Accenture‘s Fintech Innovation Lab initiative is an accelerator programme designed to put the best fintech start ups in front of potential banking customers and investors – we interview those that made it to the final.
CBR: Describe your solution in technical terms.
SBDA Group: "Using data science methods 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 for banks developers, marketing managers and analysts and sets up the efficient targeted offers creation process, based on real life events of banks customers.
"Technically, the solution has two key points: firstly, the data science core that turns raw internal and external data into insights about a customer’s real life. By insight we mean facts or predictions. For example we can say that these sets of customers’ are going on vacation and have just received a salary.
"Joining internal banking data with external sources, social networks first of all, we can say more – for example, that those customers are just married. Now we have more than 400 insights. Each insight is a mathematical model. So managers can see the real life behind the technical data without data scientists and analytics.
"The second key point is multirole workflow to launch a number of campaigns using these insights. It allows banks to have the coordinating steps fully automated. Technically it’s a web solution. As a result it allows managers to launch a campaign in a few minutes instead of a month."
CBR: What problem does it solve/opportunity does it create?
SBDA Group: "The problem that we solve is lack of personalised communications in retail banking. Banks have huge amounts of customer real life data, but in general don’t use this data to make their communications as personalised as it could be.
It happens because the process of campaign launch is quite complicated and involves a huge amount of teams. And one of the longest steps of it is analytics. As a result it takes months just to launch one campaign and it’s obviously too expensive to be done on a regular basis."
CBR: Why is it unique?
SBDA Group:"From a data point of view it covers all steps and aspects – data cleaning, data enriching, ML/AI modeling. From campaign management point of view it’s unique advantage is possibility to work without distracting analysts and other technical teams. So it’s the only end-to-end platform that fills the gap between banks analytics and campaign execution."
CBR: What language is it built in?
SBDA Group:"It’s a combination of Java and Python."
CBR: What platform is it built on?
SBDA Group: "It’s an internally implemented web-service with core developed completely by SBDA."
CBR: Which best described your technology: it is a cloud solution. It is a SAAS solution. It is a third platform solution.
SBDA Group: "It’s closer to SAAS."
CBR: Describe the culture of your company.
SBDA Group: "We’re a team of data scientists first of all, so we have quite a scientific approach and atmosphere. Previously our executive team worked together at Yandex, the largest European search engine, on various services as head of services, technical leads, data scientists.
"So we realized pretty well what a big impact personalization can bring to the business. That’s why we decided to move to the sphere which have such a great potential from that point of view. And that’s a great challenge for us both from business and science point of view."
