Near real time anomaly detection & time series dashboard for e-rent platform
Manrique Hernández Ramírez, Carlos José · 2017
Today, the world is talking about data analytics as an essential issue for companies. One of the challenges for this topic is to obtain information about business processes (such as income, outcome, availability of inventory, etc.) in an agile and efficient way. What is developed in this project is a software component that allows users to see in a near real time dashboards representing income of a company that is responsible for renting trailers to the people of Australia, then calculate anomalies on the dashboards that allow the company to improve the management decisions.