Improving your company’s financial and marketing results
Increase your knowledge about your current and potential customers with a unique value proposal featuring Big Data and AI services
Big Data and AI in the banking sector
We work with companies in the financial sector throughout their transformation process towards data-oriented organizations with specific solutions for each business area and issue.
In a highly competitive context and with the rise of new business models, more demanding customers and more regulatory solvency requirements, Differential Data, Big Data, Artificial Intelligence and IoT have become essential allies for companies in the financial sector.
Opportunities for banking
With greater customer knowledge, internal process optimization and risk and fraud prevention, financial institutions can resolve their business problems with an impact on their P&L accounts.
Acquisition
Identification of high-value customers.
Non-customer scoring by inference.
Channel positioning.
Know your customer
Micro-segmentation.
Customer Experience management.
Campaign customization.
Loyalty
Churn prevention.
Product recommendations.
Dynamic pricing.
Customer Service
Investment services.
Product cross-selling.
A chatbot for incident management.
Risk
Money laundering prevention.
Relations graphs for private individuals and SMEs.
Internal and external fraud forecasts.
Consulting and Analytics
We do end-to-end Big Data and AI project management starting with strategy definitions to deployment in all levels and areas of a company.
Cultural Transformation
We offer training programmes for technical and business profiles to adapt your employees’ methods and skills to the new data-centred culture.
Business Insights
We work with the banking sector to provide unique insights based on anonymized and aggregate telco data from +350 million customers in our mobile network which define the population’s movements and habits.
Technology, Infrastructure and Security
We make a whole ecosystem available with Big Data tools and technologies, infrastructure and security for proper data management.