TADA® Augmented Analytics for Every Professional

TADA analyzes in depth your data, starting with Small Data
No data science or coding skills required!

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Start making sense
of your data

or test TADA with our sample data

How to use TADA?

Watch all the videos to discover how to use TADA:

You have two choices. You can start either from one of our use cases by clicking on “create from use case”, or from your own dataset by clicking on “create new project”.

In this case, we created a project from our own data set. To do this, select the file you want to load. Your data will then be visible for you to browse.

TADA, is an Augmented Analytics solution, that can be used for solving a wide range of problems. See below our case studies:

AI for Gas Supply Chain Optimisation

Read this use case to understand how to anticipate the amount of gas to have readily available in storage at any one point in time?...

Artificial Intelligence for Sales Prediction

Discover how to use predictive analytics for sales prediction and understand the impact of each factor on the total sales. ...

Predicting Customer Recommendation for an Internet Service Provider

How can an ISP provider use Artificial Intelligence to beat the competition while maintaining the same level of spending? ...
breast cancer

Breast Cancer Prediction for Improved Diagnosis

Is it possible, thanks to machine learning, to improve breast cancer prediction? Oncologists and medical staff face the challenge of identifying breast cancer as early as possible and TADA makes it possible....

Discover MyDataModels:

Augmented Analytics for your everyday’s job. Results in just a few minutes.


Check our latest news

Loamics and MyDataModels

Loamics and MyDataModels have joined forces to launch an Augmented Analytics solution optimising data exploitation

TADA vidéo demo

How to use TADA, our Augmented Analytics Platform

Event Vivatech 2021

MyDataModels participates in Viva Technology 2021: “The place to be” for technology and startups!

MyDataModels recognized by Gartner as a “Sample Vendor” for Enterprise Information Management, Small Data in 2020