Advanced Analytics: Disruptive Opportunities
LONDON, Nov. 1, 2017 /PR Newswire/ -- The availability of ever increasing amounts of structured and unstructured data, along with higher, cheaper and faster computing power, have been key drivers for the development of advanced analytics. The Internet of Things has served to boost the development of the streaming analytics market, through sensor-driven, real-time insights into consumer behavior. Most importantly, organizations need to take advantage of insights from in-depth analytics to gain a competitive advantage and stay ahead of the curve.
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This report answers the following questions:
Which are the analytics technologies that are being adopted?
What are the major application areas for these technologies?
What are some industries impacted?
What are some use-cases of successful implementation?
What are some innovative business models being driven by advanced analytics?
What is the patent scenario globally?
What are some game-changing convergence scenarios of advanced analytics with other disruptive technologies?
What are the key findings of the analysis and analyst POV of the future?
Although a lot of analytics applications in the real world delve into more than one type of analytics technologies in the form of streaming analytics, this report has been segmented into the following main analytics technologies:
Image Analytics
Text Analytics
Video Analytics
Audio & Speech Analytics
Emotion Analytics
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