A Cognitive Analytics Management Framework (CAM-Part 3): Critical Skills Shortage, Higher Education Trends, Education Value Chain Framework, Government Strategy

A Cognitive Analytics Management Framework (CAM-Part 3): Critical Skills Shortage, Higher Education Trends, Education Value Chain Framework, Government Strategy

Ibrahim H. Osman (American University of Beirut, Lebanon) and Abdel Latef Anouze (Qatar University, Qatar)
DOI: 10.4018/978-1-4666-4474-8.ch003
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Abstract

The main objectives of the chapter are to evaluate the impact of the tsunami of big data, business analytics, and technology on the delivery and diffusion of knowledge around the world through the use of Internet-of-things and to design future academic education and training programs. Global and local trends are analyzed to evaluate the impact of the digital tsunami on the delivery and diffusion of knowledge; to identify the shortage of critical skills, drivers of challenges, hot skills in demand, and salaries in big data/business analytics; to highlight obstacles to make informed decisions. CAM education framework is proposed to design customized higher education and training programs to meet current shortage and future generation with the relevant and rigorous skills to boost productivity growth and to impact society and professional domains in the digital economy. Finally, new ideas on how governments, academic institutions, technology companies, and professional employers can work together to reform the traditional education value chain and integrate the “massive open online courses” to achieve mass diffusion of knowledge, to transform people from loyalty to parties, clergies, and dictatorships to society's loyalty, and to develop a culture of shared-value in a move towards a smarter and fairer planet in the 21st century.
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McKinsey’s center for government published in January 2013 a report on “education to employment: designing a system that works”. It is based on analysis of a survey of more than 100 education-to-employment education value chain initiatives from 25 countries and stakeholders views, (McKinsey 2013). The countries were selected on the basis of innovation and effectiveness of their education initiatives. It surveyed stakeholders including youth, education providers, and employers that were selected from nine countries (Brazil, Germany, India, Mexico, Morocco, Saudi Arabia, Turkey, United Kingdom, and United States). The report’s findings are summarized into six main highlights which are explained as follows:

Key Terms in this Chapter

DILIGENTS: D emography, I nnovation; L egal; I nternal- G overnance; E nvironmental, N eeds, T echnological, and S takeholders.

SAMAS: S hared values, A nalytics, M ission, A ctivities, and S tructure.

Business Analytics Concept: The usage of business information intelligence: business statistical intelligence, and business modeling intelligence to make business informed decision.

Shared Value Models: The extended traditional business models to deliver the shared value to benefit the communities around them. They include inclusive business model, social models, etc.

Shared Value: The sum of the business value to internal shareholders and the economic, environment and social impact values to external stakeholders.

Societal Needs: Include the essential elements for human survival that range from energy, food, and water, to health, job, security, and transport.

Innovation: The processes of generating, developing and implementing new ideas and behaviors.

MOOCs: Massive Open Online Courses.

Education Value Chain: The total value of an education-wide system incorporating values to students, academic institutions and to society.

Cognitive Analytics Management: The scientific processes of acquiring data, and transforming them into applied insights to make informed decisions using data analytics models, cognitive systems and tools in a specific contextual domain whether business, government, for profit and not for profit organizations. They are inspired by human brain intelligence to make informed decisions in real time.

Internet of Things: Brings people: processes, data, and devices together online to create the world networked society, to enrich their knowledge and experiences, to turn data into actions with new unprecedented economic opportunity and capabilities for businesses, individuals, and countries.

Smart Organization: Can learn, identify challenges, process critical experiences into new learning to draw conclusions, and make informed real-time decisions using the internet of things anytime, anywhere, and anyplace.

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