Data haze, data smog, refers to an overwhelming flood of data often associated with an Internet search. The mass of data often contributes to user uncertainty rather than clarification of the actual facts.
The term data smog was coined in a 1997 book by David Shenk with the same title. The point of this book is that as the flood of data increases, it becomes more difficult to distinguish fact from fiction.
The current rising tide of data is largely due to the Internet of Things( IoT), which produces an enormous amount of real-time data through sensors and actuators. Companies are often overwhelmed with the collection, processing and storage of this amount of data. Various applications such as data analytics or business intelligence can help to cope with the flood of data and support real-time decisions.