Business Analytics in the Machine Learning Era
Bereich: Whitepaper
As a commodity, data confounds traditional economic analysis. Data volumes have exploded, and so too has the value of that data. Many organisations claim to be “data-driven”, and a consensus of opinion exists that decisions driven by data rather than human instinct – and all of the assumptions and biases that power that instinct – are likely to be more accurate and made faster than those based on gut feeling. It is an intuitive concept – the more informed a decision is, the more likely it is to be correct.
What varies across organisations is the quality of information available to decision makers – and the speed with which it is available to them. A huge spectrum of data analytics exists across organisations – from a few canned reports being delivered to the inboxes of decision makers on a fixed schedule to self-service Business Intelligence (BI) and analytics, powered by machine learning (ML) that is available on multiple devices to enable decisions driven not just by data, but by business insights.
Bereitgestellt von:
Yellowfin
