Predictive data analytics uses powerful algorithm models to analyse past data to predict future trends. If applied correctly, predictive analytics can be used to improve disaster relief efforts, thus reducing the economic impact of natural calamities. For example, experts in the US are combining predictive analytics with satellite imagery to improve warning times for thunderstorms.[.....]

Data analytics may be the solution transport planners need to combat traffic. To reduce road congestion, transport planners have to find a way to make people leave their cars at home and use public transport. However, to accomplish this, transport planners have to develop a robust transport ecosystem that maximises traffic flow for thousands of[.....]

Gambling by its very nature has always been a numbers game, where bookmakers live and die by their odds. It’s, therefore, no surprise that the rise of big data has caught the industry’s attention. The ability to harness massive volumes of data to provide real-time insights is having a transformative effect on businesses in this[.....]

Dark data is not as sinister as the name might suggest – comprising immense volumes of unused and unstructured data. This data includes email conversations, customer accounts, customer complaints, raw survey data, knowledge-based articles, meeting minutes, and other information. According to the International Data Corporation, 90% of unstructured data is never analysed. Such data is[.....]