Company mission
Founded by 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 ...
Trend: Change in sales by industry (%)
Industry sample, Seasonally adjusted data — August 2020 vs August 2019
Bulletin Board (RSS) : Articles for the Dadas of Data
Featured Blog Posts - Data Science …
DSC Thursday News, 26 Nov 2020 DSC Thursday News, 26 Nov 2020… 2020-11-26 04:41
The most common mistake people make in mid-career transition to AI AI will impact many jobs and COVID has only accelerated this trend Based on my teaching at the University of … 2020-11-23 21:46
External Change Drivers that will Impact Work and Professions In my previous post, What’s Driving the Future of Work and Professions?, I mentioned PESTLE as a helpful framework for … 2020-11-23 15:00
Artificial Intelligence- The Technology Growth Driver for Banking Services Across industries and enterprises, AI has been the key growth driver, and this is mainly due to the services offered … 2020-11-24 12:30
Data Science Central Weekly Digest, 23 Nov 2020 Data Science Central Weekly Digest, 23 Nov… 2020-11-24 04:41
Introducing an All-purpose, Robust, Fast, Simple Non-linear Regression The model-free, data-driven technique discussed here is so basic that it can easily be implemented in Excel, and we actually … 2020-11-24 03:00
How Can Your Organization Manage AI Model Biases? I’ve been reading the interesting and soul-searching (from a data scientist perspective) book from Cathy O’Neil titled “Weapons of Math … 2020-11-22 20:20
Elements of a Viable Machine Learning Algorithm Being an expert at developing and understanding ML, or Machine Learning algorithms, takes time and a lot of hard work. … 2020-11-23 04:30
Time-Series Feature Extraction with Easy One Line of Python Code Introduction and Motivation It is becoming increasingly common for organizations to collect very large amounts of data over time, and … 2020-11-19 09:22
The State of the Art in Implementing Machine Learning for Mobile Apps Mobile applications based on machine learning are reshaping and affecting many aspects of our lives. Implementing machine learning on mobile … 2020-11-19 20:00
Intelligent Automation – Just Add AI to your RPA Summary: Let’s start by clarifying the difference between RPA (Robotic Process Automation) and IA (Intelligent Automation). Then we’ll show why … 2020-11-18 18:00
AI/ML Applications in Law and Compliance Summary: Some industries are a clear slam-dunk for AI/ML applications and some less so. The legal, regulatory, and compliance businesses … 2020-11-04 19:00
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Make your data talk
The Analytic Marketing is a term that encompasses a large number of processing techniques and analysis of customer information with primary objective to optimize the implementation and monitoring of marketing actions.
The digest of a study carried out by the firm Deloitte in collaboration with The Institute of Communication Agencies (ICA) to 300 Chief Marketing Officer (CMO) tells us :
- 71 percent believe that one of the biggest challenges is the use of data analytics which they have to face
- 66 % use analytics to make key marketing decisions
- 51 % do not have the internal skills to take advantage of data
- 44 % some of them do not use agencies for support relative to data analysis.
Source : Analytic Marketing: Significant Gaps Between Customer Needs and the agency offer? François Nadeau, Isarta.
You have in your hands a valuable dormant resource ... a little gold mine of information you can use to :
- know and understand your customers better
- Better target your marketing efforts
- Increase your clientele and your sales
We offer you a personalized approach where we take the time to listen to you, understand your needs and offer you solutions adapted to your reality.
Expertize and mandates
Our main area of expertise relates to enrichment and database modelling, transactional data, data compiled from different customer contact points, social media.
We use a range of powerful models and tools that allowto quickly and inexpensively analyze commercial databases (Python, R, SAS).
Data analysis mandates
- Exploratory Data Analysis (EDA); Data and Text Mining
- Enrichment and optimization of customer data
- Customer profiling (socio-demographic, behavioral, transactional,RFM / B2B vertical)
- Creation of metrics and key performance indicators (KPI)
- Geomatics and provenance analysis
- Multivariate analyzes and predictive modelling: appetite score, risk and customer attrition
- Customer segmentation analysis
- Shopping Basket Analysis: Market Basket Analysis (MBA)
- Customer Lifetime Value: Customer Lifetime Value (CLTV) and Customer Equity (CE)
- Design of custom WEB applications to capture, enrich and analyze real-time customer data at touch points (Django, JQuery, AJAX, REACT, REST framework, CSS, etc.)
- Company training
MMBD also offers services to point and select the best candidates for rental lists :
- Retail stores
- Philanthropic industry
- Magazines and newspapers
- Financial sectors, insurance, banking, credit cards, etc.
... Lear to Make your data talk