Project Type: Advance Analytical Capabilities

What is it?   ITS is working with the Office of Sponsored Research to calculate, track, and display project burn rates. Project burn rates compare the pace at which funding and awards are spent to the allocated project budget. After calculation, RAM Reports will visually indicate the burn rate, using a color-coded bar with percentages.   Why are we doing it?   This change will enhance data visualization and improve funding management. If the report draws attention to… Read More about RAM Reports: Visualizing Project Burn Rates for Improved Funding Management.

The purpose of the project is to put a third-party solution in place to allow UNC-Chapel Hill to do capital budgeting, the annual budgeting cycle and associated reporting across the enterprise. Currently, we use resource-intensive manual processes to do the University’s budgeting. This means we have a reduced ability to properly plan for large capital expenditures. The success of this project will be measured by the ability of the University to handle the annual budgeting… Read More about UNC Budget Tool.

This project will implement the ServiceNow Asset Management module. The ServiceNow Asset Management module will be responsible for managing the life cycle of end-point device hardware assets for ITS and SOM Managed Desktop Services groups. Standardizing tracking and reporting on the data attributes relating to ownership, status and location of hardware assets will be helpful to our teams. Benefiting our clients by allowing IT to identify the most at-risk end-point devices in a department that… Read More about ServiceNow Asset Management.

This project will migrate Research Computing’s technical documentation off of the ITS WordPress site. The project will also refresh the content, making it easier to find and read.

The Mass Storage system (also known as StorNext or /ms) is used for archiving research data files and storing very large files, files that are too large to fit within an individual researcher’s or a department’s storage space. This project will move the Mass Storage system to the next generation of hardware.

This project will develop the Enterprise Data Warehouse’s most-used data sets in a more efficient type of schema called a “star schema” data model. The new tables and views will be available for internal use within the data warehouse, enabling the team to better serve customers. Projected Completion Date: March 31, 2023