Data Analytics
So Simply
Even A Dean
Can Do It
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do so as discreetly as possible
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Thank you for your cooperation
Session Overview
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What is Business Intelligence?
Business Drivers
Traditional Access to Data
EICC BI Implementation
EICCezData Analytics
Key Success Factors
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Enrollment: 13,200 credit students, 165,000 credit hours,
6883 FTE, over 63,000 Continuing Education Enrollments
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3 college campuses (Clinton, Muscatine and Scott), 10
satellite locations
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District locations are spread out over 100 miles
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60+ Career Technology programs
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40+ Arts and Science transfer concentrations
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Over 3700 high schools students earned college credits
while in high school.
What is Business Intelligence?
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Business Intelligence helps organization better
manage and measure their business by
converting data into actionable, fact based
information to improve business decision
making and insight, and providing sustainability
through strategy alignment, process
enablement and smart technology
standardizations and integrations.
Top BI Goals in Education
Priority
Project Goals
Realized Benefits
Implementation
Challenges
1
Executive decision
making
Decision making
Data cleansing
2
Insight into operations
Quality of service
IT resource
availability
3
Data integration
Employee
productivity
Meeting project
goals
4
Process/cycle time
Data insight
Defining scope
Source: InfoTech Research Group
Business Drivers
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Decision Making
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Strategic Alignment
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Having a higher degree of insight into key
organizational metrics to empower users and
enable informed decisions.
Provides the ability to report and measure
against the strategic goals and planning of the
institution.
Accessibility to Information
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Reduces the reliance on IT and integrates
multiple data sources to provide users with a
complete picture of the data.
EICC BI Business Drivers
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Shifting Enrollment
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Demographic Changes
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28% of Students are Current High School Students
26% of all credit hours are earned in online sections
Enrollment returning to FY10 levels
Aging Demographic
Declining Population Base
Smaller High School Enrollment
Pockets of emerging diverse communities
Resources
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Flat State General Aid
Reduced Foundation Support
Increase in Specific Targeted Grants or State Funding
EICC BI Business Drivers
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Strategic Plan Alignment
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Increasing the number of students earning postsecondary
certificates and degrees that have value in the
marketplace.
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Prepare a skilled and educated workforce to support the
economic development of our region.
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Provide a high-quality, high-value, smart start for further
higher education.
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Deepen partnerships with K-12 schools to improve
educational outcomes in our communities.
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Continue to increase operational efficiency and
effectiveness as a high-performing organization.
Traditional Data Access
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ERP Delivered Reports
Limited Criteria Options
User Manipulated Data
Creative Definitions
Hand Tabulations
“Historical” Reporting using Live Data
Combined Multiple Sources
Traditional Institutional Research
 Focused on mandatory reporting including Accreditation,
State, Federal and Grants.
 Many users do not know what data is available to them.
 Once information is requested, many times only a portion of
what is needed is delivered.
 Information Overload…too much of a good thing?
 There are many iterations to requests to get a comprehensive
picture of the information.
 IR Staffing and Resource Limitations
EICCezData Project
Fall 2012
Partnered with McGladrey, LLP
QlikView Business Discovery Platform
Spring 2013
Identified Key Analytics
Data Integration with ERP
Spring/Summer 2013
Leadership Trained on EICCezData
BI to the Rescue
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Adding efficiency to basic requests.
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Ability to allow self definition = empowerment
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Making decisions based upon valid, complete
and timely data
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Maintain data integrity and standardization
though snapshots and banding
BI to the Rescue
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Data on the Fly
Real-Time, Collaborative Decision Making
Easy to Navigate Tool for Non-Researchers
Dynamic apps and state of the art
graphics
Comprehensive Access to Enrollment
Trends, Student Success Matrices, etc.
EICCezData
Historical Analysis
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Enrollment evaluation
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Credit completion
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Evaluation of beginning term vs. 14 day
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Development of cohorts
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Graduation analysis
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Demographic trending
Historical Analysis
Historical Analysis
Historical Analysis
Race and Ethnicity
Age
Building Location
Student Success
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Targeted intervention strategies – ability to
look at student population differently
Remedial analysis – evaluation of courses
which should require pre-requisite to increase
success
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Registration analysis
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Retention monitoring
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Enrollment data review
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Demographic profiling
Student Success - Remedial
Student Success Grade Dist
Completion Benchmarks
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Completed Credits, Enrolled vs. Earned
Degrees and Awards
Time to Completion
Measure Persistence Rates at an Aggregated
Level
Impact of Intake Process
Assessment, Placement and Pre-requisite Analysis
Completed Credits
Degrees
Persistence Rates
Resource Evaluation
Instructional
 Section Analysis
 Faculty Load
 Grade Distribution and Course Success
 Evaluation of Faculty Performance
 Availability of Course Offerings
 Multi Campus Collaboration
 Faculty/Student Ratio
 Full Time Vs. Adjunct Hiring Decisions
Student Teacher Ratio
By Subject and Section
By Course
By Faculty
Section Analysis
Resource Evaluation
Student Services
 Student Intervention Strategies
 Cohort Analysis
 Advising Practices
 Advising Load/Case Management
 Targeted Messaging
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Current Students
Recruitment/Marketing
Actionable Student Lists
Next Phase Development
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Continue Clear Alignment to Strategic
Goals
Financial Aid and Financials
Student Retention Alert Data
CRM and Communications Data
More Robust Reporting/Sandbox Tool
Next Level Roll Out
Key Success Factors
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Define the Business Questions and Vision…
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Define the Vision and Roadmap…
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identify the key strategic questions or themes that the institution
wants to get answers to but has not had the capability to do
historically
holistically articulate a vision, what constitutes success, and the
high level roadmap to guide the journey
Conscious Focus on Data Management, Data
Quality and Governance…
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define and enable robust data management capabilities that
support data quality
Key Success Factors
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Assign Right People with Right Skills with Right
Oversight…
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Focus on Smart Technology Standardization…
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establish an appropriate delivery structure and then place the
right people with right skills into the right roles and making it a
priority
standardize on industry relevant technologies
Embrace an Iterative Delivery Methodology…
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avoid a “boil the ocean” delivery approach and follow a proven
delivery iterative methodology
Questions?
Erin Snyder
Associate Director for Enrollment Management
Eastern Iowa Community Colleges
esnyder@eicc.edu
563-336-3310