Search for: All records

Discover how to transform standard research award/proposal reports into dynamic visualizations of your research collaborations using Microsoft Power BI and custom visuals. This session guides you through creating interactive networks to visualize your research community. While we'll touch on network analysis, detailed statistical discussions are beyond the scope of this session. Participants are encouraged to bring a laptop and their data, although dummy data will be available. We'll cover data loading and transformation in Microsoft Power BI, employing custom visuals for network generation, and we will explore practical applications of research networks. Please download Microsoft Power BI Desktop beforehand if you plan to follow along, data can be provided or use your own! Presented at the 2024 Research Analytics Summit in Albuquerque, NM 

General discussion session about how you at your institution are using or trying to deploy AI within research administration. This will be an informal discussion session. 

This talk addresses the essential role of data models in analytics, especially for lean teams. It caters to a broad audience, from beginners creating reports to those integrating diverse datasets for advanced analytics and KPI development. A robust data model is crucial for rapidly scaling analytics efforts, allowing for the inclusion of varied data sources such as research awards and proposals, HR data (Gender, ranks, titles, ethnicity etc.), teaching loads, and external datasets like the HERD Survey. We will cover data modeling basics, then explore advanced analytics with the Microsoft Analytics Stack, focusing on Power BI Desktop, emphasizing its accessibility and capability for comprehensive insights. Including an introduction to Microsoft Data Analysis Expressions (DAX) and Time Intelligence Functions. Discover how effective data models enhance analytics capabilities, enabling teams to achieve significant research outcomes.