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DataMASTER Workshops

The Office of Information Technology provides training for many aspects of using DataMASTER. A full description of the workshops can be found below.

DataMASTER: Intro

Instructor: Christina White
Usual Location: Neuberger Hall, 4th floor lab, occasionally Cramer Hall 1 lab
Length: 1 hour
Description: DataMASTER is data warehouse solution containing student, finance and payroll information from Banner. This introductory workshop covers how to login to DataMASTER, and how to run, export, save and print reports from the data warehouse. Recommended for all administrative staff and faculty in roles which require student, enrollment, finance or employee analytics. No special technical skills are required.

Hosted by the Business Intelligence Team, the intro training session covers basic execution and scheduling of pre-formatted reports in the Cognos DataMASTER web site. DataMASTER uses data extracted from Banner admissions, registration, human resources, and finance. This class follows a demonstration, question and answer format.

We'll cover the following DataMASTER features:

  • Gaining DataMASTER access
  • Running reports
  • Exporting reports to Excel and PDF
  • Scheduling reports
  • Access and use of the Data Cookbook

The DataMASTER Reports workshop covers the various reports available in DataMASTER.


DataMASTER: Exploring

Instructor: Christina White
Usual Location: Neuberger Hall, 4th floor lab, occasionally Cramer Hall 1 lab
Length: 1 hour
Description: This workshop is offered in an ad-hoc question and answer format.  Bring your reporting questions! Explore the various reports in DataMASTER in a lab setting and discover how to find information related to enrollment management, scheduling, student affairs, finance, payroll and employee management.  Intro to DataMASTER is recommended as a prerequisite.


Additional Material

Query Studio training is available by arrangement. Query Studio allows for ad-hoc queries of the DataMASTER data warehouse. This training is recommended for individuals who have some technical reporting background and are good at working with data extracted into Excel spreadsheets.