Presentation Transcript

1. Enterprise Business Analytics Framework and Benefitsas Applied to Learning Analyticsin an Academic Setting

   October 11, 2011 Harvey R. Koeppel, Executive Director Center for CIO Leadership 1 1 1
2. 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 2 2 2 2
3. 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 3 3 3
4. The CEO Perspective CEOs see technology as a leading external factor driving the future of their organizations… Source: IBM 2010 CEO Study 4 4 4 4
5. Comparative Enterprise Operating Models 20th Century 21st Century Networked Organization Collaborative Information Intensive Customer Focused Real-time Perspective Interactive Model of Information Management Hierarchical Organization Command & Control Process Intensive Product Focused Historical Perspective Subscription Model of Information Management 5
6. Business Value ofEffective Information Management 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) Source: “Measuring the Business Impacts of Effective Data”, University of Texas 2010 6
7. Business Value ofEffective Information Management Source: “Measuring the Business Impacts of Effective Data”, University of Texas 2010 7
8. 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.” How Valuable is Data to Competitive Advantage? Relative Importance of Accuracy, Timeliness & Level of Detail Source: “How Companies Use Data to Create Competitive Advantage”, Economist Intelligence Unit, 2010 8
9. 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.
10. 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/
11. Learning Analytics and Customer Focus Current advances in learning analytics are following a striking similar path 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
12. Learning Analytics and Academic “Supply Chain” 12
13. Illustrative Learning Analytics Process Model Insight Data Information Action Standard Events Key Performance Indicators Performance Benchmarks Learner’s Alternatives 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
14. Creating a Student-CentricLearning Analytics-Driven Experience Researchers Normative Models Standards KPI’s Benchmarks Teachers Curriculum Content Evaluation Guidance Student-Centric Learning Analytics-Driven Experience
15. For more information visit our site: http://www.cioleadershipcenter.com follow us on Twitter: @CIOCenter or contact: Harvey R. Koeppel Executive Director hrkoeppel@cioleadershipcenter.com Continue the Conversation 15 15 15