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Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald Norris
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Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

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Page 1: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Analytics: Moving From Great Promise to Tangible Success Workbook

University of Maryland University

CollegeJuly 21-23, 2014Dr. Linda L. BaerDr. Donald Norris

Page 2: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

 I. First Workshop:–9:00 – 10:30 am, July 22, 2014Leadership, Culture and Readiness for Analytics

• Where are you?• How ready are you?• What’s your analytics maturity index?

Page 3: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Where are you?

Page 4: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.
Page 5: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Strategic Intelligence for Higher Education

How many, how often, where?

Where exactly is the problem?

What actions are needed?

Why is this happening?

What if these trends continue?

What will happen next?

What’s the best that can happen?

Page 6: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Key Questions Addressed by Analytics

Past Present Future

Information

Insight

What happened?

(Reporting)

What’s happening Now?(Alerts)

What will happen?

(Extrapolation)

What’s the best/worst that can happen?(Prediction, Optimization,Simulation)

What’s the nextbest action?

(Recommendation)

How and whydid it happen?

(Modeling,Experimental design)

Analytics at Work. Davenport, Harris and Morison.2010

Page 7: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

STRATEGIC QUESTIONDATA

ANALYSIS AND PREDICTION

INSIGHT AND ACTION

ANALYTICS

http://www.educause.edu/library/resources/2012-ecar-study-analytics-higher-education

Page 8: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Defining Your Current Problem

Briefly explain your current problem: Give it a code name (just for fun):

What about this problem lends itself to an analytics solution process? Who would benefit if the problem were solved?

What is your role in the problem/solution?

What resources ($) may be available to you and others?

Who has tried to solve this before? Were they successful? Why or why not?

Page 9: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

DESIGN Worksheet

Write the Problem Statement:

What data do you have? What data do you need? Gap between what you have and what you need?

What campus team will need to be involved?• • • • • • • • •

List criteria for completion/success:• • • • • • • • • •

What research, assessment, and analysis will you do?• • • • • • • • • •

Who can get the data?

Page 10: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

DESIGN Worksheet

Describe current leadership and culture environment for evidence-based decision making supporting student success:

What role is leadership currently playing?

What is the investment plan?

What campus team will need to be involved?• • • • • • • • • •

List criteria for completion/success:• • • • • • • • • •

How would you describe your culture for data driven analytics to support student success?• • • • • • • • •

How are the stakeholders involved?

Page 11: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

ECAR MATURITY OVERALL MATURITY INDEX

Page 12: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Analytics Maturity Index

http://www.educause.edu/ecar/research-publications/ecar-analytics-maturity-index-higher-education

Page 13: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

DESIGN Worksheet

Campus Readiness – see ECAR Analytics Maturity Index

Culture/Process Investment

Governance and Infrastructure • • • • • • • • •

List criteria for completion/success:• • • • • • • • • •

Expertise • • • • • • • • •

Data, Reporting, Tools

Page 14: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Second Workshop: 3:15-4:15 pm, July 22, 2014Applying Analytics to Optimizing Student Success 

• Baer Norris Ways to Use Analytics in Optimizing Student Success• Stages of Student Success• Case Study Examples

Page 15: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.
Page 16: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

• Static Reporting• Dynamic Analysis and Intervention• Optimization

Stages of Student Success Analytics

Page 17: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Stages of Student Success Analytics

CharacteristicsStage I

Getting Started with Analytics

Stage IIAccelerating the Progress

of Analytics

Stage IIITransforming/Optimizing Leveraging

Analytics

Technology, Processes and Practices

Basic ERP, LMS, Report Writing ToolsFirst Ventures into Analytics Tools and Applications, Pilot Projects /Dept Solutions

Combination of ERP, LMS, Analytics Applications, CRM, Advising)First-Generation Predictive Analytics

Sophisticated Data Warehouses with Analytics, Embedded Predictive Analytics, Leading to More Advanced Practices

Skills and Values Power Users Provide Reports

Analytics Spread More Broadly – Concept of Analytics for the Masses

Pervasive Data, Information, and Analytics Engages Everyone from Front-Line Knowledge Worker to Executives

Leadership Leadership Focuses on Data and Reporting

Leadership to Encourage Evidence-Based Decision Making

Strong, Consistent Leadership, Analytics is a Strategic Imperative

Culture Culture of Reporting Culture of Evidence-Based Decision Making Reflected in Behaviors

Culture of Performance Measurement and Improvement

Number of Institutions in this Category

3,000+ Approximately 800-900 Approximately 40-60 Mostly For-Profits and Online UniversitiesUMBC, UMUC are Among These

Page 18: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

What is Your Stage of Development of Student Success Analytics

CharacteristicsStage I

Getting Started with Analytics

Stage IIAccelerating the Progress

of Analytics

Stage IIITransforming/Optimizing Leveraging

Analytics

Technology, Processes and Practices

Skills and Values

Leadership

Culture

Page 19: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

The market is immature, but multiple solutions are emerging in each application category

© 2010 Bill & Melinda Gates Foundation | 19

EducationPlanning

Counseling and coaching Risk Targeting andIntervention

Transfer andArticulation

Legacy ERP/SIS/LMS

Vendor point solutions

Homegrown point solutions

Direct-to-student

Austin Peay’s Degree Compass

Valencia’s LifeMap

Sinclair’s MAP

Central Piedmont’s Online Student Profile

WICHE’s Predictive Analytics Reporting

Page 20: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Higher Education Analytics LandscapeInstitutional Analytics (HR, Finance, Enrollment)

(Blackboard, COGNOS)

(Starfish EARLY ALERT and Starfish CONNECT, Hobsons)

(Starfish INSIGHT v.1)(Knewton, MyLabs, ALEKS)(Noel-Levitz, Mapworks,

EAB, J. Gardner, Campus Labs,

CIVITAS Learning)

Starfish INSIGHT v.2-v.3

“Retention CRM” Analytics

Program Effectiveness Analytics

Student Success Analytics

Instructional AnalyticsAt-Risk Student Predictive Analytics

Adapted from Presentation by David Yaskin, President Starfish at IPAS Conference 2014

Page 21: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Integrate or Replace?Learning Management Systems

(LMS) Module

Course clicks predict risk e.g. Blackboard Retention Center, Blackboard Analytics, Ellucian Signals, Desire2Learn Student

Success System

Student Information Systems (SIS) Module

Instructors flag students and/or demographics predicts risk e.g.

Jenzabar Retention, Ellucian Retention Alert, Banner Retention Mgr

Client Relationship Management (CRM) Module

Instructors flag students + email students to fix the problem e.g.

Hobsons Retain, Campus Management Talisma

Tracking / Scheduling Systems

Track meetings, schedule meetings e.g. AdvisorTrac, SARS,

TutorTrac, AccuTrac

Degree Audit and Planning

Academic Plans prevent mis-steps e.g. Ellucian Degreeworks, Hobsons

AgileGrad, CollegeSource u.Achieve/u.Direct

Early Alert Systems

Survey instructors + schedule meetings e.g. GradesFirst,

Pharos, Symplicity InsightAdvising

Case Management Systems

Walk a student through the steps for success e.g. Student Success

Plan

Predictive Analytics (standalone)

Anticipate problems based on data from systems e.g. Civitas Learning, Education Advisory

Board

Student Survey Systems

Anticipate problems based on student’s self reporting e.g. Noel

Levitz CSI, EBI Map-works, Campus Labs Beacon

Starfish® Enterprise Success Platform

integrate integrate

integrate/replace

integrate/replace

integrate/replace replace replace

replace replace

Page 22: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Making Student Success An Institutional Priority

Page 23: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Worksheet – Making Student Success an Institutional Priority

Establish a Sense of Urgency for Taking a Systemic and Systematic Approach to Student Success:

Form a Powerful Guiding Coalition: Create a Vision/Strategy and Communicate the Vision/Strategy:

Institutionalize New Approaches and Behaviors, Focus on Changing Culture and Behaviors, Demonstrate Successes:• • • • • • • • •

Plan for an Leverage Short-Term Wins/Leverage Existing Pilots and Analytics Capabilities/Demonstrate Improvements:• • • • • • • • • •

Consolidate Improvements, Produce Still More Change, Follow an Expeditionary Strategy:• • • • • • • • • •

Empower Others to Act on That Vision/Eliminate Barriers:

Page 24: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Third Workshop: 1:30-2:30 July 23, 2014Putting the Pieces Together

• Getting Started from Where you Are• Future of Student Success Solutions• Build, Buy, Buddy, Borrow• 3-year planning cycle

Page 25: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.
Page 26: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

STUDENT SUCCESS SOLUTIONS

• Emerging now are a set of rapidly developing technology tools to support students as they progress through a course and program.

• Depending on the individual student’s understanding of specific ideas, concepts, and operations, these tools have the capacity to • personalize the learning experience for every student• chart individual pathways through course materials

Page 27: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

EducationPlanning

Counseling and Coaching

Risk Targeting andIntervention

Transfer andArticulation

Legacy ERP/SIS/LMS

Vendor point solutions

Homegrown point solutions

Direct-to-student

Austin Peay’s Degree

Compass

Valencia’s LifeMap

Sinclair’s MAP

Central Piedmont’s Online Student

Profile

WICHE’s Predictive Analytics Reporting

Page 28: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Higher Education Analytics Landscape

Institutional Analytics (HR, Finance, Enrollment)(Blackboard, COGNOS)

(Starfish EARLY ALERT and Starfish CONNECT, Hobsons)

(Starfish INSIGHT v.1)(Knewton, MyLabs, ALEKS)(Noel-Levitz, Mapworks,

EAB, J. Gardner, Campus Labs,

CIVITAS Learning)

Starfish INSIGHT v.2-v.3

“Retention CRM” Analytics

Program Effectiveness Analytics

Student Success Analytics

Instructional AnalyticsAt-Risk Student Predictive Analytics

Adapted from Presentation by David Yaskin, President Starfish at IPAS Conference 2014

Page 29: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Integrate or Replace?Learning Management Systems

(LMS) Module

Course clicks predict risk e.g. Blackboard Retention Center, Blackboard Analytics, Ellucian Signals, Desire2Learn Student

Success System

Student Information Systems (SIS) Module

Instructors flag students and/or demographics predicts risk e.g.

Jenzabar Retention, Ellucian Retention Alert, Banner Retention Mgr

Client Relationship Management (CRM) Module

Instructors flag students + email students to fix the problem e.g.

Hobsons Retain, Campus Management Talisma

Tracking / Scheduling Systems

Track meetings, schedule meetings e.g. AdvisorTrac, SARS,

TutorTrac, AccuTrac

Degree Audit and Planning

Academic Plans prevent mis-steps e.g. Ellucian Degreeworks, Hobsons

AgileGrad, CollegeSource u.Achieve/u.Direct

Early Alert Systems

Survey instructors + schedule meetings e.g. GradesFirst,

Pharos, Symplicity InsightAdvising

Case Management Systems

Walk a student through the steps for success e.g. Student Success

Plan

Predictive Analytics (standalone)

Anticipate problems based on data from systems e.g. Civitas Learning, Education Advisory

Board

Student Survey Systems

Anticipate problems based on student’s self reporting e.g. Noel

Levitz CSI, EBI Map-works, Campus Labs Beacon

Starfish® Enterprise Success Platform

integrate integrate

integrate/replace

integrate/replace

integrate/replace replace replace

replace replace

Page 30: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Inventory of Your Student SolutionTool Sets

Educational Planning

Counseling and Coaching

At Risk and Early Alert

Transfer and Articulation

Predictive Analytics

LegacyERP/LMS

Vendor Point Solutions

Home Grown Solutions

Direct to Students

Page 31: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Build, Buy, Buddy, Borrow Solution Tools• Build – homegrown systems, applications, processes, and

competences • Buy - utilize solution providers to acquire systems, applications,

processes and competences• Buddy – partner collaborate and share• Borrow• Mash-up Strategy combining all four

Page 32: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

QUESTIONSBuild, Buy, Buddy, Borrow?• What are you seeking?• What do you already have?• Where do you want to go next?• What options work best?• What is the short term and long term strategy and plan?

Page 33: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

DESIGN Worksheet

Describe current student solution tool decision making environment

What factors are shaping the BBBB decision?

What are you seeking?

What is the short term and long term strategy and plan?• • • • • • • • • •

• • • • • • • • • •

What options work best in BBBB?• • • • • • • • •

What do you already have?

Where do you want to go next?

Page 34: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

IMPLEMENTATION Worksheet

Summarize the Implementation Strategy for year 1, 2, and 3.

How does this serve as a gateway to analytics that optimize student success?

Target 1: Student Solution Sets

Specific actions that are necessary?• • • • • •

Target 2: Build, Buy, Buddy, Borrow

Specific actions that are necessary?• • • • • •

Target 3: Roadmap for 3-Year Plan

Specific actions that are necessary?• • • • • •

What are the key elements and features?

Who does this involve?

What does success look like?

What resources ($) are necessary?

List specific outcomes and metrics:• • • • •

Page 35: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

SOAR Template and Analytics Readiness Strengths Opportunities Aspirations Results

Leadership and Culture

Data Readiness and

Organizational Structure

Technology and Enterprise Systems

Page 36: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Roadmap: 3-Year Plan Evolution

2011 2012 2013 2014 2015

DESIGNIdeation

PILOTS

SCALE

OPERATIONALMeasure, Monitor, Optimize

Test & Learn

Implement

Page 37: Analytics: Moving From Great Promise to Tangible Success Workbook University of Maryland University College July 21-23, 2014 Dr. Linda L. Baer Dr. Donald.

Analytics: Moving From Great Promise to Tangible Success Workbook

Dr. Linda L. [email protected]

Dr. Donald [email protected]