” … as far as the propositions of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality.” Albert Einstein Essentially, synthetic data technology empowers practitioners to effortlessly fabricate the data they seek, instantly and abundantly, customized to their exact specifications. For example, a […]

“New ideas are sometimes found in the most granular details of a problem where few others bother to look.” — Nate Silver Most managers argue that thinking big gives them an edge over their competitors. And probably its true. However, they frequently overlook granular details about their organizations. As a result, when they have to make […]

Marketing Mix Modelling or MMM, currently a hot topic for numerous reasons, is facing a critical challenge in the digital era. The proliferation of platforms has made it increasingly difficult to establish a brand’s voice and personality. Simultaneously, the exponential growth of social networks has empowered consumers and given rise to countless new niches and audiences. […]

A retailer has collected some data from its historical promotions outcomes in terms of customers, purchases, recency (last time customer purchased), and conversion to promotions (if the customer has purchased or not). With this historical information, he wants to know which customers are more likely to purchase and what products. Machine learning can learn a […]

In this video you will learn: What is Machine Learning What is an algorithm What is a model Difference between supervised an unsupervised learning

A marketing agency is keeping track of the outcomes of various campaigns for one of their clients. They are carrying out multiple actions through various channels, such as print advertising, out-of-home advertising, publishing a newsletter for a specific product family, and using Facebook, Google search, or television. They collect many metrics from each campaign, but […]

The dataset contains the following columns: PassengerId: an identification number for each passenger. Data type is irrelevant as this column has no prediction capability. Name: The passenger’s name. Data type is irrelevant as this column has no prediction capability. SibSp: The number of siblings or spouses traveling with the passenger on board. Data type is […]

This dataset was generated randomly by the NextBrain team. To generate it they follow the rule that the company is a good investment opportunity if the industry is either Banking or Software, and if the annual revenue is greater than 1 million. The dataset is designed to test and develop a model that can accurately […]

A marketing agency is keeping track of the outcomes of various campaigns for one of their clients. They are carrying out multiple actions through various channels, such as print advertising, out-of-home advertising, publishing a newsletter for a specific product family, and using Facebook, Google search, or television. They collect many metrics from each campaign, but […]

A company called “Newco” wants to market a new e-scotter that they think can be very innovative. The key question they face is what the launch price has to be. They have started a research project in which they have collected information from eleven future competitors. They have collected data about sales prices, market share, […]