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.
Frich helps Gen Z level up their finances by offering real, anonymous peer benchmarking data and money advice, replacing influencer...
Using Speech Analytics, we have successfully crafted a sales strategy focusing on data gathered from customer calls. Successfully, we created...
Traditional banking settlement rails are slow, costly, and inefficient for digital assets. Our stablecoin-powered settlement system revolutionizes institutional custody, providing...
Atidot leverages AI and 53 million policyholders’ data to boost life and annuity sales, improve retention, and cut CAC by...
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...
