A Brief Introduction to Data Analytics
A primer for students who are new to the data analytics field.
How can you identify trends in disparate data streams, make predictions and ideally position your organization?
Data analytics is the key to uncovering big data insights and making informed decisions to drive success in any industry.
What is Data Analytics?
Data analytics, also called business analytics, is the process of transforming vast amounts of raw data into constructive, actionable information.
To derive insights from large amounts of data, a data analyst must store, manage, sort, structure and mine the data using highly sophisticated tools.
Then, the analyst can apply refined data analysis procedures to discover trends and influence business decisions.
Why is Data Analytics Important?
The ever-increasing generation of data has rendered it unmanageable by traditional means, and the diversity of data sources makes finding insights even more complex.
Trends among major companies
1 Source: "The Digital Universe in 2020," International Data Corporation, December 2012.
Explore data analytics degrees and certificates at UMUC.
From Data to Decision
View UMUC's big data infographic to learn more about data analytics.
The Value of Data
of the digital universe in 2020 is predicted to contain information that could be valuable if analyzed 1
"Our graduates will not only learn how to extract valuable insights from vast volumes of data— they'll also learn how to leverage those insights to drive strategic business decisions and make powerful impacts."