Financial Services

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Case Study: Quiterian improves the efficiency in financial services Download

Quiterian Analytics for Financial Institutions

Brochure: Maximum value and rigor for customer data Download

Quiterian Analytics for real estates

Brochure: Advanced and predictive analytics for allocated assets to be marketed profitably Download

Maximizing the business knowledge

The financial sector generates large volumes of information and must comply with increasing regulatory pressure and changes, which affect the formal reporting system. Stronger competence, lower margins, a better customers financial culture, new population segments and new communication channels obviously influence prior situation.

Validation tools must deliver the power and flexibility needed to ensure data consistency and constant adaptation to regulation and business managers’ demands.

Quiterian Analytics is crucial to deal with these processes, which are aimed to make financial institutions have a deeper knowledge of their customers, of data exploitation and knowledge generation, and of the official reporting and business knowledge maximization.

Based on advanced analytics techniques, Quiterian Analytics allows financial entities to analyze all their data in detail and instantly, fast and with no need to bring IT’s department to a standstill.

Some Quiterian Analytics’s common applications for financials are: campaign tracking (researches on response rates), product research (features of customers who consume certain products), promotions research (detecting overlapping campaigns, evaluation, promotions, etc.. ) or revolving cards’ sector (users behaviours and profiles identification).

Some advanced analytics solutions provided by Quiterian are the following:

• Maximum value and rigor for customers’ data
• Real Estates
• Customer risk versus profit matrix
• Customer allocation
• Customer risk classification evolution
• Identificación of behaviors in finance products (eg. revolving cards)
• Money laundering patterns detection
• Optimizing ATM operations (seasonality, weather, customer patterns…)
• Selection and alert non-performing loans (NPL)
• Validation of data for legal reporting on time
• Integrated business view: all data sources together

Detecting a Cross-selling opportunity in 5 minutes:
Quiterian Financials Analytics [+]

Cross-selling is a key issue for financial companies, since the more accounts per customer they have, the higher the loyalty indicator rises. You are going to see how to find the best product to recommend to each customer through the most effective channel in just five minutes, with Quiterian Analytics.