It has been two years since we have started Knoyd. We have helped quite a few companies using their data more efficiently and have learnt a lot during the process. It has also been two years since we published one of our very first blog posts, analysing tweets about Star Wars: The Force Awakens. And since the new installment has hit theaters in December, we have decided to create a re-hash of this original blogpost.
In the next blog of our Knoyd series, we are going to show one of the ways of measuring impact of NBA players on the game. Everyone knows that all-stars like LeBron James or Stephen Curry have tremendous impact and they show it in every game on the floor. However, very often role players need to step up and save the game. This analysis is dedicated especially to these players and how they can change the game by their performance. The cornerstone of this analysis is the basic correlation between players‘ impact and result of the game. The way, how impact of an individual player is computed, will be described later on.
Everyone keeps talking about data; its great value, utility, and the many benefits it offers. However, to many people all those might just seem like abstract concepts. That's why we want to show you what data means in real life: data to help, data to increase efficiency, and sometimes data just to amuse. We point out use cases where data science helped someone to solve a unique problem or to solve a very old problem in a unique way. We will demonstrate that data can help individuals, communities, as well as corporations and governments. It's not a universal solution to everything, but it is right up there :)