Session Overview & Objectives
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Managing Teams with Data Dashboards: A Case for Data-Driven Decision Making & Resource Allocation JeanCarlo (J.C) Bonilla Director of Enrollment Management & Student Services, New York University [email protected]
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Managing Teams with Data Dashboards : A Case for Data-Driven Decision Making & Resource Allocation JeanCarlo (J.C) Bonilla Director of Enrollment Management & Student Services, New York University [email protected]. Session Overview & Objectives. Context for managing teams - PowerPoint PPT Presentation
Transcript of Session Overview & Objectives
Managing Teams with Data Dashboards:
A Case for Data-Driven Decision Making & Resource Allocation
JeanCarlo (J.C) BonillaDirector of Enrollment Management & Student Services, New York University
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
How do you manage teams?
Our profession (GEM) is in a transition from
intuition-based management
to data-driven management
Data
DataInformation
DataInformation
Insight/Action
Data- Driven Weekly Ops Meeting
History is 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
DataInformation
Dashboard vs. Reports
Dashboard Pretty (visual) Executive Integrates data
from multiple platforms
Answers to organizational KPIs
Report 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:
LEADS APPS ADMITS DEPOSITS
OR MATRIC
GOAL (July 30) 5000
550
215
75
YTD (May 1) 2667
405
200
15
Should you be worried? Are you on target? What should you have your team focus on?
EnrollmentAnalytics.com
CASE 2 - Say as of today, May 1st 2014 your Fall 2014 cycle looks as follows:
Should you be worried? Are you on target? What should you have your team focus on?
EnrollmentAnalytics.com
LEADS APPS ADMITS DEPOSITS
OR MATRIC
GOAL (July 30) 5000
550
215
75
YTD (May 1) 5015
488
178
44
CASE 3 - What should you expect next week?
Should you be worried? Are you on target? What should you have your team focus on?
EnrollmentAnalytics.com
LEADS APPS ADMITS DEPOSITS
OR MATRIC
GOAL (July 30) 5000
550
215
75
YTD (May 1) 5015
488
178
44
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
Data is the new strategic asset
Data is not the problem…
is the culture
