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Books on analytics tools are rarely found in the market. This concise book is great for managers and those interested in this field to better understand how analytics tools can be applied in businesses. The author also briefly touches on Big Data which is a fundamental background for understanding current situation of analytics. Data types and format are also mentioned. This book is divided into seven major parts ranging from fundamental to some particular analytical techniques being used in businesses. The book provides analytics tools which cover Bare analytics, Analytics input tools/data collection methods, Financial analytics, Market analytics, Customer analytics, Employee analytics and Operational analytics. The author uses concise “Questions” and “Answer” to explain the meaning of each tool. Practical examples are also included. You will also find helpful information in Tip and Trap provided in every chapter of the book. Operational analytics described in part seven is an interesting topic where it can be used for analyzing huge data and get the result in almost real time. Conducting an analytics task is a challenge. It requires great effort, understanding, skilled employees, leadership and the right tools. It is inevitable that sooner or later more and more companies will realize that analytics is an important tool to unlock valuable hidden patterns from their recorded data and will also be embedded in company’s daily job functions. This book can help you to use an appropriate tool for analyzing valuable data for your business. To read this book, you can pick up a topic you are interested in or read it through. This book is a business book. Therefore, no technical details on analytics or technical jargons are provided. In my view, it would be helpful for readers if the author could briefly provide commercial software tools and open source analytics programming languages in the book.
Nice intro in sentiment and text analytics but overall simplistic views in many points and far-fetched use of the term analytics. Also, some points are blatantly wrong and very bad practice, for example, what is the point of measuring the time developers spend programming and using that as a KPI in 'performance analytics'? It is as inefficient a metric as it can get. A data scientist, a developer or any other coder can spend 80% of the time reading and solving on paper before actually coding something, how is that less efficient than just writing comments in the screen? The book should have contained 1/3 of the chapters, be more concentrated and cost 1/3 of the price. Analytics is a fantastic new world in the business, but it's not panacea and we can't label everything analytics.
A good concise book providing an overview of business analytics. A little light in places only giving a brief explanation and then saying there are resources/software available but providing full details. Certainly worth the money for initial insight into a fascinating topic.
A bullet point of ideas about problems inside a company and how to go deeper in case of need. Obviously, as the author anticipates, no technical explanation of techniques, but links and references, if you need to deepen. The title says what will be inside the book and no bad surprizes, but inspiring ideas.