data challenges by presenting its vision, its Data & Analytics teams, its methodologies and concrete use cases.

Language: Italian

Level: Beginner

Chiara Bartalotta

Big Data Analyst - UniCredit

Chiara Bartalotta is a software engineer of the Data & Analytics group of UniCredit Business Integrated Solutions. She is responsible for managing the design, the development, and the evolution of solutions implemented through Big Data technical frameworks. She supports the scouting of new generation platforms with the goal to innovate and optimize banking and financial services. She graduated in Computer Science at Roma Tre University where she focused her Master Thesis on Big Data challenges by studying causes behind popular trends on social networks and correlations among such trends.

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