Data-driven banking: From key elements to the right strategy.
The migration of data to the cloud, open ecosystems in banking and wealth management, and improved and more cost-effective use cases for artificial intelligence are the technological drivers in banking. In this white paper, ti&m, together with Google and HSLU, analyzes various aspects of data-driven banking and explains how banks can implement their individual strategy.
The state of data-driven banking in Switzerland and regulatory aspects
Read in which areas of the Swiss financial world AI-based use cases are already widespread and which regulatory aspects need to be considered in data governance and compliance.
Technological drivers
Whether cloud, open ecosystems or the application of artificial intelligence: the fundamental resource of the three drivers is data. Learn all about the different types of data and the collection, analysis and use of data in a suitable data architecture that allows data-based projects to be implemented.
Use cases and pathway to becoming a data-driven bank
By presenting specific use cases, we show how banks can reduce costs, minimize risks, and increase revenues through a data-driven banking strategy. The path to such use cases? The MVP (Minimal Viable Product) approach from ti&m, in which interdisciplinary teams develop an initial, marketable solution within 12 weeks.
Download white paper data-driven banking in Switzerland
ti&m breakfast news: Der Weg zu einer Data-Driven Bank
Head of Products & Banking Innovations
Fabian Braunwalder
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