Better Data, Better Services.
Insight
Following the merger of BPER-Unipol Banca, the BPER Group achieved a market share of almost 5%, confirming itself as the sixth-largest Italian banking group by offering its services to more than two million customers. In 2014 it turned out to be the most reputable credit institution in Italy, according to the “reputation Institute” in New York
How do you hold such a record? By dynamically responding to the needs of the core business and to its customers’ ones. The ability to read your own data in a fluid and intuitive way is an essential strategic asset to win the challenge.
Solution
The BPER Group has chosen to ride the cultural revolution wave this Data Revolution time has generated, devoting a lot of energy to research and to Data Visualization so to get easily reachable and readable information. New types of dashboards and navigation ways allow the bank to react in a more conscious and dynamic way to the core business’ needs and to its customers’ ones.
We made sure that all Enterprise’s information assets are based on the realization and on the use of the corresponding dimensions. The BPER Group has a common substrate that shares information from all branches at all levels. i.e.: the analyses of the data of volumes, the forecasts of costumers’ development, the cross selling and the quality of the credit.
The ‘Enterprise Business Intelligence’ project also grants the access to a visual representation of the quality of services to facility managers, allowing them to quickly develop strategies acting to improve its efficiency.
Benefit
The cooperation with Iconsulting and the implementation of Enterprise Business Intelligence brought BPER Group to possess and manage daily comprehensively updated information. Top management teams can now make decisions quickly thanks to detailed information used to guide specific actions on the entire supply chain of the Business Area.
The platform allows the integration of both strategic and operational data. There is also the possibility of analyzing the data even in self-service mode. This allows the use of Advanced Analytics by transforming the data into personalized insights.