If you want to know the areas or functions where analytics can be applied, this is the book. Book is divided in two parts, first will give information on the "Where" part of the application of analytics in an organization and second part deals with the "How" to apply it.

An interesting overview on the need for analytics. This is just an overview.Desperately needs an update in light of all the advancement in data science.

This book discuss the importance of Data Analytics in different fields and industries. How people use analytics to compete and win. It is the weapon of the future. I was inspired by this book. I hope to read the new updated version of this book soon.

This book was rather interesting but not as insightful as I expected. I liked the frameworks presented in the first section "The Nature of Analytical Competition" but I agree with the previous comment saying that this book was not very impressive. The research conducted by the authors did not unveil much and I feel like they simply confirmed what we all assumed was true: Analytics is a competitive advantage, it leads to increased ROI, It's not only about IT it's about people... etc. At the end o...

This books still carries much relevance today despite being written over 10 years ago in 2007. Authors Thomas Davenport and Jeanne Harris were on the leading edge of sharing the new standard for business competition in this book. The standard is about competing on data with analytics. This Harvard Business School book is written as expected with a heavy academia structure. It first defines what it means to be analytically driven as a company before providing a framework to assess and help mature...

Very useful for understanding the history and placing an organization in its context in preparation for change. The practical section provides a helpful framework for thinking about developing analytical capacities in an organization. While some translation may be needed to inform my field, institutional research (higher education), I've found it useful.

This book is best suited to business experts who are completely unaccustomed to statistical business intelligence. This niche must be getting rarer every year since the book was published and the book suffers a less than incisive title choice with the word “new”. I do not recommend this book to non-MBAs not because they have expertise but because they lack it.

Lack in depth, the book reads like an undergrad student's essay, just elevated with high-level buzzwords and jargons. Strange for an analytical book, it comes with very little figures to back its arguments up. All it has are ambiguous ones, such as: the company A applied analytical approaches, and its market value increased from X to Y. You can always refute by saying the company B, applying analytical approaches, has its market capitalization falling from $100Bn to $20Bn within n years. The boo...

Not as in-depth as I expected from "Harvard Business School Press" but it did give a basic overview of data analytics. The book covered the differing approaches and levels of analytics in business along with results of some case studies. While the book does give multiple examples of companies doing various styles of analytics, it lacks the details I was hoping for and didn't give much in the way of time it took to see results of the approach. It also doesn't offer any paths or guidance in how to...

Gave me a better picture of how analytics is used in other companies (and how to better convince people that analytics is needed =)), but... Definitely to be skimmed.

Very little actual science. The book is mostly general comments that don't contribute anything original.

I am not impressed with the information in this book. It just provides an overview for analytics. I have to agree that the models I contains are valuable for someone (me) that doesn't work in the domain. However, I could argue that just keeping those and cutting back on useless descriptions would have made for a more concise (thus appealing) read.The audience that I would imagine would be reading this book would be: the people that want to sell analytics to some company.

This is not the kind of book that you read for fun. I read it for work reasons because I've been doing more work related to analytics and how to improve business decisions based on better data. So I found this to be an extremely useful book for what I do at work in helping me to think outside of just statistical methods. The premise is that it takes a lot of different skills: computer science, statistics, business understanding, communication skills to really be able to be an analytical company....

Valuable, structured read for anyone interested in analytics.

Jargon, buzzwords, dated.It isn't clear that the authors actually know any business analytics. They have some surveys, observations, and stories. They explain that companies use data to succeed, but we already know that. There are a few useful tables, but not many. The book doesn't go very deep. It doesn't to analyze data. The book doesn't even discuss which questions to ask. Asking the right questions about data is important and you could do it without using ltos of map. I've even seen people m...

The original edition (2007) is one of the best books on the importance and impact of analytics in driving business results I have on my shelf. As a fan of Davenport's other books and articles, I was excited to read this updated version (2017). It is a high level overview, and most of the examples are new or updated. As expected, it covers a lot of new ground, as the tools, skills, and the world of information has changed significantly in the last decade. The book contains useful models for bench...

The focus in this brief volume is on trends in analytics as well as how and why organizations should improve their analytical capabilities. I would have preferred to see more details and case studies that delve into specific metrics that have helped organizations, rather than the generalities that fill out most of this text. After reading this, you will be convinced that your organization needs to improve its analytical capabilities, but this book will not necessarily give you a detailed road ma...

I gave it 2 stars because 1. It reads horribly. There's so much fluff, LARGE and not useful repetition, and not really that useful advice. It doesn't actually tell you how to build these things even in it's "process to become an analytical competitor.2. There were some useful parts in the beginning, but it's very general. The advice isn't practical in how to actually build the analytical capability.There were some useful parts though (MOSTLY IN THE FIRST CHAPTER). I believe if someone wrote a su...

Bought this book in 2010 when I changed careers. Since I was encouraged to learn about project management at time, that book also landed on my desk - but then I never found time to read it - for a bunch of reasons.Ian challenged me to read a business book a month (Or something like that) this year. So I picked up this book - wish I had read it back in 2010. It really gives me insight into my current employer.First chapter I noticed was mildly outdated but then I was fine with the rest of the boo...

I read this book for a graduate level course but it feels especially outdated and irrelevant now. Perhaps to no fault of the authors. We can take for granted now that organizations will leverage data to gain a competitive advantage but this book spends chapters lauding that notion's virtues. The book was written in 2007 and I thought the compliments it paid to data innovations in the financial sector were especially cringe worthy.