By unleashing the power of analytics, institutions align resources, systems and strategy to use data to drive decisions related to key areas such as enrollment, student success and academic performance. Learn more: https://accntu.re/2JEY0wL
2. THE POWER AND
POTENTIAL OF ANALYTICS
2
What can analytics do
for higher education?
What can we
learn from others?
So what for you?
3. WHAT CAN ANALYTICS DO FOR
HIGHER EDUCATION?
3
By unleashing the power of analytics, institutions can align resources, systems and strategy
to use data to drive decisions related to key areas such as enrollment, student success and
academic performance.
Current State Future Benefits
Stagnating critical revenue
streams
Rising instructional costs
Pressure to deliver improved
student outcomes
Siloed data sources
Improved
Student
Outcomes
Cost
Containment
Optimized
Revenue
Environmental
Sustainability
ADVANCED
ANALYTICS
4. CAN ANALYTICS ANSWER THESE
QUESTIONS? YES!
BACK OFFICE
How much do
introductory course
teachers influence
students’ outcomes?
What is the
best job
posting strategy
to acquire high
quality talent?
How can we
improve collections
efficiency?
Does student
financial literacy
increase timely
payments?
What is the
student impact
of suspending/
re-enrolling students for
late payments?
What is the
operational impact
of suspending/
re-enrolling students
for late payments?
FRONT OFFICE
5. DATA CAN IMPROVE STUDENTS’ OUTCOMES FROM
THE START
5
FRONT OFFICE
Using data to gain insights
Panel study of 5 freshmen
cohorts (2012-2016) and their
course grades in introductory
and advanced classes in the
following subjects: Biology,
Chemistry, Math, and Physics.
The findings
1. Determined the overall impact of introductory
instructors on student learning.
2. Identified student-instructor pairings that result in
more equitable student outcomes as a foundation for
intelligent academic advising.
3. Identified individual instructors with particularly
positive or negative impacts as a foundation for a
professional development program.
4. Demonstrated the power of broad cross-functional
collaboration combined with elements of agile
methodology to expedite analytical outcomes.
6. 6
HR BACK OFFICE
Analyzing data to transform
Harvested data across 8
different HR systems and
incorporated it into an
exploratory dashboard to
uncover pain points and
design future state solutions
What the data showed
• Late/minimal touchpoints resulted in participant dropouts
• Referrals are 3.5x more likely to be hired but result in less
diversity
• Currently only measuring % of candidates without
systematic evaluation
Insights create action
1. Designed future state process to integrate with HR
professional activities for systematic tracking with
candidates
2. Recommended future state process to frontload referrals
ensuring no hiring of familiar & similar candidates
3. Designed future state process for consistent/centralized
evaluation of candidates
HOW DATA CAN HELP YOU RECRUIT TALENT
7. 7
Integrating data
Combined student and
financial records to build a
model that can (1) identify the
student characteristics
associated to a risky student
and (2) assign a risk score to
individual students
FINANCE BACK OFFICE
REDUCING RISK TO IMPROVE FEE COLLECTIONS
The findings
• The Bursar’s Office has potential to improve operations
collection efficiency by 50%
• Working a prioritized list could generate an estimated
$250K in savings annually
8. 8
Using data to gain insights
The Bursar’s office piloted a
program where students could
waive a late payment fine by
taking a Financial Wellness
Training Course. The Bursar
wanted to know if the course
was more effective than the
fines.
BACK TO FRONT OFFICE
HELPING MAKE STUDENTS MORE RESPONSIBLE
What the data showed
Prior to taking the Financial Wellness Training class,
57% of student payments are late and are on average
34 days late. After taking the course, 47% of payments
are late and are on average 14 days late.
Taking a new approach
Expand the Financial Wellness Training course as
mandatory for incoming freshman to ultimately improve
student financial health
9. 9
DNP Workload Impact
time the University spent re-enrolling
students who were dropped for non-
payment in the 2016 school year
DNP Retention Impact
DNP Communication Efficiency DNP On-time Graduation Impact
800 hours 20%
17% $11K/student
decrease in year 1 retention for those
dropped and re-added in their freshman
year compared to those who did not DNP
increase in the percentage of students who
pay after communication in the highest
performing college compared to the average
for an additional term of tuition for students
who were dropped and re-added at least
once
BACK TO FRONT OFFICE
WHAT IS THE OPERATIONAL IMPACT OF
SUSPENDING/RE-ENROLLING STUDENTS FOR LATE
PAYMENTS?
10. …AND SO WHAT?
10
WHERE COULD YOUR INSTITUTION GO FROM HERE?
SHINE A LIGHT ON
THE PAUCITY OF DATA
Data will become the most
valuable commodity and
worth of investment
INSIGHT IS ONLY
THE FIRST STEP
Actions are born out
of insights to transform
your institution