Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 11 Next »

UAlbany Business Analytics
This wiki is intended to provide screen shots of UAlbany Business Analytics
About UAlbany Business Analytics

UAlbany Business Analytics (UBA) is a Business Intelligence (BI) environment that uses the latest Oracle BI technologies. The UBA provide insights to key decision makers that can drive business practice changes with accurate and reliable data used with confidence, especially in our current fiscally demanding environment.

The primary benefit of this innovative service is the empowerment of Department Chairs, Deans, and Administrators to generate sophisticated representations of metrics (dashboards, bar graphs) with minimal technical expertise. Data is integrated from disparate, separately owned data sources into a single format/display to easily generate historical comparisons and trend data to use in operational and strategic decision making. UBA has reduced the need for ad hoc reports, shadow systems and query-based analysis and will eventually replace the existing data warehouse.

Simplifying the complexity of Campus data and establishing consensus on data definitions and data sources, has improved the quality of University data overall. Data anomalies are captured during nightly processing, and, if appropriate, data quality is always fixed at the source system.

UAlbany is the first SUNY campus to implement a complete Cost per Academic Program analytics, an invaluable metric for management.

Table of Contents

UAlbany Business Analytics

UAlbany Business Analytics Screen Shots

Login and Landing Page

Costs and Expenditures

Each of the screen shots below begin with the Comprehensive Campus Analysis. The user then can easily drill down and add columns to obtain the analytics he/she is interested in. Once a user creates an analytic in this way, say one that looks only at his/her program, the analytic can be saved for the user, and refreshed with new data whenever he/she chooses.  

 

  • No labels