Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications "If you are looking for a complete treatment of business intelligence, then go no further than this book. Larissa T. Moss and Shaku Atre have covered all the bases in a cohesive and logical order, making it easy for the reader to follow their line of thought. From early design to ETL to physical database design, the book ties together all the components of business intelligence." --Bill Inmon, Inmon Enterprises This is the eBook version of the print title. The eBook edition contains the same content as the print edition. You will find instructions in the last few pages of your eBook that directs you to the media files.
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.
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. |
From inside the book
Results 1-5 of 90
... Data Analysis 133 Technical Data Conversion Rules 134 Business Data Domain Rules 134 Business Data Integrity Rules 135 Data Cleansing 136 Data Quality Responsibility 137 Source Data Selection Process 137 Key Points of Data Selection 139 ...
... Data Repository Design 237 Meta Data Silos 239 Sources of Meta Data 240 Meta Data Repository Solutions 242 ... Source Data Transformation 261 Data Transformation Activities 261 Underestimating Data Transformation Efforts 262 ...
... Data Analysis The biggest challenge to all BI decision-support projects is the quality of the source data. Bad habits developed over decades are difficult to break, and the damages resulting from bad habits are very expensive, time ...
... source data usually requires a lot of time to run the transformation and cleansing programs. Finishing the ETL process within the available batch window is a challenge for most organizations. Step 10: Meta Data Repository Design If a meta ...
... data definitions, writing test cases, making business decisions, resolving disputes between business units, and ... source data quality and preparing datacleansing specifications for the ETL process Database administrator Designing ...