Digital marketing is ubiquitous. Learn how you can get real and tangible results from your digital marketing campaign by building a dashboard that helps you to monitor the KPIs. Here, we will leverage the marketing campaign data using atoti and build a digital marketing dashboard from scratch.

Importance of Digital Marketing

89% of Americans go online at least daily, and 31% are online almost constantly. As a marketer, it’s important to take advantage of the digital world with an online advertising presence by building a brand and providing a great customer experience that brings more potential customers.

Digital marketing, also called…

In this article, learn one of the sought out skills for data scientists -how to generate random datasets. We will see why to synthetic data generation is important and we will explore the various Python libraries to generate synthetic data.

Introduction: Why Data Synthesis?

Testing proof of concept

As a data scientist, you can benefit from data generation since it allows you to experiment with various ways of exploring datasets, algorithms, data visualization techniques or to validate assumptions about the behavior of some method against many different datasets of your choosing.

When you have to test a…

We build a sales cube on top of automobile Data from the U.S. In this article, learn how to slice and dice the dataset across multiple axes — the customers, the cars, and the brands to find interesting KPIs and summarize the KPIs in an atoti dashboard.

PART 1: Sales Cube and how atoti can ‘boost’ it.

What is a Sales Cube?

Sales cubes are used to report on sales transactions, specifically concerning posting sales order invoices and sales order packing slips. Sales cube datasets are self-containing and do not require users to create table profiles.

Various units of measure can be incorporated into a sales cube report to ensure that…

Follow us as we will walk you through the process of creating, saving, sharing, and persisting dashboards in atoti.

Would you like to create a business intelligence web application with atoti?

Business intelligence tools are helpful to stay competitive. Organizations of every size and stage use BI tools to analyze, manage and visualize business data. It is extremely easy to create a business intelligence web application with atoti.

Creating a session


Machine learning and artificial intelligence are becoming more and more ubiquitous and an integral part of our lives. Along with the rise of machine learning and artificial intelligence, the concern around machine learning bias is also increasing.

In this article, we will talk about one of the hot topics in Machine Learning Ethics — how to reduce machine learning bias. We shall also discuss the tools and techniques for the same.

Machine Learning Bias

Machine learning bias, also sometimes known as bias in artificial intelligence, is a phenomenon that…

This article shall be covering methodologies to do a quality check on the predictions from a machine learning model before you deploy it into production.

It happens quite often that the Data Science team has spent, weeks even months understanding the data, perform state of the art Feature Engineering try the various machine learning and deep learning modeling techniques, performed tuning the hyperparameters, and then built the ULTIMATE model to make predictions.

And when…

We will explore a method to tackle the issue of optimizing inventory management thanks to quantile-based time-series predictions and leveraging atoti — a data visualization platform with an aggregation engine and native multidimensional and what-if analysis support.

Inventory management is one of the most critical components of the manufacturing and supply chain processes. It is also one of the major issues faced by the industries.

When it comes to sales for the manufacturing industries, both the extreme scenarios are unfavorable:

  • When there is an unexpectedly high…

Raghav Vashisht

Master in Data Science and Business Analytics, ESSEC Business School- CentraleSupélec

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