Customer data is the most important source of information that a business has!

This very rich information is often dormant ... are you using your customer data to its full potential?


Customer interaction experience (demo)

API Computer Quizz (english)

Company mission

Founded by Guy Mercier,

Photo Guy Mercier

MMBD offers cutting-edge expertise in analytical marketing (Python, R, SAS), including enrichment, modelling and data analysis transactional, data compiled from different contact points and customer interaction.

Customer data is omnipresent

  • Invoices, transactions and data from contact points with the clientele ... the « touchpoints »
  • Data from Geolocation mapping and where customers come from
  • Data from the telephone call register (incoming, outgoing) of customer service
  • Chronological data of inventories (SKU) and movements of store customers
  • Data, traces of our daily newspaper compiled from social media
  • Visitor data on your WEB site IP geolocation and domain name
  • Data from your direct marketing campaigns, mailings and flyers, etc.

In fact, what data should we prioritize?

What types of analyzes are useful and profitable in the short and medium term?

How much does it all cost?

Faced with these unknowns, it is important to keep our bearings firmly anchored in our business reality ...

Call us: 514 992-2574

Trend: Change in sales by industry (%)


Industry sample, Seasonally adjusted data — August 2020 vs August 2019

Source : Statistics Canada

Bulletin Board (RSS) : Articles for the Dadas of Data


Applying Python’s Explode Function to Pandas DataFrames Read this applied Python method to solve the issue of accessing column by date/ year using the Pandas library and … 2021-05-07 16:00

We Don’t Need Data Engineers, We Need Better Tools for Data Scientists In today's data science jobs landscape, a variety of roles are being filled from specialized engineering positions to the more … 2021-05-07 14:00

Data Preparation in SQL, with Cheat Sheet! If your raw data is in a SQL-based data lake, why spend the time and money to export the data … 2021-05-07 12:00

A Comprehensive Guide to Ensemble Learning – Exactly What You Need to Know This article covers ensemble learning methods, and exactly what you need to know in order to understand and implement them. 2021-05-06 16:00

Feature stores – how to avoid feeling that every day is Groundhog Day Feature stores stop the duplication of each task in the ML lifecycle. You can reuse features and pipelines for different … 2021-05-06 14:00

What is Neural Search? And how to get started with it with no prior experience in Machine Learning. 2021-05-06 12:00

Rebuilding My 7 Python Projects This is how I rebuilt My Python Projects: Data Science, Web Development & Android Apps. 2021-05-05 16:00

What makes a winning entry in a Machine Learning competition? So you want to show your grit in a Kaggle-style competition? Many, many others have the same idea, including domain … 2021-05-05 14:00

The Machine Learning Research Championed by the Biggest AI Labs in the World How Google, Microsoft, Facebook, DeepMind, OpenAI, Amazon and IBM think about the future of AI. 2021-05-05 12:00

KDnuggets™ News 21:n17, May 5: Charticulator: Microsoft Research open-source game-changing Data Visualization platform; Data Science to Predict and Prevent Real World Problems Charticulator: Microsoft Research game-changing Data Visualization platform; How Data Science is used to predict and prevent real world problems; Hilarious … 2021-05-05 09:00

How to get started managing data quality with SQL and scale Silent data quality issues are the biggest problem facing data teams today, who are flying blind with no systems or … 2021-05-04 17:00

Deploy a Dockerized FastAPI App to Google Cloud Platform A short guide to deploying a Dockerized Python app to Google Cloud Platform using Cloud Run and a SQL instance. 2021-05-04 16:00

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... Lear to Make your data talk