Every bank has payment data. Are you sure that your bank is getting the most out of it? If not, you've come to the right place.

In this 1 hour webinar, you’ll learn how to effectively sort, analyze and utilize payment data across all channels. We’ll share with you the knowledge and expertise we‘ve gathered over 8 years of working with more than 30 banks and fintech companies globally.

Detailed agenda:
1. Internal Data Analytics:
How to leverage your internal data to predict customer life events, evaluate income stability, extract actionable insights as well as how to transform raw data into valuable information.

e.g., Travel patterns, spending behavior, permanent residence vs. contact address, etc.

2. New Data Features:
What features can be built, our clients built and where is the future of payment data headed?

e.g., Subscription management, sustainability-driven categorization, CO2 footprint, or community building through features based on geolocation, etc.

3. Detailed Labeling and Client Profile Signals:
You’ll learn how to effectively label your data and leverage client profile signals to enhance credit risk scoring as well as develop highly customized investment and risk profiles that truly reflect your client's behavior.

e.g., Uncovering gambling, customers that invest in cryptocurrency, or high-risk subscriptions.

Thanks to all the above, you will deep dive into the realm of merchant data and consumer behavior analysis.

Join us for a webinar that will equip you with the knowledge and tools to elevate your raw payment data into an asset that provides value.

In case you can't attend, the recording and key takeaways will be sent out post-event.

About TapiX:
TapiX is Dateio's real-time REST API service that enriches payment data. It provides crucial information such as company logos, accurate brand names, GPS coordinates, business categories, Google Places data, company URLs, and CO2 footprints. TapiX supports both card payments and bank transfers, allowing you to enrich full bank data or any open banking data like PSD2.

TapiX Team