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DM&A Current Events

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Director Brian Harris

New Department Director - Brian Harris

UIT is pleased to announce that Brian Harris has been named director for Data Management & Analytics (formerly Business Intelligence) in UIT’s University Support Services. He replaces Tom Howa, who has accepted a position outside of the University of Utah. Harris reports to Deputy Chief Information Officer Ken Pink.

Harris previously served as principal data warehouse engineer for DM&A. In his new role, he will be responsible for establishing standards governing data use, storage, and quality; providing data analytics, reports, software, and training to colleges and departments across campus; creating various reports including but not limited to descriptive and predictive analysis; providing data analysis tools and software; and helping to improve decisions and optimize performance.

Harris holds Bachelor and Master of Information Systems degrees from the U.

New ETL Tool - Jitterbit

DM&A recently acquired a new API integration platform called Jitterbit that connects almost all systems and processes in a low-code environment.  Jitterbit will help DM&A reuse trusted applications and extend them easily via APIs to create innovative new solutions. This will allow DM&A to more easily collect data for data vizualization and move data between systems for processing. Such integraion can reduce transaction and processing costs, increaste processing efficiency, and increase accuracy.  Additionally, the Jitterbit company is vigilant in applying safe and secure integration processes. They use strict security measures to protect our information and constantly evaluate and improve their systems and processes to keep abreast of the latest security demands.

DM&A is in the process of implementing Jitterbit by moving old processes out of WSO2 and into Jitterbit.  DM&A is also creating new processes using Jitterbit to provide University staff with new functionality.

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Data Governance

Mission Statement: Utilize data management standards, data models, collaboration, and transparency to help departments expand their data usage and analysis.

Definition: Data Governance is comprised of the policies and processes that determine how an institution organizes the architecture, accessibility, storage, and usability of its data, while ensuring that the data is trustworthy and secure.

Data Management: The University uses Collibra to perform many of its data mapping and accessibility functions. Collibra contains glossaries of business & technical terms, data catalogs, technical linage diagrams, and workflows to aid in the processing, approval, and storage of data.

Data Science

Mission Statement: Accelerate the speed, scale, quality, and impact of data science using well-managed, centralized, and governed data.

Definition: To achieve its goals, Data Science will create an enterprise analysis environment, implement enterprise best practices, and enable continuous improvement through clarity, transparency, reproducibility, and collaboration.

Tools: The Data Science team primarily works with the 'R' programming language. The team uses the development environment in RStudio Workbench to write analysis code, and RStudio Connect to move advanced visualizations and functions into Tableau and produce on-demand custom reporting.

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Data Engineering

Mission Statement: Make data accessible and easy to understand through centralized storage and integrations.

Definition: The Data Engineering team works with areas across campus to move data to a central repository so that it can be accessed, combined with a variety of sources, and with a clarified business purpose and steward.

Engineering Projects: The engineers in DM&A maintain the data in the Student Data Warehouse (SDW), Financial Data Warehouse, and a multitude of Operational Data Stores (ODS) for areas across campus. They are the facilators of data movement across campus and can help individuals connect cross-departmental data.  

Data Visualization Tools

Tableau: A data visualization software that connects to a wide variety of data sources and allows for rapid insight by transforming data into appealing, interactive visualizations called dashboards. Users create dashboards by using available BI data or their own existing data, and then share them by uploading to the Tableau Server. Tableau is best suited to visualize aggregated data through graphs & charts.

Web Intelligence (Webi): The part of the SAP BusinessObjects product suite that is used for analytical reporting to meet an organization's business requirements. Webi is a Business Intelligence reporting tool for business users to analyze data in a data warehouse, helping organizations with decision-making. Webi is best suited for reports containing tables and lists.

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Recent DM&A Projects

Contact Tracing:

Helping the hospital with Covid tracing across campus by consolidating disparate data sources with meaningful information for decision makers through interactive dashboards.

Athletics:

Helping athletic directors better understand department finances by moving from a siloed, limited, and unsecure Access database to reliable, centralized, and well managed data sources enabling athletics to create self-service visualizations and dashboards.

Equity, Diversity, & Inclusion:

Using machine learning methods to identify desparities in staff and student outcomes.

Campus Marketing:

Working with marketing towards a goal of more targeted communication campaigns and limit the amount of duplicate communications going out to students, faculty, and staff by providing automated lists of data to Salesforce.

 

Last Updated: 11/4/22