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Enterprise Business Analytics Framework and Benefitsas Applied to Learning Analytics

in an Academic Setting

October 11, 2011Harvey R. Koeppel, Executive Director

Center for CIO Leadership

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A global community to drive research, provide thought leadership and education to advance the CIO profession

Founded in 2007 by IBM

Peer community > 3,000 members

Diverse membership >70 countries >45 industries Small, medium and large business

segments Private and public sectors

Center for CIO Leadership Overview

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The New Normal

Key Business Drivers… Global economic &

competitive challenges Role of government Mandate for transparency CEOs demanding innovative

business models Collaborative relationships /

partnerships Focus upon delighting the

customer Need for increased risk

management & compliance

Key Technology Drivers… Broadband accessibility Mobile computing Consumerization of IT Social everything Cloud computing / ‘X’aaS Explosive growth in data

generation (including unstructured)

Data-driven versus business process-driven

Real-time business analytics

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The CEO Perspective

CEOs see technology as a leading external factor driving the future of their organizations…

4

Source: IBM 2010 CEO Study

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Comparative Enterprise Operating Models

20th Century 21st Century

• Hierarchical Organization• Command & Control• Process Intensive• Product Focused• Historical Perspective• Subscription Model of

Information Management

• Networked Organization• Collaborative• Information Intensive• Customer Focused• Real-time Perspective• Interactive Model of

Information Management

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• Financial– productivity of employees – return on equity (ROE)– return on invested capital (ROIC)– return on assets (ROA)

• Customer-focus– ability to innovate to derive revenue from

new products (wallet share)– ability to expand the existing customer

base (market share)• Operational

– asset utilization (efficiency)– accuracy of planning and forecasting

(effectiveness)– on-time delivery of products & services

(quality)

Business Value ofEffective Information Management

Source: “Measuring the Business Impacts of Effective Data”, University of Texas 2010

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Business Value ofEffective Information Management

Source: “Measuring the Business Impacts of Effective Data”, University of Texas 2010

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Information for Competitive Advantage

“Today, there is an abundance of data - some would say an overabundance - with a wide array of tools to analyze it. Executives are beginning to realize that, if the deluge of information is to be exploited to the full, information should be widely shared, not hoarded. Only then can firms gain the insights that will put them ahead of their rivals.”

3%27%

70%

Extremely Somewhat Not Very

Source: “How Companies Use Data to Create Competitive Advantage”, Economist Intelligence Unit, 2010

How Valuable is Data to Competitive Advantage?

0102030405060708090

Extremely Somewhat Not VeryAccuracy Timeliness Detail

Relative Importance of Accuracy, Timeliness & Level of Detail

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Business Analytics Learning Analytics

Business analytics refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of …business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods.

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.

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Learning Analytics is an Emerging Discipline

Learning analytics is a relatively new field. The 1st International Conference on Learning Analytics was held in Banff, Alberta in March 2011…

“Learning Analytics 2011 will focus on integrating the technical and the social/pedagogical dimensions of learning analytics.” https://tekri.athabascau.ca/analytics/

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Current advances in learning analytics are following a striking similarpath to those used in business analytics…

• Data is collected in real-time from automated instructional environments

• Predictive analytics are used to determine students at potential risk

• “Actionable intelligence” is used to guide students to appropriate support resources

Educause Quarterly, Volume 33, Number 1, 2010 , “Signals: Applying Academic Analytics”, Kimberly E. Arnold

Learning Analytics and Customer Focus

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Learning Analytics and Academic “Supply Chain”

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Illustrative Learning Analytics Process Model

Data Information Insight Action

Johnny Got an A

That was Johnny’s Third A

Johnny is a superior performer

Johnny should meet with his advisor to discuss advanced placement

Standard Events

Key PerformanceIndicators

PerformanceBenchmarks

Learner’sAlternatives

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Creating a Student-CentricLearning Analytics-Driven Experience

Researchers• Normative Models• Standards• KPI’s• Benchmarks

Teachers• Curriculum• Content• Evaluation• Guidance

Student-CentricLearning

Analytics-DrivenExperience

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Continue the Conversation

For more information visit our site:

http://www.cioleadershipcenter.com

follow us on Twitter:

@CIOCenter

or contact:

Harvey R. KoeppelExecutive Directorhrkoeppel@cioleadershipcenter.com