Statistical Clusters – Explanatory Notes

The Media and Campaign planning platform was painstakingly built using years of scientific research, data analytics and advanced programming. You should definitely read the relevant case study here. 

The most interesting thing about science is that it is reliable. It also displays similar behaviour in similar circumstances e.g., at a pressure of (atm), ice melts or water freezes at 0 °C and water boils or vapor condenses at 100 °C. With reliability, comes confidence and in statistics and machine learning, confidence from observed data is extremely important.  

We analyse points of interest data, collate that with user persona and employ location intelligence to find a general area where the commercial activity should be the highest. We tested our hypothesis in a couple of markets and the results were satisfactory and the ML algorithm was duly incorporated into the system.  

Herein are the implementations for various geographical areas. 

Lucknow, Uttar Pradesh 

Jaipur, Rajasthan 

Colombo, Sri Lanka 

This is a propriety algorithm and it is deployed independently on the platform. To learn more about this, contact the team at Hashbrown Systems.