This predictive statistics-driven model detects – through a wide set of indicators – multibanked customers and their ‘hidden value’, giving Intesa Sanpaolo relationship managers the chance to perform a root-cause analysis of their multibanked status and then develop the relationship with these customers through special offers and packages to increase their loyalty.
Imagine If the stakeholders of BB Pay Checkout were able to understand their client’s behavior using a mix of text-based...
Banco do Brasil's Data, Analytics, and AI Governance is adaptive, dynamic, and business-aligned. Its approach ensures AI-ready data, enhancing customer...
Banco do Brasil's Smart Treasury modernizes operations with AI and data analytics, optimizing processes and integrating areas. This innovation enhances...
BB Global Leads is the first project using web session data to identify expatriate clients. It analyzes website and app...
Karin van Hoecke is General Manager for (Digital) Transformation & Data at KBC, the leading Belgian banking and insurance brand...
Through a strategic partnership with Precisely, the global leader in data integrity, Abeille Assurances is using cutting-edge geospatial solutions to...
Katharina Neugebauer, Senior Sustainable Finance Advisor for Group Structured Finance & Investment Banking at Raiffeisen Bank International, explains how the...
Deon Kotze, Chief Commercial Officer at Discovery, highlights their comprehensive dataset, enabling a deep understanding of behavior and its impact...
