Company mission
Founded in 2005 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 / 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 — April 2020 vs April 2019
Bulletin Board (RSS) : Specialized Articles for Data Scientists
Featured Blog Posts - Data Science …
AI for People and Business by Alex Castrounis (O'Reilly Media) Download chapter 1 for FREE from my book, AI for People and Business: A Framework for Better Human Experiences and … 2020-07-03 02:00
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Weekly Digest, June 29 Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is … 2020-06-28 21:00
Getting Historical Data from Yahoo Finance in R Yahoo Finance (below) is a website that gives us a good deal of information about the financial market, including information … 2020-06-26 19:01
QC Paulinesia, !(yet another book about quantum computing) Today I uploaded to github the first version of my book “QC Paulinesia” about Quantum Computing. The title is a … 2020-06-27 22:08
IoT Anomaly detection - algorithms, techniques and open source implementation Background Anomaly detection for IoT is one of the archetypal applications for IoT. Anomaly detection techniques are also used outside … 2020-06-26 19:00
Eight ways in which data science is helping in the fight against COVID19 Given the scale of its impact and the kind of alteration that it brought into our lives, COVID19 is one … 2020-06-24 15:30
Using Neural Networks to Predict Cimate Change, Droughts, and Conflict Displacements The Problem Millions of people are forced to leave their current area of residence or community due to resource shortage … 2020-06-25 12:30
Generative Adversarial Networks (GANs) & Bayesian Networks Generative Adversarial Networks (GANs) software is software for producing forgeries and imitations of data (aka synthetic data, fake data). Human … 2020-06-25 08:30
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