Data smog is a metaphor that compares big data's ability to overload individuals and systems with the smoke and fog that pollutes the air in big cities, making the atmosphere hazy. The term was coined by David Shenk in a book of the same name.
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With Internet of Things (IoT) sensors delivering data at high volume in real time, companies are overwhelmed by how to ingest, manage, store and make decisions from this data. Applications that enable data analytics, business intelligence and data visualization in particular are designed to help individuals handle this data overload and make informed decisions in real time. Analytics can help individuals manage and digest data inflows, and data visualization tools are designed to present data in visually compelling formats that help individuals see areas that need attention and improvement.