Fundamentals of Business Intelligence

Wilfried Grossman & Stefanie Rinderle-Ma

Published by
Springer
ISBN 978-3-662-46530-1
RRP £44.99
Reviewed by Georgette Banham
Score 9 out of 10

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.

Further information: Springer

August 2016