Where to begin with personalisation?
Scalable personalisation and AI-driven segmentation tailored for the FS&I industry
Is a Feature store something to make your data science team shine within your company? Why? What AI/ML use cases should data scientists in FSI be working on these days?
Persona360 – Product Overview
Persona360 is an AI-driven product on top of your existing data platform (Azure, AWS, Databricks,...). It enables enterprises to get reliable and relevant insights about their current and prospective customers, and to personalise towards better business performance and customer satisfaction.
How it Works
Data Sentics have provided invaluable support to esure Group for 18 months. Hard working, diligent and always starting with deep engagement with stakeholders, the team were able to grasp very diverse business challenges and leverage state-of-the-art data science to solve them and drive an impact across the enterprise. In doing so they helped evolve key concepts and products and worked hand-in-hand with our colleagues to deliver what was needed, always with a smile. A joy to work with.
Chris Pearce PhD, Head of Data Science, esure, UK leading digital insurance
We have been struggling with our mission to become the most personalised bank in the region. To banks, it's crucial to know a client's life situation and needs and tailor the communication accordingly. Thanks to our new data model, we have access to very interesting customer insights, and we are able to respond quickly to all customer needs and situations.
Veronika Pješčaková | Product owner at Česká spořitelna, Erste Group
Persona360 Use Cases
1695 AI-driven customer segments
Ready-made engine for segmentation of your customers. Just feed it with your unstructured and digital data and some CRM/DWH data to get 1000+ new information about your customers. For example, Interests, Lifestyles, Life stages, Propensities, Affinities to topics and many more categories... Save enormous amount of development time.
User interface of Persona360 app
Persona 360 can ingest unstructured data (emails, chats, call transcripts, images) and digital behaviour data (app interactions, website clicks, ad impressions) with classic product/CRM data. To ingest those new, large, fast-changing data sets, we use AI techniques like Nature Language Processing and Computer Vision, combined with the traditional techniques.
- Democratisation of data: easy access by business people
- Full analytical flexibility for existing Teams (ML, AI modelling lifecycle)
- No vendor lock-in (you can takeover the IP for one off fee)
100 % aligned with your data governance processes
- Full transparency & auditability
- Better regulatory compliance
- Leveraging your existing data governance processes (not disrupting them)