BANKING & INSURANCE
Leading a historic sector through its tech, data, and AI revolution
OUR EXPERTISE
Modernising practices and transforming business models
Banks and insurance companies are facing dual pressure: the rise of fintechs and insurtechs, and growing client demand for more transparent, personalised, and rapid services. These profound market transformations are linked to the triptych of platforms, data, AI, and blockchain.
Intelligent data exploitation is becoming a strategic lever for reinventing business models and client relations, strengthening risk management, and anticipating innovative uses, while complying with an increasingly demanding regulatory framework. Thanks to its academic roots and unique expertise, Veltys supports leading financial institutions in building their global data strategy and new business models. We act as a link between executive committees and business teams on both strategic issues and the management of high value-added use cases.
OUR OBJECTIVES
Providing visibility and control
We help banking and insurance players understand major market transformations, accurately assess their data maturity, and regain control of their strategy.
Transforming data into value drivers
We identify priority use cases based on business ambitions and internal context, and support their end-to-end implementation to quickly generate value.
Structure effective governance
We help our clients manage their data chain as a strategic asset, controlling risks and compliance while maximising sustainable value creation.
Taking control of a major strategic asset
Serious competition from fintech and insurtech, disintermediation, the cryptocurrency boom, payment platforms, neo-insurance companies; yesterday’s leaders are being challenged on all sides: long-standing competitors, new players, other sectors diversifying… For banks and insurance companies, the transformation of the financial sector requires reinvention.
The banking and insurance sectors produce phenomenal amounts of data thanks to extremely complex IT systems and within a restrictive regulatory framework.
The data-driven approach is particularly well suited to improving operational efficiency in core financial activities, developing new services, and even radically changing the business approach.
Data makes it possible to improve the 360-degree client view, better manage risks, improve regulatory reporting, boost sales through an “augmented sales” approach, increase client lifetime value, and maximise client satisfaction.
OUR BUSINESS CASES
Improving commercial policy by segmenting a bank's client base according to behaviour
A French banking group wanted to analyse the effect of interest rate rises on its clients' behaviour using behavioural segmentation in order to refine its commercial policy.
Context
The rise in key interest rates profoundly disrupted banks' commercial policies and forced them to quickly revise their pricing approaches. Within the Correspondent Banking and Cash Management activities, teams needed to understand how their clients were reacting to the new interest rate conditions in order to remain competitive while securing margins.
Until now, sales representatives had considerable autonomy in setting prices, without a consistent framework, which led to inconsistencies across the country and limited the rationality of decisions. The lack of shared indicators reduced the teams' ability to target clients effectively. Detailed segmentation of behaviour appeared essential to harmonise commercial policy and strengthen the consistency of decisions.
Method
Veltys collected, harmonised and processed all data relating to flows, outstanding amounts and remuneration conditions for all clients, whether national or international. Behavioural variables such as cash flow seasonality, account positivity rates and outstanding balance dynamics were constructed and then synthesised using factor analysis.
On this basis, k-means segmentation was performed to identify homogeneous client groups and assess their stability before and after the rate increase. The link with remuneration data made it possible to isolate the more or less profitable segments and estimate their sensitivity to rate variations. Finally, the data was returned to the client level, allowing for direct integration into commercial processes.
Results
The bank now has a robust segmentation of its client base, based on past behaviour and updatable thanks to an automated code. Sales teams can better understand the evolution of their portfolios, monitor client liquidity and adjust remuneration conditions in a targeted and consistent manner.
Business lines benefit from an enhanced 360° view thanks to harmonised data integrated into internal systems. The algorithm, delivered and implemented, allows for regular updates to track rate changes and ensure continuous adaptation of commercial policy.
Maximising the impact of consumer credit promotions for a major French bank
A major French bank wanted to optimise its promotional strategy for its consumer credit products in order to better manage demand and marketing return on investment.
Context
The bank wanted to understand precisely how its promotional campaigns influenced both the number of applications financed (extensive demand) and the average amount of applications financed (intensive demand). Without robust analytical tools, it was difficult to measure the real effect of each promotional lever and define an optimised strategy for its credit products.
Method
We conducted a precise quantitative breakdown of the impact of each promotional lever: type of lever, media campaign (posters, internet, TV, etc.), mobilisation of the branch network and reduction in the APR. A decision-making tool was developed to simulate and optimise campaigns according to product type, channel and schedule. The approach incorporated spillover effects, threshold effects and substitution between loans, making it possible to measure the real impact of each lever independently of the others.
Results
Developing a five-year data strategy for a business unit of a major bank
Context
Veltys assisted a business unit of one of France's largest banks in developing and implementing its five-year data strategy.
Data is becoming a major strategic lever in the banking sector. In a context of rapid transformation, a business unit of a major French bank wanted to structure its vision and build an ambitious data strategy. The objective was twofold: to align the business lines around a clear roadmap and to demonstrate the value of data in concrete terms from the very beginning.
Veltys was chosen to lead this initiative and orchestrate the necessary acculturation among the teams, so that data could become a shared tool for improving performance.
Method
Veltys consultants conducted a series of workshops with the various business lines to identify needs and bring teams together. On this basis, they built a comprehensive strategic roadmap, presented in the form of an interconnected metro map: each line represented a major data objective, each station a specific business case.
The priorities for the first 18 months were defined, existing initiatives were identified, and governance bodies were set up to ensure continuity. At the same time, Veltys helped to create and launch a Data Lab, ensuring a dynamic approach to innovation and rapid implementation.
Results
Veltys delivered an operational roadmap, directly derived from business needs, enabling data to be embedded in the Business Unit's strategy. In the first year alone, two data cases illustrated the value of this approach: an MVP for profitability analysis accompanied by an industrialisation plan, and an MVP for extending the scope of client flow analysis.
Over the following years, four complex BUSINESS CASES reinforced this strategy, demonstrating its robustness and ability to generate sustainable value. The business unit now has a clear five-year vision and a system in place to ensure its success.
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