Bayesian inference for better predictions of magazine sales
This article describes how Ekimetrics helped major press publishers using Bayesian inference for sales prediction.
Newsletter for April 2022
We are now at the start of May and we release our 4th Newsletter! Ranging from podcasts to tutorials, this Newsletter is made for practicioners!
Deploying your Data Science app to the Cloud
Let's explore how we, at Ekimetrics, automate the deployment of our data apps on the cloud. This article will gather elements from our internal & external workshops presented at Datacraft and also the video presenting some docker best practices for industrialization.
Newsletter for March 2022
Ekimetrics is pleased to release its third Newsletter for the year 2022! A new feature has now been added which is a special section detailing some news that we would like to share but are not specifically linked to one of our main categories. As usual, do not hesitate to check the links added and of course using it live during your projects!
Power BI - Improve your development process by using multiple environments
Learn in this article why and how to use different environments when developing products in Power BI.
Newsletter for February 2022
Ekimetrics is pleased to release its second Newsletter of 2022! This cheat sheet will brief you quickly about the latest news in the fields of Data Science, Machine Learning, Data Engineering and Application Development. Warning this one is particularly ruled by DeepMind so be prepared!
Demand Forecasting - Improving Supply Chain operations in uncertain times
Learn in this article how we industrialized a solution for warehouse demand forecasting to help Operations managers better allocate resources for more than 20.000 referenced products
Ekimetrics implements Data Mesh. Here is why, and why you should join us
This article describes one of the inspirational patterns that drive our projects’ data architectures, the Data Mesh.
Building a datalake - Part 1 - Usable, Useful, Used, or how to avoid dataswamp and empty shell traps
In this article, learn how to create your first datalake following best practices in order to make it robust, evolutive and central to your company's information architecture, as well as take advantage of the opportunities it presents.