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

iziday

Iziday, société de conseil en data, a pour objectif de rendre les données accessibles et significatives pour toutes les parties prenantes des entreprises.
 
Notre approche implique la centralisation et la structuration des données afin de proposer des tableaux de bords fiables et entièrement automatisés.

Co-fondateur

Yodata

Formation et accompagnement à destination des services financiers de PME : 
- Power BI : Création de dashboards automatisés ; 
- Snowflake : Centralisation des données et optimisation d'un datawarehouse.

Coach Data

Hermès

Administration de la plateforme Snowflake de hermès :
- Gestion RBAC ;
- FinOps - gestion et planification des coûts ;
- Surveillance et optimisation des performances ;
- Création du socle Snowflake.

Administration Snowflake

emlyon business school

J'interviens à l'EM Lyon pour apprendre aux élèves à coder sur les deux langages incontournables en data : Python & SQL

Professeur

Pernod Ricard

Membre de l'équipe CoE (centre d'excellence)
Nettoyage et transformation des données à destination des data scientists
Stack : Snowflake, Python, Databricks, Power BI, Azure Devops

Data Engineer

OpenClassrooms

Mentor sur les parcours : 
- Data Scientist
- Data Analyst

Mentor

Mise en place d'un modèle de prédiction de rendement du blé
Stack : Python, Azure DevOps

Data scientist

Groupe BPCE

Stochastic modeling
Reviewed Natixis models used by traders (Repos, volatility swap & variance swap).

Quant - Inspection Générale

NG Finance

NG Finance is an expert in company and discrete asset valuation (i.e. tangible and intangible constituents for sale or litigation).

Priced preferred shares (Black & Scholes, Monte-Carlo& trinomial tree).
Valued firms from different sectors (Insurtech, automotive, technology).

Financial analyst

Iron Group

- Gestion des bases de données (MySQL) et des process ETL mensuels
- Analyse des KPIs
- A/B Test des différentes offres

Data Analyst

Iziday soutient les directions financières dans la mise en œuvre de leurs projets liés aux données.

Nos objectifs : 
- Garantir la fiabilité des reportings financiers de nos clients ;
- Automatiser les tâches à faible valeur ajoutée au sein des équipes ;
- Favoriser l'acculturation aux pratiques liées aux données dans les équipes ;
- Veiller au respect des normes réglementaires et des reportings extra-financiers (RGPD, CSRD, etc.) ;
- Renforcer la sécurité des données.

Si l'un de ces enjeux vous concerne : 
➡️ https://calendly.com/lucas-iziday/presentation-de-son-projet-data

taplio

The Battle

Luca Zanna

Lucas Villain

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