Loyola University Chicago

Quinlan School of Business

Tools & Resources

Resources

Steps to setup the Bloomberg account

Tools

  

 

Bloomberg is the most popular financial database used in the industry. Bloomberg helps enhance research practices and improve analysis of data and market-moving events.

 

Morningstar Direct is powered by full access to one of the industry’s most comprehensive investment databases, covering hundreds of thousands of investments worldwide, as well as institutional research from Morningstar analysts.

Thomson Reuters Eikon delivers a powerful combination of information, analytics and exclusive news on financial markets – delivered in an elegant and intuitive desktop and mobile interface.

SPSS Statistics is a software package used for statistical analysis. It is used to manage data and calculate a wide variety of statistics. 

 

Rstudio is a free and open source data analysis software used for the foundation for innovative and important work in science, education, and industry. It produces a family of interactive data visualization products focused on business intelligence.

 

  

SAS is the leader in analytics. Through innovative analytics, BI and data management software and services, SAS helps turn your data into better decisions.

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RapidMiner is a software platform that provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics.

 

Simio is a unique multi-paradigm modeling tool that combines the simplicity of objects with the flexibility of processes to provide a rapid modeling capability without requiring programming.

It is a tool for interactive data visualization focused on business intelligence.

Hadoop is an open-source software framework written in Java for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.

 

RStudio Server enables you to provide a browser based interface to a version of R running on a remote Linux server, bringing the power and productivity of the RStudio IDE to server-based deployments of R.