SECTOR BANKING & INSURANCE

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Make your financial information reliable, manage risks, and adopt sustainable, agile, and innovative business practices.

Orange Bank puts data at the heart of its strategy

Head of Reporting and Management at ORANGE BANK, Meryem GUERROUANI answered some of our questions about digital transformation through data.

The challenge? Making data available to manage, optimize, and improve business, sales, and performance.

How is BNP PERSONAL FINANCE improving the management of its sales and marketing department?

Data-driven marketingrelies on the cross-referencing of internal, external, historical, and dynamic information (data), enabling marketers to better manage their campaigns.

A controlled approach increases performance and customer satisfaction while streamlining costs. Aligning teams, processes, and choosing the right tools are the pillars of a successful strategy.

WELCOME THE DATA INTO YOUR ORGANIZATION AND
ENTER THE NEW ERA THAT IS COMING

bank

Banks

The banking sector is making greater use of data to improve customer experience,
assess risks, and combat fraud. Predictive analytics and
machine learning techniques help identify patterns and trends to
offer personalized products and services.

Insurance

Data mining is transforming the insurance industry, offering opportunities
for innovation. Data is used to assess risks more accurately, offer personalized and tailored products
and services, improve processes, and make
quick and more strategic business decisions.

investment fund

Investment fund

Bringing a new approach to the sector, data plays
an increasingly important role in identifying market trends,
optimizing portfolios, and offering personalized advice to
its various clients, enabling more informed and effective decision-making.

BECOME A PIONEER THROUGH DATA

Risk prevention
By using data-driven forecasting models, the banking and insurance sector assesses future risks and takes preventive measures to minimize potential losses. This involves shifting from an approach that requires costly and time-consuming corrective action to a preventive approach that aims to anticipate problems before they occur.
Enhance the customer experience
Access personalized offers and services tailored to individual customer needs, providing faster and more efficient interactions through automation and customer data analysis.
Decision-making
Gain insights into market trends, investment risks, and opportunities. Using advanced data analytics, banks and insurance companies make more informed decisions about pricing, insurance underwriting, investment, and risk management, which can help improve business profitability.
Asset management
The use of data also makes it possible to monitor asset performance in real time, detect trends and potential risks, and take preventive measures accordingly.

MYDRAL, BNP REFERENCE TABLE EXPERT

A relationship that led to the development of BI across BNP Paribas entities .

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+ 8 years of collaboration

in supporting the digitalization of the BNP Paribas Group.
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+300 dashboards

enable better decision-making.
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+250 people trained

on Tableau, Knime, Alteryx, and Dataiku solutions within the BNP Paribas Group.

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