Big Data Analytics is the analysis of data sets that are too large or complex to be dealt with by traditional data-processing software. In the past, due to time and value constraints, data analysis only allowed for observations and sampling. But thanks to the rapid increase in computing power (driven by Moore’s Law), there has been a dramatic reduction in the speed and cost of data analysis. Plus, with the proliferation of information sensing devices and cloud computing for data capture, there is no shortage of available data sets to analyze. The result has been innovations in predictive analytics, user behavior analytics, and other advanced data analytics methods that extract value from big data. And thanks to advances in disruptive technologies like AI and quantum computing, there are certain to be further efficiencies in pulling value out of big data. In fact, we’re accelerating towards a point where every business will be dependent on big data. Every business will essentially be a data business, regardless of the industry.
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