- The Digital Revolution: Why You Should Care
- Jan 7, 2016
- Inder Sidhu explains that we are in the early stages of a full-fledged digital revolution that will impact every industry, organization, business function, and career.
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- Using Digital Analytics to Drive Better Digital Experiences: Digital Meaning
- Dec 31, 2015
- In this chapter, you'll identify the basic challenge of digital measurement and analytics, and learn why common metrics and reports can’t easily answer the fundamental questions you’re likely to ask about the digital world.
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- How to Transform Traditional Businesses into Digital Leaders: The Essence of Digital
- Nov 25, 2015
- Any technology that connects people and machines with information or each other is digital. The authors of Revive explore the concept of digital, which can impact business strategy, user experiences, marketing channels, technology platforms, product development, human resources, communications, customer services, and operations.
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- Introduction to Inflection Point: How the Convergence of Cloud, Mobility, Apps, and Data Will Shape the Future of Business
- Sep 23, 2015
- Scott Stawski introduces his book, Inflection Point, which explains the strategic implications of today’s new technology paradigms, helping you reshape strategy to embrace and profit from them.
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- Marketing Data Science: Understanding Markets
- May 26, 2015
- Thomas W. Miller introduces his book, Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python, which involves building models of seller and buyer preferences and using those models to make predictions about future marketplace behavior.
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- Introduction: Exploring Innovations in Global Supply Chain Networks
- May 11, 2015
- The authors of Research in the Decision Sciences for Innovations in Global Supply Chain Networks: Best Papers from the 2014 Annual Conference discuss topics covered at the 2014 annual conference.
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- Using Person-Centered Health Analytics to Live Longer: It's About Health Outcomes!
- Mar 25, 2015
- Dr. Dwight McNeill introduces his book, Using Person-Centered Health Analytics to Live Longer: Leveraging Engagement, Behavior Change, and Technology for a Healthy Life, which proposes an entirely new framework for providers, payers, governments, and people to partner in the co-production of health.
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- Introduction to Common Disciplines That Separate Us: Local Contexts in Global Networks
- Mar 11, 2015
- Gyula Vastag introduces a collection of selected papers that offers readers an opportunity to learn about the insights and burning issues of decision making from scholars representing about a dozen countries, and a wide range of disciplines and scientific paradigms, in this excerpt from Research in the Decision Sciences for Global Business: Best Papers from the 2013 Annual Conference.
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- Introduction to Trends and Research in the Decision Sciences: Best Papers from the 2014 Annual Conference
- Jan 21, 2015
- Decision science offers powerful insights and techniques that help people make better decisions to improve business and society. Merrill Warkentin introduces this new volume, which brings together the peer-reviewed papers that have been chosen as the "best of the best" by the field's leading organization, the Decision Sciences Institute.
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- Modeling Techniques in Predictive Analytics: Being Technically Inclined
- Dec 26, 2014
- To work efficiently in web and network data science, it helps to be technically inclined, with some understanding of at least three languages: Python, R, and JavaScript. Learn the technical requirements to be proficient in predictive analytics in this chapter from Web and Network Data Science: Modeling Techniques in Predictive Analytics.
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- Introduction to Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics
- Dec 17, 2014
- In this chapter, Nathaniel Lin discusses the transformational power of data, whether big or small, and likens it to the way oil transformed the twentieth century. He also shows that the power is not in data alone but also as it is being refined through analytics.
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- Real-World Data Mining: Introduction to Analytics
- Dec 15, 2014
- Dursun Delen discusses the details of analytics, including where data mining fits in, the sudden popularity of analytics, the application areas and main challenges of analytics, and the cutting edge of analytics.
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- Fundamentals of Statistics
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By
David M. Levine
- Dec 10, 2014
- You can make better sense of the numbers you encounter if you learn to understand statistics. In this chapter, you begin by learning five basic words--population, sample, variable, parameter, and statistic (singular)--that identify the fundamental concepts of statistics.
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- The Big Data Big Bang
- Nov 24, 2014
- In this introduction to his book, Dale Neef considers where Big Data as a broader phenomenon takes us over the next decade, because the emerging Big Data-intelligence complex is already proving to be both rambunctious and irrepressible, introducing innovation at a rate that is almost impossible to follow, much less regulate.
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- Business Analytics with Management Science
- Nov 20, 2014
- In this introduction to his book, Arben Asllani emphasizes the importance of business analytics in today’s organizations, discusses the scope of business analytics and the set of skills required for business analyst practitioners, discusses the role of management science models in the Big Data era, explains challenges faced by organizations when implementing business analytics, and examines the new role of management science in the era of Big Data.
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- Decision Making Shapes Your Life
- Nov 4, 2014
- In this introduction to Decide and Conquer, Stephen P. Robbins explains that decision making is one of life’s most important skills.
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- Profiting from the Data Economy: Beyond Big Data
- Oct 14, 2014
- David A. Schweidel introduces his book, which considers the role that individual consumers, innovators and government will play in shaping tomorrow's data economy.
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- What Is Business Analytics?
- Oct 7, 2014
- In this chapter from Business Analytics Principles, Concepts, and Applications with SAS: What, Why, and How, the authors discuss what business analytics and its relationship to business intelligence.
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- Modeling Techniques in Predictive Analytics with Python and R: Analytics and Data Science
- Oct 6, 2014
- In this chapter from Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science, Thomas W. Miller discusses analytics and data science.
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- Modeling Techniques in Predictive Analytics: Analytics and Data Science
- Oct 3, 2014
- Thomas W. Miller introduces his book, Modeling Techniques in Predictive Analytics: Business Problems and Solutions with R, Revised and Expanded Edition, with a discussion of analytics and data science.
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