Financial Services Lab
More than ever, today's employers demand that college graduates have the ability to use advanced technology. Niagara University's Holzschuh College of Business Administration has invested in the resources to make sure you get those skills!
As a Niagara student, you’ll take many of your classes in one of our three state-of-the-art business technology classrooms, including our Financial Services Laboratory. In your accounting class, you’ll learn with a powerful accounting system such as Quickbooks, and how to use @Risk and Capital IQ to extract and analyze financial data. In marketing, you can perform analysis of big data using statistics packages like SPSS and visualize with Tableau. In the supply chain classes, you will use simulation and modeling software to plan for optimum delivery of goods. The finance and analytics classes develop models in Excel, Python, and R to analyze stocks and bonds to plan portfolio strategies.
The Financial Services Laboratory, located in Bisgrove Hall, Room 150, offers the following in software resources:
Standard & Poor's Capital IQ Market Intelligence Platform
Complete source of deep financial and pricing data on public and private companies with expert opinions and forecasts. It allows students to prepare, analyze, and run studies on security pricing and trading strategies.
Thomson ONE Investment Management
Portfolio management software that provides complete analysis of portfolio holdings. Real-time information is provided on security prices, showing order flow and execution as it is happening on the exchanges. Full text of analyst’s research reports, company conference calls, and press conferences.
Analysis and ranking of mutual fund securities.
Advanced statistical analysis, learning algorithms, and integration into applications.
Simulation program that works with Excel to provide detailed "what-if?" analysis in spreadsheet models. Widely used in operations analysis, risk management and corporate finance.
Simulation program that works with Excel to provide detailed “what if?” analysis in spreadsheet models. Widely used in operations analysis, risk management, and corporate finance.
Python and R
Program language software that helps support data science tasks, statistical analysis, and data visualization.
The industry leading software for data visualization and representation. Tableau is used in multiple classes for analysis of large and small data sets to generate data-driving insights.