DATA & AI STRATEGY
Accelerate your transformation by illuminating your strategic roadmap with data intelligence
Immerse yourself in transformative data, the foundation of artificial intelligence
Transform your organisation into a data-driven and AI-ready business: leverage your data, accelerate decision-making, automate key processes, and identify new drivers of sustainable growth. This will free up your teams to focus their energy on what they do best.
Offer strategy
Anticipate expectations and build an offer that is fully aligned with your clients' dynamics and market developments.
Anticipate expectations and build an offer that is fully aligned with your clients' dynamics and market developments. Support your company's growth with an efficient go-to-market strategy and the most appropriate sales paths.
Marketing strategy
Stay ahead of consumer behaviour across all segments.
Deploy a data-driven strategy to increase client lifetime value and ensure engagement throughout the entire client journey. .
Marketing Mix Modeling
Discover the true performance of your marketing campaigns.
Discover the true performance of your marketing campaigns, measure the impact of your paid, owned and earned (POE) investments, and adjust your spending across different media and channels. Essential for optimising resource allocation, our MMM tool is designed by scientists who have no advertising space to sell.
Revenue Gross Management
Improve your topline by leveraging price, promotion and supply.
Augmented by data and AI, your RGM will deliver efficiency gains, better forecasting and highly accurate management.
Inventory optimisation
Manage your inventory with agility and reduce costs using predictive tools and optimised management strategies.
Build a network of points of sale tailored to your client base and adjust the offering at each point of sale to the potential and expectations of its clients.
OUR EXPERTISE
Refine your insights, boost your performance
Every company has valuable insights into its market, clients and products. Our role is to transform these insights into concrete, measured and effective decisions. We help offer, product, marketing and strategic departments to build differentiated and profitable offers that meet client expectations while supporting financial ambitions.
Our expertise is based on two strengths: mastery of advanced analytical methods and a detailed understanding of market dynamics. We design go-to-market strategies tailored to specific sectors, optimise collection structure and product mix, model demand and identify pockets of value. We support organisations in defining their implementation strategy and brands in promoting their partnerships.
By objectifying client knowledge and conducting in-depth analysis of market segments, we create innovative and distinctive pathways in both industry and fashion. Data intelligence is used to secure strategic choices by integrating operational and financial issues.
With creativity and rigour, we enable our clients to go beyond their initial intuition, objectify their decisions, generate team buy-in and sustainably increase their performance.
OUR BUSINESS CASES
Building a data strategy for a group of airlines
Veltys assisted a large group of airlines in designing their data strategy by identifying the major projects needed to leverage their data, their roadmap and the development of key enablers.
Context
Within the group's 25 departments, data practices were already well established, but data remained the preserve of specialists: out of more than 30,000 employees, only 1,000 experts actually handled data.
With the Covid crisis, the conviction grew stronger: to cope with uncertainty, data must be better shared, better understood and better exploited. The group sought support for a collective and sustainable data transformation.
Method
We mobilised more than 100 employees from all business lines in open ideation workshops. Inspiration sessions provided concrete examples from the transport, energy and retail sectors. A map identifying the 15 key projects and the conditions for their implementation was jointly developed, aligned with the business needs and priorities of the group.
Results
A clear and shared vision that provides a robust framework for implementing the group's data strategy.
165 use cases were detailed, translating business needs into concrete opportunities. All of this was structured around 15 priority projects, designed to break down data silos and put data to work for operational performance.
Structuring data governance in a decentralised retail organisation
Veltys supported the Chief Digital Officer in implementing governance tailored to her regionalised model in order to unlock the potential of data and AI initiatives across the business lines.
Context
The group operates under a highly decentralised model, with autonomy being part of its DNA, both at the point of sale and in regional entities.
Any data governance approach must take this complex organisation into account to ensure the alignment and transformation of data and AI uses. The challenge is to create a structured framework without stifling local initiative.
Method
We have structured governance based on accountability, with defined roles and community leadership.
Operational processes have been designed around data quality: existing documentation, interviews, IT data feedback, multi-stakeholder redesign workshops.
Actions have been focused on a concrete objective: data quality and its real impact on business lines. Structuring tools such as a project prioritisation matrix and quality monitoring dashboards were custom-designed.
Results
The quality dynamic has been launched, piloted and connected to business challenges.
Roles have been defined and integrated into a structured data programme that gives meaning and creates buy-in. Business issues have been addressed, with immediate fixes and sustainable solutions as part of the redesign and migration of data tools. The programme is grounded in reality, with concrete benefits for team performance.
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.
Automatically structuring a technical database using AI and image recognition
A major leisure company wants to automate the collection and structuring of technical information about its products in order to optimise its business and develop new offerings.
Context
The client receives technical information from more than 50 suppliers in the form of image documents or scans, covering more than 500 products and around 20 characteristics per product. The lack of consistency between formats makes this information unusable for optimisation projects. The systematic and continuous collection of this data is crucial for developing new uses, improving operational performance and supporting decision-making. The client wanted to implement an automated, proprietary methodology capable of integrating new product information and gradually extending the scope to less priority features.
Method
We have developed an image recognition algorithm to automatically extract technical information from documents sent by suppliers. The approach was designed to consistently process heterogeneous formats and automate the continuous integration of new data. The proprietary algorithm ensures data confidentiality.
Results
The algorithm now automatically collects and structures technical information for all these products, making the data immediately usable for analysis and optimisation projects. The client has a structured, scalable database that facilitates the development of new BUSINESS CASES and continuous improvement in operational performance.
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