Leading With Data· a Bicycle Guide

Partial book profile

Business Intelligence and Big Data Business Intelligence and Big Data Drivers of Organizational Success

A scholarly synthesis arguing that organizational success in the digital age depends on building Business Intelligence and Big Data (BI&BD) capabilities to convert data into knowledge, value, and competitive advantage.

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What it’s about

Business Intelligence and Big Data: Drivers of Organizational Success makes the case that in a turbulent, information-saturated economy, intangible resources—information and knowledge—are an organization's most strategic assets, and that the ability to intelligently process and analyze them is the key competence separating winners from losers. Drawing on resource-based and dynamic-capabilities theory, knowledge management, and decades of decision-support research, Celina Olszak walks readers through the essence and architecture of BI systems, the techniques and technologies of Big Data, concrete application domains (marketing, CRM, insurance, banking, telecommunications, energy, logistics, health care, HR), and the maturity models and critical success factors that determine whether BI&BD investments actually create business value. It is at once a textbook for students, a research agenda for scholars, and a practical handbook for managers and ICT specialists who want to know not just what BI&BD can do but what determines its successful design, implementation, and value creation.

The through-line

Who it’s for
A manager, researcher, or ICT specialist who wants their organization to succeed by turning information into competitive advantage.
The problem
Organizations are drowning in dispersed, inconsistent, fast-growing data yet under-utilize the potential of BI&BD to support decisions. They feel uncertain whether success is luck or something that can be planned, and overwhelmed by complexity and rapid technological change.
The plan
  1. Understand the changing environment and treat information and knowledge as strategic resources.
  2. Learn the essence, architecture, and models of Business Intelligence systems.
  3. Master the techniques and technologies needed to analyze Big Data.
  4. Identify the application areas where BI&BD deliver value in your industry.
  5. Assess your BI&BD maturity, address critical success factors, and build a strategy for Big Data-based value creation.
The payoff
Faster, better decisions at operational, tactical, and strategic levels. · Improved customer relationships, business processes, and competitive advantage. · A fact-based, learning, and creative culture that continuously creates value from data.

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Additional reading

  • The Knowledge Creating Company · I. Nonaka and H. Takeuchi

    This book provides the seminal theory on explicit vs. implicit knowledge and the 'spiral of knowledge' (SECI) model, which the author uses in Chapter 1 to frame the discipline of knowledge management.

  • Design Science in Information Systems Research · A.R. Hevner, S. T. March, J. Park, & S. Ram

    This academic paper provides the theoretical underpinning for how information systems should be designed and evaluated, which the author uses to ground the discussion of designing decision support systems in Chapter 1.

  • Big Data: The Management Revolution · A. McAfee and E. Brynjolfsson

    A frequently cited HBR article that frames Big Data not as a technology shift but as a fundamental shift in management, influencing the author's discussions on value creation and organizational transformation.

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