Finance BI

We build modern data infrastructure on Azure

Building on the cloud is hard. But it can give your company the flexibility it needs to do business in this fast changing world.

We can help you build a solid, flexible and cost-effective solution.

We are experts in Microsoft Azure and Databricks solutions, and have helped over 50 companies in their transformations across the years.

Ready for data to speed up your business instead of slowing it down? Let’s chat

Owner and Azure Data Consultant

Data Walnut

You worked hard to get your B2C e-commerce store off the ground. And now it’s doing well

But what is the potential of your store: how much better can it do ?

What would happen if you knew the customer lifetime value and could segment your customers ? 
And then find the best action for each segment?
What would happen if you knew the ROI of your marketing campaigns ?
What would happen if you knew the customers at risk of churn and how to retain them ?

You already have all the data, now it’s about getting your data to work for you.

Let’s take your store to the next level together

Founder

L'Oréal

Data and Finance Manager

Unilever

Strategy Analyst

Golder Associates (Italy)

Controller

Academy of Math and Science (USA)

Accountant/Controller

CPA turned Data Engineer: cut data crunching by 10 hours/week with automated processing and data quality checks ⚡️Azure - Databricks - Power BI

I can help you leverage your data in 2 ways:

1- Consulting activity: Azure data consulting
I help companies build a modern data infrastructure (data lake, data warehouse) on the Azure cloud.
Expertise: Azure, Synapse, Databricks, SQL, Python, Power BI

2- Data product: help e-commerce sites with customer retention
My solution helps e-commerce sites segment their customers, approach the segments differently and increase retention.
Expertise: Customer lifetime value, customer retention, customer upsell, B2C e-commerce.

Luca Zanna

naas.ai

Leading the development of an open Universal Data & AI Platform to help organizations create powerful ecosystems of AI assistants

- Leveraging ontologies as a unifying field between data, AI models, workflows, analytics, and external systems
- Driving innovation in making data and AI accessible and affordable for organizations of all sizes
- Overseeing product development, business strategy, partnerships and team management

Founder & CEO

Forvis Mazars Group

Advising on projects from strategy to execution for Data & AI Products

- Focusing on creating profitable, auditable, and trustworthy AI solutions for clients
- Providing expert guidance on integrating data and AI technologies into business processes
- Assisting in developing strategies for AI adoption and implementation across various industries
- Collaborating with cross-functional teams to ensure successful delivery of data and AI initiatives

Senior Advisor, Data & AI Services

University at Buffalo

Conducting research on how executable ontologies can serve as a universal method for AI assistants/agents alignment, explainability, and compliance

- Exploring the intersection of philosophy, technology, and business in the context of AI systems
- Contributing to academic publications and presentations in the field of applied ontology and AI
- Collaborating with interdisciplinary teams to advance the understanding and application of ontologies in AI

Research Associate in Applied Ontology, Department of Philosophy

CashStory

Automation services company for business professionals.

- Developed a framework to help professionals approach data, automation & AI through Education and Open source products.
- Trained business professionals on how to take back control over their data and build an infinite solution maker mindset.
- Strived to build a better way to see financial & extra-financial information for wiser decision making, taking into consideration environmental issues & well being as much as cash, profit and value.

Technip

Technip, Paris, France (World leader in project management and engineering in the energy industry | Listed on NYSE EURONEXT CAC 40) 

Corporate Cash Manager, Group Treasury Department, April 2013 – Present  

Group Treasury Cash Management

• Perform daily treasury management and driving global liquidity initiatives
• Monitor Cash flows (by nature and by projects), Debt and Working Capital Requirement actuals and forecasts.
• Drive implementation of new structures to maximize cash available at HQ and minimize operational cash balances 
• Work with the treasury senior management on board/other executive presentations
• Develop sound relationships with banking partners for  Working Capital Management, Financial result optimization
• Act in constant relation with internal constituencies (Strategy, Group Consolidation, Tax, Legal, IT, Compliance)

Strategic Business Systems & Process Management 

• Project Manager/Administrator of the Group Treasury Systems (Diapason / Treasury Management Software, Hyperion / Business Intelligence tool) focusing on the continuous development of new functionalities. and implementation of the TMS
• Define cash management and Treasury system architecture of the future
• Lead cross organizational partnership for proposed treasury and finance strategy
• Develop clear project plans and ownership metrics (KPI’s) to drive accountability and execution throughout the group treasury organization.

Group Cash Manager

ESI Group

ESI Group, Paris, France (Pioneer and world-leading provider in Virtual Prototyping | Listed on NYSE EURONEXT Part C) 

Corporate Cash Controller, Financial Controlling, July 2011 – April 2013 

• Work closely with Board members (CEO, CFO, Director of Financial Operations) to integrate Cash in the financial monitoring of the group: development of Cash-flow reporting process, Balance Scorecard KPI's, bi-monthly cash flow anaysis consolidation, monthly usage during the Board. 

• In depth analysis of the financial impact of French R&D Tax Credit (Crédit d'impôt recherche), Taxes and Working Capital Management

• Build operating excel models at local and group level to challenge Cash forecast direct method

Cash Control Project Manager

Brittany Ferries

Onboard Sales

Schneider Electric

Schneider Electric, Chartres de Bretagne, France (Worldwide energy solution provider | Listed on NYSE EURONEXT Part A) 

Supply Chain Financial and Administrative Intern, Region EMEA and Asia Pacific, March 2009 – June 2009 

• Contact with clients/providers for credit collection (means and delay of payment) 

• Internal logistics control, order entry and invoicing and follow-up on orders in SAP  

• Relationship with logistics companies and shipping agents

Supply Chain Financial and Administrative intern

Comité National Olympique et Sportif Français

Membre du Club France aux Jeux Olympiques de Pékin 2008, Novotel Xin Qiao, Pékin, Chine
Au sein de l’équipe Réceptions/Bar: organisation events officiels & médias, soirées des médaillés, permanence journalière

Volontaire, Jeux Olympiques de Pékin 2008 (Beijing 2008)

Parker Hannifin

Mission in 2 subsidies : New Delhi, Inde (May 2008), Singapore (June 2008)
Objective : realize a qualitative study before the launch of a new product in Asia (focus on India)

Marketing Intern (May 2008 : New Delhi,Inde + June 2008 : Singapour)

⚡️ Building @naas.ai - open source data platform | Stanford LEAD alumni | Data strategy & mentoring

I'm Jeremy Ravenel. I’m a farm boy turned data mercenary and now an entrepreneur, I'm passionate about practical innovation to make our digital lives less chaotic.

I help people and companies create data & AI products that make their work easier and more efficient.

My journey started in finance about a decade ago. I thought I was entering an automated business world, but reality hit when I had to build reports using Excel and VBA. Spending more time producing than analyzing wasn't what I had in mind.

Out of frustration, I learned to code. I discovered Python and Jupyter notebooks, and suddenly, things that took hours were done in seconds. This led me to found CashStory, where we helped big French companies bridge the gap between business and tech teams.

Now, I'm working on something really challenging. At Naas.ai, we're building an open Universal Data & AI Platform. Our goal is to help any organization create their powerful ecosystem of AI assistants; leveraging ontologies as a unifying field between data, AI models, workflows, analytics, and external systems.

But that's not all. I'm also diving into research on Applied Ontology at the University at Buffalo, looking at how we can make AI systems more understandable and trustworthy. I'm also advising companies on Data and AI from strategy to execution with Forvis Mazars.

This mix of research, hands-on platform development, and strategy is something I’ve been dreaming about. I'm feeling very grateful for the opportunity to do what I'm passionate about at the intersection of philosophy, tech, and business.

I think anyone should be able to turn their data into a valuable asset. I try to build bridges to make it happen.

If you're curious about how data and AI can make your work easier and more impactful, let's connect!
Here is my email: jeremy@naas.ai

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