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INFORMS Analytics Body of Knowledge
Standardizes the definition and framework of analytics
#2 on Book Authority’s list of the Best New Analytics Books to Read in 2019 (January 2019)
We all want to make a difference. We all want our work to enrich the world. As analytics professionals, we are fortunate - this is our time!
We live in a world of pervasive data and ubiquitous, powerful computation. This convergence has inspired and accelerated the development of both analytic techniques and tools and this potential for analytics to have an impact has been a huge call to action for organizations, universities, and governments.
This title from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics.
Readers with various backgrounds in analytics – from novices to experienced professionals – will benefit from reading about and implementing the concepts and methods covered here.
Peer reviewed chapters provide readers with in-depth insights and a better understanding of the dynamic field of analytics
The INFORMS Analytics Body of Knowledge documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics.
#2 on Book Authority’s list of the Best New Analytics Books to Read in 2019 (January 2019)
We all want to make a difference. We all want our work to enrich the world. As analytics professionals, we are fortunate - this is our time!
We live in a world of pervasive data and ubiquitous, powerful computation. This convergence has inspired and accelerated the development of both analytic techniques and tools and this potential for analytics to have an impact has been a huge call to action for organizations, universities, and governments.
This title from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics.
Readers with various backgrounds in analytics – from novices to experienced professionals – will benefit from reading about and implementing the concepts and methods covered here.
Peer reviewed chapters provide readers with in-depth insights and a better understanding of the dynamic field of analytics
The INFORMS Analytics Body of Knowledge documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics.
378 pages, Kindle Edition
Published September 21, 2018
7 people are currently reading
15 people want to read
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Displaying 1 - 3 of 3 reviews
May 29, 2019
I read this in preparation for the INFORMS CAP exam, and having recently passed the exam, I can attest to its value. The ABOK provides adequate coverage of the facts relating to some of the testable domains (JTAs). I personally think it does a better job at covering the domains following Business and Analytics Problem Framing (specifically: data, methodology, and modelling). It reads as a series of essays so digesting the information isn't as efficient as point form or something specifically tailored to prepare you for the exam (this is my only complaint about the book, but not worth deducting a star as there are few dedicated resources (IMHO) to help one prepare for this certification exam).
If your goal is to pass the exam, then I think this is definitely worth picking up as supplemental material to your study, however, I don't think it is sufficient as sole study material to pass the exam. Probability and statistics (including linear regression) is a strong focus of the exam and preparing for that is best done via a review of a university level introductory probability and statistics course textbook and/or the CAP prep course: https://www.informs.org/Professional-... which I also recommend, having attended. Digressing slightly from this book review, the prep course provides materials and focus on topics most likely to be tested in the exam, making study time and effort more efficient and meaningful (while building confidence for the to-be exam taker). It also includes additional sample questions than what are provided in the CAP Study Guide which is also helpful.
My approach to reading/studying this book, was to highlight any text and bookmark any page containing information I deemed relevant and worth reviewing later. Prior to the exam, I flipped back through the book, reading all highlighted/bookmarked sections and I found this to be very helpful.
Aside from using this as study material for the Certified Analytics Professional (CAP) exam, I would say this provides an intro-intermediate depth survey of the field of analytics. I feel this was written for an audience with a bit of experience/familiarity in the field, so I would probably start with something more introductory/high-level if I were new or curious about the field of analytics. While the book contains some formulas, descriptions of predictive models are kept mostly to writing. (light on formulas or mathematical notation). If you're looking for something which contains in-depth explanations of machine learning algorithms, I would search elsewhere.
If your goal is to pass the exam, then I think this is definitely worth picking up as supplemental material to your study, however, I don't think it is sufficient as sole study material to pass the exam. Probability and statistics (including linear regression) is a strong focus of the exam and preparing for that is best done via a review of a university level introductory probability and statistics course textbook and/or the CAP prep course: https://www.informs.org/Professional-... which I also recommend, having attended. Digressing slightly from this book review, the prep course provides materials and focus on topics most likely to be tested in the exam, making study time and effort more efficient and meaningful (while building confidence for the to-be exam taker). It also includes additional sample questions than what are provided in the CAP Study Guide which is also helpful.
My approach to reading/studying this book, was to highlight any text and bookmark any page containing information I deemed relevant and worth reviewing later. Prior to the exam, I flipped back through the book, reading all highlighted/bookmarked sections and I found this to be very helpful.
Aside from using this as study material for the Certified Analytics Professional (CAP) exam, I would say this provides an intro-intermediate depth survey of the field of analytics. I feel this was written for an audience with a bit of experience/familiarity in the field, so I would probably start with something more introductory/high-level if I were new or curious about the field of analytics. While the book contains some formulas, descriptions of predictive models are kept mostly to writing. (light on formulas or mathematical notation). If you're looking for something which contains in-depth explanations of machine learning algorithms, I would search elsewhere.
April 19, 2021
I’m not going to review a text book.
September 21, 2024
well, I passed the exam
Displaying 1 - 3 of 3 reviews