Analytics & Performance Management for Higher Education

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Transcript Analytics & Performance Management for Higher Education

IBM University Relations
Analytics for Education
Business Analytics
© 2011 IBM Corporation
Analytics for Education
“Education is not the filling of a pail, but the lighting of a fire.”
William Butler Yeats
© 2011 IBM Corporation
Analytics for Education
The Education Community Faces New Challenges Everyday…
Continuing
Budget
Pressures
Increasing
Student Success
Managing the
Business of
Education
Lack of
Decision-Quality
Information
Demands for
Accountability &
Transparency
© 2011 IBM Corporation
Analytics for Education
…and Silos Often Persist That Impact Outcomes
Operations
Budget &
Finance
Workforce/
HR
Tuition &
Enrollment
Curriculum
Planning
Information
Technology
Grants &
Research
Students &
Alumni
© 2011 IBM Corporation
Analytics for Education
Removing Silos Leads to Better Performance & Better Outcomes
Budget &
Finance
Grants &
Research
Operations
High Achieving
Education
Institutions
Curriculum
Planning
Tuition &
Enrollment
Students &
Alumni
Workforce/
HR
Information
Technology
© 2011 IBM Corporation
Analytics for Education
Analytics Helps Manage & Improve Performance for Better
Outcomes
Mission
Performance
Academic
Performance
Financial
Performance
Operational
Performance
• Mission, financial and operational aspects define the
education institution’s imperatives.
• From those imperatives, measurable goals and objectives
are developed that measure outcomes.
• Analytics helps to manage the outcomes required and
demanded for and by students, faculty, parents.
© 2011 IBM Corporation
Analytics for Education
Analytics for Education
 Complete view of students,
faculty, curriculum, programs,
operations and budgets
Mission
Performance
 Manage and reduce risk
 Improve operational efficiency
Academic
Performance
Financial
Performance
 Ensure transparency
 Drive the best possible
outcomes
Operational
Performance
© 2011 IBM Corporation
Analytics for Education
Informed, Aligned Decisions and Actions
Budgets &
Finance
Grants &
Research
Operations
Decide
and Act
Tuition &
Enrollment
Curriculum
Planning
What should
we be doing?
Why?
How are we doing?
Information
Technology
Students &
Alumni
Workforce/
HR
© 2011 IBM Corporation
Analytics for Education
IBM Analytics for Education Value Proposition
IBM Analytics delivers
actionable insights for
decision makers at all levels of your
university, enabling them to optimize
business and academic performance
© 2011 IBM Corporation
Analytics for Education
IBM is betting big on analytics...
•IBM sees strong growth in its analytics initiatives. IBM's analytics revenue
continues to grow at double-digit rates
•From 2008 to 2010, IBM has invested more than $14 billion in 24+ acquisitions
to expand its analytics capabilities.
•As part of IBM's Business Analytics and Optimization service line, there are
more than 7,800 dedicated analytical business consultants
•More than 200 IBM mathematicians focus exclusively on analytics.
•To date, IBM has received nearly 500 analytics patents.
•The Company's roadmap projects $16 billion in business analytics and
optimization revenue by 2015.
• Since inception (2004) the IBM Academic Initiative has served 45,000 faculty,
covering 10,000+ institutions, teaching 100,000 courses, to 2.7M+ students
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© 2011 IBM Corporation
Analytics for Education
Cognos & SPSS have long been a part of academe
For example, over the past 3 years IBM
SPSS academic customers represented:
• 80% of all colleges and universities
• 100% of Ivy League Schools
• All 25 of Forbes 2009 America’s Top Best Colleges
• 97% of Forbes 2009 America’s 100 Best Public
Colleges
• 95% of Forbes 2009 America’s 100 Best Private
Colleges
• 9 out of the Top 10 Online Colleges
Vanderbilt
*Source: Carnegie Foundation for the Advancement of Teaching, Carnegie Classifications Data File, June 19, 2009.
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**Source:
American Association of Community Colleges
© 2011 IBM Corporation
Analytics for Education
IBM Analytics for Education Performance Management
IBM Cognos education performance management helps
data-rich, education organizations harness the full
potential of their data.
 By streamlining the reporting and analysis process,
Departments of Education, districts, and schools can
create multi-variable reports with consistent data all
from one data storage system.
 A balanced scorecard will aid education organizations in
mitigating the multiple factors that impact targets and
goals.
 Budgeting and planning allows Departments of
Education, districts, and schools define, model,
coordinate, and adjust targets and goals.
© 2011 IBM Corporation
Analytics for Education
IBM Analytics for Enrollment and Tuition Planning
Performance Blueprint
 Analyze enrollment trends, history and projections.
 Produce dynamic reports with hierarchical drilling
capability from summary to detail, such as the
profitability of a single class
 Create efficient and rapid changes across all levels.
 Provide a collaborative application with narrative ability.
 Plan for an entire year with the ability to submit
modification.
 Perform “what-if” modeling and scenario analyses to
compare alternatives
© 2011 IBM Corporation
Analytics for Education
IBM Analytics for Salary Planning and Position
Control Blueprint
 Track faculty salary and funding sources.
 Understand the total cost of individual instructors
including benefits and lump sum payments.
 Determine when funding sources are going to change
or run out and how to replace them.
 Plan compensation updates and changes.
 Determine headcount needs.
 Develop salary and position funding plans that
are aligned with current and long-range academic
program requirements
© 2011 IBM Corporation
Analytics for Education
IBM Analytics for Student and Teacher Performance
Gain a complete view of student and the school to track all academic, financial and
operational requirements and threats to student achievement and success.
Improved student performance
• Manage student and teacher performance at
the individual level
• Identify students at risk before they drop out
• Manage student curriculum at the individual
level for enhanced learning.
Stronger fiscal oversight
• Manage budgets collaboratively across the
enterprise
• Reduce costs through deeper insight into
spend and funding information
Streamlined operations
• Consolidated view of operational requirements
across the enterprise for greater efficiency
Smarter Education
© 2011 IBM Corporation
Analytics for Education
IBM Analytics for Instructional Intervention Plans in Education
Using instructional case management capabilities to help identify students at risk of
not succeeding and track intervention programs
Early Warning System
Improved Student Attainment
• Delivers optimized case outcomes
through analytics, rules, collaboration and
social computing
• Early identification of at-risk students with
score-carding, reporting, and analysis
• Leverage historical data and “what-if”
analysis to recommend interventions and
actions based on a student’s likelihood of
success
• Manages & governs the entire case
lifecycle
• Development of interventions based on
individual learning styles
• Ability to track assessments and progress
• Improves teacher productivity and
success rate in managing at-risk students
© 2011 IBM Corporation
Analytics for Education
IBM Analytics for Finance and Operations in Education
Business Analytics Help Manage & Improve Performance for Better Outcomes
A Roadmap to Managing
Performance on Campuses
• Mission, financial and operational
aspects define the education
institution’s imperatives
• From those imperatives, measurable
goals and objectives are developed
that measure outcomes
• Business Analytics helps to
manage the outcomes required and
demanded for and by students, faculty,
parents
Business Analytics Provides:
• Complete view of students, faculty,
curriculum, programs, operations and
budgets
• Manage and reduce risk
• Improve operational efficiency
• Ensure transparency
• Drive the best possible outcomes
© 2011 IBM Corporation
Analytics for Education
IBM Analytics for Decision Management in Education
Gain a complete view of students and teachers to understand and predict the need
for intervention to ensure student success.
Student performance analytics
• Analyze surveys and modeling to identify drivers of
student behavior and identify key performance
predictors (KPPs), including student retention and
recruitment.
• Better predict the outcome of student actions—drop
out, performance interactions.
Teacher performance analytics
• Identify drivers of teaching behavior via survey
analysis and modeling as well as KPPs for student
learning success.
• Better predict the outcome of teacher actions and
teacher performance.
• Target teachers for additional training to improve
results.
© 2011 IBM Corporation
Analytics for Education
Decision Management in Education
Six Ways to Success
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© 2011 IBM Corporation
Analytics for Education
© Copyright IBM Corporation 2008 All rights reserved. The information contained in these materials is provided for informational purposes only, and is provided AS IS without warranty of any
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© 2011 IBM Corporation
Appendix
Business Analytics
© 2011 IBM Corporation
Analytics for Education
American Public University System
Background and Challenge
• American Public University System (APUS)
is an online university serving 70,000
distance learners from the U.S. and more
than 100 countries.
• Boost student retention and academic
excellence by identifying the factors driving
student behavior and predicting the
likelihood of an individual student staying on
course or dropping out.
Solution
Predictive Analytics and Intervention
• SPSS identifies the variables crucial to student
retention and provided administrators with
online dashboards to identify at-risk students
and build intervention strategies, including
better course designs, to keep students on
track to graduation.
Benefits
Data-driven analysis of student behavior
and course surveys give university
administrators a solid basis for
understanding student retention,
improving intervention strategies designed
to keep students in school.
Ability to predict with ~ 80% certainty
whether a given student is going to drop
out
Develop effective intervention strategies
to retain students by addressing the
individual challenges to keeping them
engaged.
“By leveraging the power of predictive
analytics, we can predict the probability that
any given student will drop out.”
Phil Ice, APUS’ director of course design, research and development.
Efficient. Focused. Student-centric
© 2011 IBM Corporation
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Analytics for Education
University of Northern Michigan
Background and Challenge
Benefits
• Northern Michigan University is a 4-year
university offering a wide variety of
programs to nearly 9,400 undergraduate
and graduate students.
Real-time line of sight for academic and
administrative reports
• Aggregate data from different sources and
obtain real-time, consolidated views of HR,
finance, and academic information to
provide more insight into budget, student
and school operations.
The ability to run reports with no IT input
Solution
Cognos 8 BI
• The IBM Cognos 8 BI system enabled a
streamlined approach for NMU to view the
university’s data from a single portal.
Continuous access to key data
Tight integration with existing ERP
systems
The ability to do on-demand data analysis
"IBM Cognos solutions make it very easy to
get data into the hands of those who need it,
in the format they want."
Felecia Flack, Northern Michigan University
Efficient. Focused. Student-centric
© 2011 IBM Corporation
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Analytics for Education
Seton Hall University
Background and Challenge
• Seton Hall University is a major Catholic
university located in South Orange, New
Jersey.
• Extend the Seton Hall experience to
prospective students
• Reach students at the place where they
already spend their time
• Increase enrollments and revenues
Benefits
Achieved 25 percent tuition deposit lift
and 18 percent enrollment lift through
Facebook
Helped the university to make more
informed decisions regarding their
marketing investment for prospective
students and applicants
Ability to track ROI of outreach efforts
Solution
Web Analytics for Student Recruitment
• Used integrated marketing optimization
solutions from IBM Coremetrics to understand
how students move through the recruitment
process
• Added Coremetrics Impression Attribution
functionality to provide visibility into social
media channels
Seton Hall has used integrated marketing
optimization solutions from IBM Coremetrics
for several years to understand how students
move through the recruitment process. As
social media has evolved,
Efficient. Focused. Student-centric
© 2011 IBM Corporation
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Analytics for Education
University of California, Office of the President
Background and Challenge
• University of California, comprised of 10
campuses and 5 medical centers
• Existing systems not designed to support
analytical processing across campuses
• No UC-wide function supporting the need of
decision makers to understand current state
of UC system’s level of risk
• Information required for decision making is
non-integrated, missing, ambiguously
defined, or simply inaccessible.
Solution
Enterprise Risk Management
• Data warehouse serving as the data repository
for risk and controls related information.
• Integrates claims data (losses) and corporate
data (exposures) in addition to other data
sources for a centralized data environment
• Quantifies and track new and pre-defined key
performance indicators (KPIs).
Benefits
 Access to trends in Key Performance
Indicators provided to the fingertips of
executives, decision-makers and operations
staff alike
 Quick visibility into where to apply resources to
get the most cost of risk reduction for each
buck spent
 Automation of periodic reporting drives
efficiency gains, especially welcome during
these hard times
 Flexibility allows risk focus across multiple
functions – HR, Medical Center Care Quality,
Waste Management and Recycling, Finance,
Safety and Insurable Risk, etc
"The best way to mitigate risk is through
prevention and preparation, and IBM's
analytics technology provides us with the realtime data we need to be able to do that."
GraceFocused.
Crickette, Chief
Risk Officer for the University of California.
Efficient.
Student-centric
© 2011 IBM Corporation
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Analytics for Education
University of Wollongong
Background and Challenge
• The University of Wollongong offers
leading-edge academic courses, worldclass research programs, and maintains a
commercial enterprise arm
• Improve university performance through a
comprehensive integrated performance
management system that communicates to
the university community relevant and
accurate information around the university’s
operational, tactical and strategic goals.
Benefits
Real-time line of sight for academic and
administrative reports
Independent recognition of progress
towards meeting management reporting
requirements; consistent, accurate and
timely information available across the
university
Ability to ‘drill down’ to different levels of
detail
Solution
Campus Intelligence System
• Cognos using Report Studio for report building,
Analysis Studio for analytical and drill-down
capabilities, Metrics Studio for enterprise
balanced scorecard and IBM Cognos Planning
for enterprise planning.
"The Cognos tools have not only allowed our
users to gain new insights into many aspects
and dimensions within the university, but also
find efficiencies and drive effectiveness in
those same areas."
Nikita Atkins, Project Director Performance Indicators,
University Of Wollongong
Efficient. Focused. Student-centric
© 2011 IBM Corporation
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Analytics for Education
University of Ottawa
Background and Challenge
• Telfer School of Management at the University
of Ottawa offers undergraduate and graduate
programs across business and health
management, information systems, finance,
human resources and marketing.
• Help students use the power of information by
applying modern information technology to
quickly identify key performance drivers and
apply analytic thinking to make insightful
management decisions.
Solution
Benefits
Student graduates with real-world skills
and experience in applying business
intelligence and analytics to management
IBM researchers reside at the University
of Ottawa and work side by side with the
Telfer School of Management faculty in a
collaborative lab environment that will
include research initiatives for high
performance computing with business
analytics as well as other research and
academic projects.
Business Analytics Research Institute
• A joint research institute centered on two key
areas of business analytics – performance
management, and business intelligence –
capabilities that help organizations better
integrate their global operations, sense and
respond, predict and then take action for smarter
management, better business decisions and
improved performance. .
"Analytics can be applied to every day
challenges to vastly improve our lives and
provide highly marketable skills to our university
students entering the workforce"
Dr. Greg Richards, Professor of Performance Management, University of
Ottawa Telfer School of Management.
Efficient. Focused. Student-centric
© 2011 IBM Corporation
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