Women in Data Science (Webinar Series)
While women make up less than 40% of the data scientists in the working world, their use of data and analytics is powerful.
In this webinar series featuring Veera users, learn how women in data science are driving change and making an impact at their organizations by way of data analysis and predictive modeling projects.
Data Prep Process for Tableau
Michelle will review how she utilizes Veera Construct to prepare her data and automatically update the Student Learning Data System, a Microsoft SQL Server, for use in 90+ Tableau Dashboards.
Data Analyst, BI Specialist
University of Cincinnati
Modeling Major Gift Likelihood
Translating Data Into Action
Abigail will discuss how her Advancement team translated their predictive model for major gift likelihood into descriptive, easy-to-interpret scores that intrigued colleagues to use them before the project was fully rolled out.
Assoc. Dir. of Advancement Analytics
A Data Segmentation Approach to
Modeling Freshman Retention
"One size fits all” doesn’t always work for predictive models. Sarah will be shares the approach she took to develop multiple freshman retention models targeted at unique segments of the University of New Haven’s student population.
Sarah Caro, PhD
Senior Research Analyst
University of New Haven
The Journey: Development Records to Business Systems at The Whitney Museum of American Art
Bridget shares the evolution from an initial focus on fundraising data for the build-out of infrastructure to support a broader institutional constituent strategy. The Business Team is guided by three core data principles: Collection, Accessibility and Governance.
Director, Business Systems
The Whitney Museum of American Art
Harness the power of many.
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