What is Data Analytics? An Introduction
Data analytics is what makes data useful for businesses, deriving value from numbers and providing actionable insights. Learn how data analytics and data scientists uncover the patterns and relationships found in data sets — how they discover and present useful information about raw information.
It’s easy to think of data analytics as an umbrella term, referring to everything from business intelligence to online analytical processing, also known as OLAP. It often takes the form of specialized data analytics software and systems that examine data sets to draw conclusions, used by data scientists.
The goals behind an enterprise data analytics effort and the work of data scientists is to increase business revenues, optimize customer service and marketing campaigns, and improve business efficiencies. Ultimately, businesses want a competitive advantage over rivals, and data analytics brings that opportunity.
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