Online analytics tools all prospective MSA students should know

Brought to you by the Villanova School of Business

If you are considering applying to a Master of Science in Analytics program, it is important to have knowledge of how data can be used to grow business.
 
Data analytics is the practice of collecting and interpreting various forms of data for an organization to gain informed insights, make judgments, and devise strategies for growth and improvement. Given the rise of digital platforms, there is now an increasing demand from employers for candidates with analytics experience. As Bloomberg outlined, reporting on a study from McKinsey Projects, in the next two years there will likely be a gap between supply and demand for analytic professionals as high as 60 percent. Given the lack of qualified candidates, professionals in this field are able to command exciting positions with lucrative salaries.
 
If you are hoping to switch careers and enter this burgeoning field, consider applying to Villanova University’s online Master of Science in Analytics program. Designed to help you study at a time that complements your schedule, Villanova’s online program is a flexible way to earn the master’s degree that could put you ahead of the competition.
 
One way to strengthen your profile as an MSA program candidate is to become familiar with basic analytics tools that can be found online. Such platforms are typically designed for users with business websites and/or applications, who wish to learn more about their customer base and how it behaves.
 

To learn more about these basic analytics tools, review the guide below:

1. SAS
The world’s largest business intelligence company and one of the nation’s leading analytics enterprises, SAS, which is an acronym for Statistical Analysis System, has engineered a number of analytics software platforms, ranging in complexity from advanced to basic.

One of the most capable analytics software platforms on the market, SAS allows users to carry out functions such as collecting data, managing data producing graphics such as pie charts, and delivering reports with detailed analysis, the Computer Business Review explained. The organization also offers classes, tutorials and online webinars on how to understand, use and get the most from SAS. An understanding of this platform is important, as SAS is widely used across a number of industries.

 

2. Google Analytics
A platform courtesy of the world’s most famous search engine, Google Analytics is designed to help business owners gain insights into the behaviors of their customer base by analyzing data taken from platforms such as a company’s website and apps. The data can paint a picture of customer spending habits and behaviors online. The program is easy to use, highly efficient and effective at producing reports concerning large amounts of information, which can then be disseminated throughout a company.

Google also makes it easy to train yourself on the platform. Earning the Google Analytics Individual Qualification demonstrates your proficiency and shows admissions officers your seriousness.

Google Analytics is free to use, while a more comprehensive package, Google Analytics 360, is available for a fee.

 

3. R
Designed by Bell Laboratories, R is a digital language for data mining and statistics. It is available in the form of a software platform which users can download free of charge. The software, which is comprised of various integrated tools in an “environment,” allows users to collect, store, analyze and present data in graph form. Furthermore, using the R language, it is also possible for data analysts to create their own operations using the program. R is easy to navigate and can be used on ubiquitous platforms such as Windows and OS.

 

4. HPE Vertica Advanced Analytics
From leading technology organization Hewlett Packard Enterprise, HPE Vertica is one of the most efficient and easy-to-use platforms for the storage and analysis of vast amounts of data from disparate areas. Collecting information and offering results in minutes, HPE Vertica is also able to make analytics-based predictions and produce various types of graphs outlining findings and results. HPE Vertica is data-scientist friendly and widely used by professionals in this competitive field. The software is available in the cloud, on premise and on Hadoop.

 
In summation
Your road to success in the field of analytics begins with a basic understanding of the platforms outlined above. To increase your career prospects in the big data field, apply to Villanova’s Online Master of Science in Analytics program. To learn more, click here.

 

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