Investor Presentaiton
DATA-DRIVEN ORGANISATION
112
62%
Data models running online, covering
different business processes
Automation rate for retail lending
process in 1H21
35%
Contribution in sales process, powered by
data-driven models in 1H21
22
22
KEY DATA-RELATED INITIATIVES IMPLEMENTED DURING 1H21
Implementation of non-financial recommender engine
Data and Al trainings for middle management
Predicting and improving NPS with data-driven models
Improvement of natural language understanding
capabilities
DATA IN BANKING
Use of data analytics to cover core banking
processes with impact on decision making,
automation, sales, customer satisfaction,
efficiency
DATA BEYOND BANKING
Use of data analytics for data monetisation
and to create additional value for customers,
the Bank, and the ecosystemView entire presentation