Find out what our customers have been doing
DETECT AND PREVENT FRAUD
Dodge huge losses with cutting-edge analytics and Machine Learning. Create complex models of ‘normal’ behavior across a variety of activities and detect fraud before it affects your cash flow. Create customer personas that are self-adjusting as underlying business rules change, detect relationships across different entities that could signal money laundering efforts or credit card fraud or aggregate data from old sources.
All your clients have special behaviors and buying habits. Each of your clients can be targeted with special tools by assigning them to pre-defined segments, influenced by demographics, interactions with online and call center systems, transaction list or external data, (eg. house value, income etc.). Analyze them all by incorporating unstructured data from social platforms and understand their real needs. Decide on the best way to fulfill them and take your marketing campaigns to a whole new level.
CONTROL YOUR RISKS
Set risk barriers and be alerted if they are breached. Better control your risks by constantly being aware of your interest rate, operational risk, natural disasters, legal liabilities or liquidity risk.
KNOW HOW THEY FEEL
This is what social networks are for, sharing feelings. And they are shared in heaps. If you would be aware of them, you could create better products, make better decisions or improve where you need to improve. Enable Machine Learning and Natural Language Processing to detect what everyone says and feels and use this information to your benefit.
Giving credit needs evaluating the borrower the traditional way, through the 5 C’s method: Character, Capacity, Capital, Collateral and Conditions. Traditional, automated credit scoring tools have raised concerns about their level of accuracy and unfairness. You can learn much more about the user and open up the possibility to aggregate new data sources, information about your clients that can give you special insights and enrich their profile. Develop tools to that take into account shopping habits, purchases, social media, and a multitude of factors.