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Fundamentals of Business Intelligence
This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.
366 pages, Hardcover
First published June 12, 2015
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Displaying 1 - 2 of 2 reviews
August 9, 2016
Fundamentals of Business Intelligence is an inside look at what goes on behind the complex doors of data exploration and usage. It is an introduction to the various aspects of business intelligence.
The authors identify how business intelligence is crucial to intelligent businesses in order to recognise, analyse, model and make sense of the ever growing amounts of unstructured data that is in existence in order to make critical business decisions. Those with skills in machine learning and data analytics are well placed to take advantage of the careers available in the field of business intelligence. Those looking to gain these skills would do well to use the book as an introduction to the vast area of business intelligence.
The book recognises that a unified approach to business intelligence is required. It therefore examines the full lifecycle of data and focuses on four main areas of business intelligence 1) data modelling and data provisioning 2) data and process visualisation 3) machine learning, data and text mining and data analytic and 4) process analysis, mining and management.
The book is therefore of interest to practitioners, students and businesses. The usage of examples and case studies enable real life application and brings a sophisticated text to life.
Each chapter starts with an abstract and important signposting for the reader. The use of five cases presented throughout the book make the application of the techniques and methods a little easier to read in what could be said to be a technical text. For sure the book does assume a level of knowledge that the average reader may struggle with unless they have prior knowledge of information systems or software engineering. That said the book is a comprehensive and thoroughly well thought out introduction to the subject of business intelligence and the reader will not be left wanting as the clear examples are numerous.
The book begins with a general introduction to the business intelligence process and then goes on to explain the different focuses in the following chapters. Different techniques are explained in subsequent chapters. Chapter 2 discusses the approaches to modelling; chapter 3 provides details of data provisioning and big data.Chapter 4 looks at visualization and reporting, chapter 5, 6 and 7 cover the different techniques for analysis. Each chapter closes with references and further reading which will be of benefit for those looking for more on each topic. Each chapter explains its focus by employing the four use cases presented in the introductory chapter on patient management, higher education, logistics, and customer relationship management.
Finally chapter 9 gives a summary of the book which additionally consolidates a well-planned text book.
Readers interested in the value of data and the concepts behind business intelligence will find the book and its accompanying website highly informative.
Review by Georgette Banham
Originally posted: http://www.bcs.org/content/conWebDoc/...
The authors identify how business intelligence is crucial to intelligent businesses in order to recognise, analyse, model and make sense of the ever growing amounts of unstructured data that is in existence in order to make critical business decisions. Those with skills in machine learning and data analytics are well placed to take advantage of the careers available in the field of business intelligence. Those looking to gain these skills would do well to use the book as an introduction to the vast area of business intelligence.
The book recognises that a unified approach to business intelligence is required. It therefore examines the full lifecycle of data and focuses on four main areas of business intelligence 1) data modelling and data provisioning 2) data and process visualisation 3) machine learning, data and text mining and data analytic and 4) process analysis, mining and management.
The book is therefore of interest to practitioners, students and businesses. The usage of examples and case studies enable real life application and brings a sophisticated text to life.
Each chapter starts with an abstract and important signposting for the reader. The use of five cases presented throughout the book make the application of the techniques and methods a little easier to read in what could be said to be a technical text. For sure the book does assume a level of knowledge that the average reader may struggle with unless they have prior knowledge of information systems or software engineering. That said the book is a comprehensive and thoroughly well thought out introduction to the subject of business intelligence and the reader will not be left wanting as the clear examples are numerous.
The book begins with a general introduction to the business intelligence process and then goes on to explain the different focuses in the following chapters. Different techniques are explained in subsequent chapters. Chapter 2 discusses the approaches to modelling; chapter 3 provides details of data provisioning and big data.Chapter 4 looks at visualization and reporting, chapter 5, 6 and 7 cover the different techniques for analysis. Each chapter closes with references and further reading which will be of benefit for those looking for more on each topic. Each chapter explains its focus by employing the four use cases presented in the introductory chapter on patient management, higher education, logistics, and customer relationship management.
Finally chapter 9 gives a summary of the book which additionally consolidates a well-planned text book.
Readers interested in the value of data and the concepts behind business intelligence will find the book and its accompanying website highly informative.
Review by Georgette Banham
Originally posted: http://www.bcs.org/content/conWebDoc/...
Displaying 1 - 2 of 2 reviews