In this eBook we discuss the drivers for unifying advanced analytics and transactional processing, the emergence of insight-driven transformation, the creation of fast data pipelines by combining in-memory computing and high-performance Spark distributions, as well as some real-world IoT and operational intelligence use cases.
Did you know that companies are twice as likely to outperform their peers if they use advanced analytics?
It’s no wonder then that today about 74% of firms say they want to become more insight-driven, and to introduce analytics and data science at every corner of their application in business1. However, only about 23% have been successful in these efforts so far.
In today’s high-speed world, it has become essential for businesses to transform how they collect, manage, and analyze data to make decisions. That is, they must become an insight-driven organization in order to maintain a competitive edge. And to do that, they need unified advanced analytics and transactional processing.
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