How they describe themselves: SBDA Group works on personalization of banking services using machine learning and data science methods. By combining banks internal data and external data – such as purchases history and social networks activity – SBDA platform extracts facts about clients present and makes predictions about their future. The main idea of SBDA technologies is helping banks to make a move from an utilitarian tool to a personal financial assistant. To become a service that understands the client’s financial situation better than anyone else and preventively and proactively helps him solve his everyday tasks related to the finance. Now SBDA algorithms cover more than 70M real customer profiles.
How they describe their product/innovation: SBDA Customer Insight™ turns raw banking data – such as transactional histories – into targeted marketing and customer relationship management with a platform that portfolio and product managers will love to use. It enables them to select customers by their real world activities to make banks campaigns highly personalized. And after that Customer Insight™ provides an end-to-end solution for coordinating the campaign with other specialists needed and for launching it in a few minutes. As a result it saves months of work of banks developers, marketing managers and analysts and set up the efficient targeted offers creation process, based on real life events of banks customers.
Product distribution strategy: Direct to Business (B2B), licensed
Bus. Dev.: Nikita Blinov, CEO, email@example.com
Press & Sales: Anna Laskovaya, Project Manager, firstname.lastname@example.org