Business Intelligence, Data Analytics & Predictive Forecasting Analytics

CRIF has developed an in-depth understanding of the business processes of its banking and insurance clients. The result is the ability to build data-driven business solutions thanks to the available information assets.

CRIF is a valued partner in developing and implementing advanced analytics business solutions through:

Knowledge of business banking processes, enabling us to support our clients in the selection and processing of internal data to maximize the effectiveness of predictive models;
An accurate and diverse proprietary data ecosystem that integrates with open sources and internal bank data, completing the range of information needed to understand the different phenomena;
Significant market experience in developing “augmented” analytical models, recognized by independent research firms such as Gartner;
A team of more than 200 data scientists around the world, dedicated to data-driven research and innovation;
An end-to-end approach, from model design and development to the application and integration into business processes, thanks to a specialist advisory service and dedicated modular as-a-service management platforms;
Experience in cross-country and cross-industry data augmentation projects, enabling a rapid scale-up;
ready-to-use platforms for the implementation of AI-based processes, both in SaaS mode (CRIF Studio platform) and on-premises.

CRIF Business Intelligence and Data Analytics involves planning, designing, and delivering data science business applications based on proprietary, open, web, alternative, and big data.

Covered industries

Banking

Insurance

Telco & Media

Energy & Utilities

Services

Key benefits

Significant reduction of loss ratios for insurers

By optimizing risk forecasts with unprecedented insights in multiple domains, from identifying drivers to weather-related damage or digital identity.

Business and consumer insights for retailers

To drive strategic campaigns, with unparalleled geographic data points and industry-specific scores, to understand companies and people’s behavior and needs.

Risk measurement

Measurement of contagion effects of risk and virtuous circles linked to belonging to a network of companies, reducing credit losses.

Millions of euros in savings for treasurers

Thanks to accurate algorithms applied to monthly cash in, improving the reliability of liquidity forecasts and generating greater control over key decisions.

Solution details

Data augmentation & business applications

CRIF Business Intelligence and Data Analytics involves planning, designing, and delivering data science business applications based on proprietary, open, web, alternative, and big data. A data-driven transformation, where data translators and data scientists responsibly transform data into use cases and business impacts, such as:

Setting up new data-driven applications to tackle the threats of climate-related risks.
Identifying, collecting, and systematizing ESG and climate-related data to develop business and property risk predictions.
Identifying the value of business chains for economically sustainable business development, identifying contagion effects of risk and virtuous circles linked to a network of companies.
Educating and engaging individuals and companies to reduce environmental impacts, identifying their CO₂ impact (carbon footprint index) based on calculations for all digital financial transactions.

Greater efficiency in a variety of processes

By innovating data use, CRIF can improve efficiency in many different processes and industries, such as:

Pricing sophistication.
Campaign performance, targeting companies and consumers.
Handling of false positives in transaction monitoring systems.
Fighting fraud and false positives in transaction and application processing domains.
Optimizing the reliability of liquidity forecasts for treasurers.
Complying with ESG and transition risk regulatory requirements.