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Business Intelligence Roadmap is a visual guide to developing an effective business intelligence (BI) decision-support application. This book outlines a methodology that takes into account the complexity of developing applications in an integrated BI environment. The authors walk readers through every step of the process--from strategic planning to the selection of new technologies and the evaluation of application releases. The book also serves as a single-source guide to the best practices of BI projects.
Part I steers readers through the six stages of a BI project: justification, planning, business analysis, design, construction, and deployment. Each chapter describes one of sixteen development steps and the major activities, deliverables, roles, and responsibilities. All technical material is clearly expressed in tables, graphs, and diagrams.
Part II provides five matrices that serve as references for the development process charted in Part I. Management tools, such as graphs illustrating the timing and coordination of activities, are included throughout the book. The authors conclude by crystallizing their many years of experience in a list of dos, don'ts, tips, and rules of thumb. The accompanying CD-ROM includes a complete, customizable work breakdown structure.
Both the book and the methodology it describes are designed to adapt to the specific needs of individual stakeholders and organizations. The book directs business representatives, business sponsors, project managers, and technicians to the chapters that address their distinct responsibilities. The framework of the book allows organizations to begin at any step and enables projects to be scheduled and managed in a variety of ways.
Business Intelligence Roadmap is a clear and comprehensive guide to negotiating the complexities inherent in the development of valuable business intelligence decision-support applications.
This step-by-step guide offers substantial treatment of the many parts of decision-support applications in business intelligence, with selective groupings of the chapters provided for the business representatives, sponsors, project managers, and core and extended team technicians who will be its main audience. The first half of the book is devoted to development, the second to various specific subjects, including human resource allocation, entry and exit criteria, deliverables, activity dependency, task/subtask, and practical guidelines. Both authors are business owners.
Excerpt.
Many organizations are already well equipped to implement successful business intelligence (BI) decision-support applications, such as data warehouses, data marts, and other business analytics applications. However, during our consulting and teaching engagements, we have encountered many ill-equipped organizations as well. We observed some common factors among them, which we address in this book:
* Lack of understanding of the complexity of BI decision-support projects
* Lack of recognizing BI decision-support projects as cross-organizational business initiatives and not understanding that cross-organizational initiatives are different from stand-alone solutions
* Unavailable or unwilling business representatives
* Unengaged business sponsors or business sponsors who have little or no authority due to their low-level positions within the organization
* Lack of skilled and available staff as well as suboptimum staff utilization
* Inappropriate project team structure and dynamics
* No software release concept (no iterative development method)
* No work breakdown structure (no methodology)
* Ineffective project management (only project administration)
* No business analysis and no standardization activities
* No appreciation of the impact of dirty data on business profitability
* No understanding of the necessity for and the usage of meta data
* Too much reliance on disparate methods and tools (the “silver bullet” syndrome)
BI project managers and project teams can use this book to improve their project life cycles. They can also use it to obtain the appropriate recognition for their BI projects from the business community and to solicit the required support from their executive management. BI project team members and the business representatives assigned to them can use this book to gain a better understanding of the development effort required to build and deploy successful BI decision-support applications.
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