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Big Data and Simulations for the Solution of Controversies in Small Businesses
Abstract
The global information society creates data in various formats, and data is stored in many sources. Interest is focused on true story formation with respect to sustainable development. The suitable recommendation is to implement a multidimensional view on big data. Such an approach works with big data on three levels. The basic level represents default activities and analyses for data storage in data warehouse. The advanced level is focused on searching for links between stored data and information sources in the global society, and variable level searches unexpected events based on complex statistics and mathematical methods with the support of artificial intelligence, business intelligence, customer intelligence, competitive intelligence, swarm intelligence. These kinds of activities are important for IT product development such as specification of the road for an adopted methodology, definition of a reference for needed dimensions and phases for IT development, and also as a warning against omissions and mistakes.
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