Consulting

Define, deploy, and scale your Finance, Data, and AI initiatives

Our consulting engagements are rooted in our clients' operational challenges: regulatory reporting, self-service analytics, and generative AI.

From a 4-week strategic assessment to a multi-year roadmap, every deliverable is well-reasoned, ready for executive committee presentation, and actionable for your teams long after the project ends.

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TRUSTED BY GREAT COMPANIES

Three key areas where our consulting practice makes the difference.

We tailor our approach to your needs: quick scoping to secure a program, embedded consultants to accelerate delivery, training to empower your teams for the long term, or a part-time CFO to structure the management of a scale-up. Four complementary modes that can be combined throughout your project journey.

01

Regulatory reporting

Industrializing the most critical production chains.

AnaCredit, FINREP/COREP, ECB Loan Tape, Basel, IFRS, Solvency. We support Finance, Risk, and Compliance departments from initial scoping to the industrialization of regulatory production chains. Our consultants combine functional expertise in the regulatory domain with technical mastery of production platforms.

02

Self-Service Analytics and Centers of Excellence

Deploying data at scale, sustainably.

Alteryx, Power BI, Snowflake, Databricks. We deploy large-scale Self-Service Analytics platforms and design the Data Centers of Excellence that ensure their longevity: training, governance, user communities, and change management. A framework designed to establish a sustainable analytical culture.

03

Generative AI and industrialization

From idea to AI use case in production.

We support our clients from use case scoping to production deployment. This includes generative AI and RAG architectures connected to your business repositories, specialized AI agents, Machine Learning model industrialization (segmentation, scoring, anomaly detection), and MLOps and responsible AI frameworks aligned with the AI Act. Our Prime AI methodology structures this approach for finance departments.

Since 2018, a consulting practice supporting the most demanding transformations.

Our consultants have supported the largest French banking, insurance, and industrial groups on their most critical initiatives. Our consulting practice is built around three signature service offerings, all rooted in a concrete track record.

50

+

consulting projects completed

10

K+

man-days saved for our clients

2

K+

use cases identified

20

+

major accounts supported

Our 3 signature service offerings

bolt

Rapid program scoping

In 4 to 8 weeks, establish an actionable roadmap with a business case ready for executive committee approval. A fast-track format designed for leadership teams that need to make quick decisions on data, AI, or regulatory reporting strategies.

engineering

Industrialization in regulated environments

Scale an AI or data use case from POC to production, meeting the robustness and auditability standards required by banking and insurance regulators. Includes MLOps, monitoring, operational governance, and end-to-end traceability.

groups

Enterprise-wide adoption

Deploy a data platform (Alteryx, Snowflake, Databricks) to hundreds or even thousands of users, supported by a Center of Excellence, governance, and change management to ensure long-term sustainability.

Our methodology

Whether for a 6-week consulting engagement or a multi-year transformation program, our missions are structured around four phases. They are not always linear: some overlap, others repeat. But they always structure our approach to the mission lifecycle.

Scoping

Context diagnosis, alignment of objectives with management, prioritization of high-value use cases, and qualification of constraints (regulatory, technical, budgetary). This phase can take 2 to 8 weeks depending on the scope. It produces a scoping document, an actionable roadmap, and a defensible business case.

02. Design

Target architecture, technical choices, data modeling, and prototyping of priority use cases. First tangible deliverable(s): Alteryx workflow, ML model, or AI agent prototype, tested with business teams. This is the phase where the project moves from paper to reality.

03. Industrialization

Scaling up: automation, deployment, monitoring, and operational governance. We implement MLOps frameworks where necessary, integrated quality controls, and end-to-end traceability. This is the most technically demanding phase, where many AI projects fail and where our expertise makes the difference.

04. Empowerment

Knowledge transfer, training, and support for your teams as they get up to speed. Our goal is never to create dependency: our missions aim for the client's progressive autonomy. We train experts, provide documentation, and remain available for future developments.

AI-Powered Development

Build an AI prototype in one day, with your business teams.

To ensure our clients don't have to wait 6 to 9 months between scoping an AI use case and seeing the first demo, we developed our own methodology. In one immersive day, we create 2 to 5 functional AI prototypes, co-built with your business teams. Not mockups. Real, working applications that respond and deliver value.

The 6 steps of our AI-Powered Development methodology
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30 minutes with our consulting experts.

A free, direct discussion about your Finance, Data, or AI project. We will understand your context, share our perspective, and identify the most suitable scoping approach for your timeline.

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Success story

Use Case - Industrializing Basel IV reporting for €120 billion in capital

Major international French banking group

Faced with the increasing demands of CRR3 regarding Basel IV impact simulation, a major French banking group tasked Prime Analytics with the scoping and subsequent industrialization of a regulatory capital simulator. In just a few weeks, the solution enabled the simulation of the new rules' impact on €120 billion in capital, processing one million lines in under 10 minutes. An iconic case study of the value that rigorous consulting scoping, followed by meticulous industrialization, brings to a high-priority regulatory project.

120

M

of capital impacted

1

years

lines processed in 10 minutes

1

Industrialized Basel IV simulator

Multi

-modes

Consulting + Industrialization

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Case Studies

Data Engineering
Building a Customer Churn Analysis for Data Protection Software Company

17.5%17.5%17.5%

Reduction in logistics costs

$20M+$20M+$20M+

In new revenue opportunities

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Data & AI
Building a Customer Churn Analysis for Data Protection Software Company

17.5%17.5%17.5%

Reduction in logistics costs

$20M+$20M+$20M+

In new revenue opportunities

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Overview
Building a Customer Churn Analysis for Data Protection Software Company

17.5%

Reduction in logistics costs

$20M+

In new revenue opportunities

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Regulatory Reporting
Automating AnaCredit Reporting with Alteryx

−87%

effort vs initial budget

22M+

validated data points

READ THE USE CASE
Prudential Reporting
Industrialize Loan Tape reporting to meet ECB deadlines

7 days → 48 hours

of production

240

consolidated metrics

READ THE USE CASE
Training
Train IT, Data & IT teams in corporate credit

300+

trained employees

4 days

journey

READ THE USE CASE
Banking
UIB (Société Générale Group) is building its Smart Data Hub with Prime Analytics and Alteryx

12+

Data & AI use cases operationalized in 2 years

900K

customers covered by the Smart Data Hub

READ THE USE CASE
Adoption at scale
Deploy Alteryx to 700+ Finance users

700+

licenses deployed

5 years

of trajectory

READ THE USE CASE
Regulatory Reporting
Automate FINREP/COREP cross-reporting controls

350

automated controls

-99%

of production time

READ THE USE CASE
Operational Risk
Thoroughly audit 900,000 customer expense reports

900K

audited files

+€11M

of controlled risk

READ THE USE CASE
Credit risk
Simulate the Basel IV impact on €120B of capital

€120B

of capital impacted

1M

lines processed in 10 min

READ THE USE CASE
Self-Service Analytics
Democratizing Self-Service Analytics in a Large Bank

40%

faster

100%

compliance

READ THE USE CASE
Machine Learning
Operationalizing customer insights with Machine Learning

−99.7%

processing time

27 sec

ML execution

READ THE USE CASE
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A team of leaders who get on the ground.

Our consulting engagements are led by operational leaders who work directly alongside our clients. As founders, executives, and subject matter experts, they bring a dual perspective from both consulting and industry to support your most critical initiatives.

Skander Mezghani

CEO & Co-Founder

Skander co-founded Prime Analytics in 2018 with the conviction that banks and large corporations needed a consulting partner capable of delivering both strategic vision and technical execution. He oversees the firm's overall strategy, key account relationships, and the development of the Data & AI practice. He is personally involved in strategic scoping missions and multi-year roadmaps for major French banking, insurance, and industrial players.

François Cortezon

CTO & Co-Founder

As the creator of our AI Data Quality framework for Alteryx, François is our go-to Alteryx expert. He leads R&D, technical solution architecture, and the development of our AI tools, both internally and for our clients. His dual expertise in analytical platforms and LLMs makes him a unique point of contact for projects that combine data industrialization with AI integration.

Majed Keskes

AI Catalyst / Consulting & Software Development BU Director

Majed leads Prime Analytics' Consulting and Software Development practice. As an AI Catalyst, he drives the integration of generative and agentic AI into client engagements, from strategic scoping to industrialization. He specializes in projects where AI must be integrated into existing production chains, while navigating the associated governance and compliance requirements.

Oussema Ben Aziza

Consulting Business Unit Director

Oussema leads the delivery of our major transformation programs. He works on our clients' most demanding projects, including regulatory reporting, data industrialization, and large-scale adoption. His hands-on experience in investment banking and his ability to combine program vision with operational execution make him a key partner for Finance, Risk, and Compliance departments.

Senior consultants with triple expertise: Finance business knowledge, data, and applied AI.

Our consultants combine operational experience in Finance, Risk, or Management Control with a strong background in data and AI. They are equally adept at scoping a Machine Learning use case, challenging a model, and deploying it within your existing technical environment rather than imposing their own.

This triple expertise allows them to engage effectively with both your business stakeholders and technical teams, delivering immediately actionable assets—models, dashboards, and automations.

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DATA PARTNER

Why choose Prime Analytics?

Prime Analytics is a trusted partner that transforms your data into a strategic advantage through data engineering, Machine Learning, and generative AI — always focused on your Finance, Risk, and Compliance challenges. We design intelligent and scalable solutions, tailored to the most complex challenges faced by Finance functions in banking and insurance.Prime Analytics is a trusted partner, committed to working alongside its clients to transform their data into a true strategic asset. Thanks to cutting-edge expertise and the most advanced technologies, we design intelligent and scalable solutions, adapted to the most complex challenges.

Trusted Partner for Financial Institutions

Dual-skilled expert consultants

Continuous Training with Prime Academy

Certifications and Recognized Expertise

Rapid Integration and Cultural Fit

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