Big Data has been unable to meet the exaggerated expectations placed on it. It may have entered the general consciousness that even the most unremarkable piece of information can contribute to a solution, but the data collecting mania and new data streams from the Internet of Things have led to an exponential growth in the mountains of data available. Not even the latest data centres are capable of efficiently evaluating them. Additionally, the demands have changed: Big Data was conceived for analysing past data, and for the systems of the future, even real time is too slow. Future solutions in the age of Smart Data will distinguish themselves by concentrating on that which truly is useful before beginning with the analysis of masses of data, and, in doing so, will be able to make predictions about future scenarios.
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You can find worldwide best practice examples on this macro-trend in our online tool, the Trendexplorer:
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