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This session focuses on the transition from intuition-based management to data-driven decision-making in team management. Participants will learn how to integrate data from multiple sources into comprehensive dashboards, analyze historical trends, and allocate resources efficiently based on peak times. The objectives include developing KPIs tailored for enrollment management and establishing a culture that prioritizes fact-based decisions. Attendees will also engage with practical models and visual dashboards for effective data interpretation and operational insights.
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Managing Teams with Data Dashboards: A Case for Data-Driven Decision Making & Resource AllocationJeanCarlo (J.C) BonillaDirector of Enrollment Management & Student Services, New York Universityjb3379@nyu.edu
Session Overview & Objectives Context for managing teams • Managing interventions* based on “milestones” • Resource allocation based on “peaks” Learning Objectives • Integrate data from multiple sources to create a data dashboard • Review history & trends to assign resources and delegate tasks • Assign KPIs for GEM • Building a culture committed to “fact-based” decision making
Our profession (GEM) is in a transition from intuition-based management to data-driven management
Information Data
Insight/Action Information Data
Historyis our working assumption. The past is relevant and your school has “memory”
Working with my models • Models are pre-populated MS Excel worksheets • You can break them! • Green colored cells are for data input • Download at EnrollmentAnalytics.com
Dashboards– the art of integration, analyzing, and visualizing data
Information Data
Report Dashboard vs. Reports Dashboard Pretty (visual) Executive Integrates data from multiple platforms Answers to organizational KPIs Flat (text) Operational Standard query from a platform Answers to “how many”
Dashboard Collection Curation Integrating Analyzing Visualizing
Dashboard Layout KPIs DESCRIPTIVE STATISTICS TRENDS or PREDICTIVE STATISTICS
CASE 1 - Say as of today, May 1st 2014 your Fall 2014 cycle looks as follows: EnrollmentAnalytics.com
CASE 2 - Say as of today, May 1st 2014 your Fall 2014 cycle looks as follows: EnrollmentAnalytics.com
CASE 3- What should you expect next week? EnrollmentAnalytics.com
Building a dashboard • Action driven • 1st order KPIs = funnel metrics • 2nd order KPIs = school/program specific • Design with “visual checks” for data accuracy • Be “honest” about predictability features
Datais the new strategic asset
Datais not the problem… is the culture
Muchas Gracias! J.C Bonilla jb3379@nyu.edu