Company mission
Founded by Guy Mercier,
MMBD offers state-of-the-art expertise in the development of WEB applications providing the capture, management and analysis of business data in real time.
Customer data is omnipresent :
- Data of goods in circulation and inventories (SKU)
- Health and safety equipment and verification cycle data
- Invoices, transactions and data from contact points with the clientele ... the « touchpoints »
- Human Resources Data from Hire to Retire
- Data from the telephone call register (incoming, outgoing) of customer service
- Customer Satisfaction Data and Representative Visits
- Data from Geolocation mapping and where customers come from
- Visitor data on your WEB site IP geolocation and domain name
- Data from your direct marketing campaigns, mailings and flyers, etc.
Initially this data... how to collect it, what tools should we utilize ?
What data should we prioritize?
Which application should we use in order to capture, manage and analyze our data ?
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 — June 2021 vs June 2020
Bulletin Board (RSS) : Articles for the Dadas of Data
Talk Python To Me
#417: Test-Driven Prompt Engineering for LLMs with Promptimize Large language models and chat-based AIs are kind of mind blowing at the moment. Many of us are playing with … 2023-05-30 08:00
#416: Open Source Sports Analytics with PySport If you're looking for fun data sets for learning, for teaching, maybe a conference talk, or even if you're just … 2023-05-22 08:00
#415: Future of Pydantic and FastAPI The release of Pydantic 2.0, its partial rewrite in Rust, and its refactoring into Pydantic core and top-level Pydantic in … 2023-05-15 08:00
#414: A Stroll Down Startup Lane At PyCon 2023, there was a section of the expo floor dedicated to new Python- based companies called Startup Row. … 2023-05-07 08:00
#413: Live from PyCon 2023 Did you make this year's PyCon event in the US? There was a lot of excitement this time around in … 2023-04-26 08:00
#412: PEP 711 - Distributing Python Binaries What if we distributed CPython, the runtime, in the same way we distributed Python packages - as prebuilt binary wheels … 2023-04-19 08:00
#411: Things I Wish Someone Had Explained To Me Sooner About Python What advice would you give someone just getting into Python? What did you learn over time through hard work and … 2023-04-14 08:00
#410: The Intersection of Tabular Data and Generative AI AI has taken the world by storm. It's gone from near zero to amazing in just a few years. We … 2023-04-06 08:00
#409: Privacy as Code with Fides We all know that privacy regulations are getting more strict. And that many of our users no longer believe that … 2023-04-01 08:00
#408: Hatch: A Modern Python Workflow In recent years, there has been a lot of experimenting how we work with dependencies and external libraries for our … 2023-03-24 08:00
#407: pytest tips and tricks for better testing If you're like most people, the simplicity and easy of getting started is a big part of pytest's appeal. But … 2023-03-18 08:00
#406: Reimagining Python's Packaging Workflows The great power of Python is its over 400,000 packages on PyPI to serve as building blocks for your app. … 2023-03-12 08:00
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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 : Marketing analytique : écarts importants entre les besoins du client et l’offre des agences ? 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 expertise is in the development of open source WEB applications, ensuring real-time data entry, management and analysis of companies data
WEB Application Development
- Application for collecting feedback and level of customer satisfaction following the order delivery
- Application for collecting data and evaluating the work of representatives in real time following their customers visit
- Data management of health and safety equipment with dynamic tables of audit schedules
- Migrating paper forms to an electronic format
- Application to collect relevant information from customers in store or at events
- Playful application, the taster game used to entertain customers and evaluate their amateur talent during wine and cheese tastings
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)
- Company training
... Lear to Make your data talk