The book ‘The Intelligent Organization’ aims to get you started with both the concept and the implementation of Business Intelligence to ultimately grow towards an intelligent, adaptive organization. The key themes are dealt with in ten chapters:
Business Intelligence: importance and objectives (chapter 1) looks at the benefits of Business Intelligence for organizations and at the opportunities BI offers. We emphasize both the value and the importance of Business Intelligence from four different perspectives: market, organization, people and technology.
BI processes and the Intelligent organization (chapters 2 to 5): these chapters deal with the organizational, managemental and information related aspects of Business Intelligence. How do we determine our information needs and indicators? What approaches do we apply? What does an Intelligent organization look like and what key processes play a role? What characterizes the behavior of managers and employees in an Intelligent organization and how important is good information (and BI) for them? Finally, what organizational changes will we face if we truly want BI to succeed?
The architecture of the Intelligent organization (chapter 6) provides a picture of the infrastructure an Intelligent organization uses in order to support the Business Intelligence processes permanently. The infrastructure consists of many elements including data warehouses and portals – enabling organizations to pivot -, metadata and reflex architectures and more.
Business Intelligence tools and applications (chapter 7) provides an overview of the most important tools and applications of Business Intelligence: reporting, balanced scorecards, dashboards, in-memory interactive analysis, business analytics, data mining, visualization, simulation, BI for the supply chain and analytical CRM.
BI projects (chapter 8): in this chapter, we describe how the Intelligent organization combines and integrates the Business Intelligence processes, infrastructures and tools in its projects. This chapter also covers the main projects risks, the key success factors and the competences that are specific to BI projects.
BI strategy and governance (chapter 9) looks at the different levels of ambition and at the organizational and strategic aspects of Business Intelligence that are critical for achieving the highest degree of intelligence. In this chapter, we also discuss the roles and responsibilities of the BI competence centre.
Future prospects (chapter 10): finally, we look into the future. We paint a picture of both Business Intelligence and (intelligent) organizations in the future.
Chapter 1 to 5 and chapters 7, 9 and 10 are mainly intended for the senior managers and directors of the organization, whereas chapters 6 and 8 are specifically intended for readers who wish to know how the Intelligent organization can be supported technically.
Who should read this book?
This book is intended for anyone who wishes to get more value from data and information; who wants to benefit from Business Intelligence and who is interested in the correlation between theory and practice in this field. People who have read this book are (likely) to ‘sell’ the concept of Business Intelligence within the organization much easier and collaborate with colleagues much more focused in order to implement BI successfully. Our mission is accomplished if our readers manage to effectively apply the concept of the Intelligent organization in their own organizations – or the organizations of their clients – and – in doing so – achieve substantially better results.
The book focuses particularly on managers and professionals who deal with IT and Business Intelligence or who operate on the cutting edge of business processes, performance management and ICT: CEOs, CFOs, policy development managers, CIOs, ICT managers, information managers, knowledge managers, business analysts, quality managers, controllers, architects, project managers, consultants and program managers.
The book also aims to provide IT personnel with a better picture of the goals and aspects of the Intelligent organization and how such an organization can be technically realized. This requires good understanding of the relationships between data, information, knowledge and action.