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eBook Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! download

by Donald Farmer,Clifford Siegel,Keith B. Carter

eBook Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! download ISBN: 1118915232
Author: Donald Farmer,Clifford Siegel,Keith B. Carter
Publisher: Wiley; 1 edition (September 2, 2014)
Language: English
Pages: 224
ePub: 1841 kb
Fb2: 1221 kb
Rating: 4.3
Other formats: mbr azw rtf lrf
Category: Work and Money
Subcategory: Management and Leadership

Praise for Actionable Intelligence: A Guide to DeliveringBusiness Results . In this book Keith,Donald, and Cliff provide a framework and a roadmap for how todeliver on the often-elusive promise.

Praise for Actionable Intelligence: A Guide to DeliveringBusiness Results with Big Data Fast! As with most new terms, a true definition should beprovided to set the readers understanding in the right place. Keith Carter’s Actionable s Keith’s use of data personally and professionally. He understands that the answer is not just more data, but data thatyou need and can use to make decisions.

Keith B. Carter with contributions from and. Donald Farmer Clifford Siegel. Includes bibliographical references and index.

Keith Carter’s Actionable Intelligence discusses Keith’s use of data personally and professionally. He understands that the answer is not just more data, but data that you need and can use to make decisions. L. Joseph Thomas, Associate Dean for Academic Affairs, Professor of Operations Management, Dean Emeritus, .

Keith Carter's Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! is the comprehensive guide to achieving the dream that business intelligence practitioners have been chasing since the concept itself came into being. Written by an IT visionary with extensive global supply chain experience and insight, this book describes what happens when team members have accurate, reliable, usable, and timely information at their fingertips.

Big data makes big promises, but it cannot deliver without the right recipe of people, processes and technology in place

Big data makes big promises, but it cannot deliver without the right recipe of people, processes and technology in place. It's about choosing the right people, giving them the right tools, and taking a thoughtful-rather than formulaic-approach. Actionable Intelligence provides expert guidance toward envisioning, budgeting, implementing, and delivering real benefits.

Using this book as a guide, you can play a part in making a positive impact on your colleagues by achieving the dream that business intelligence (BI) has promised since the term was first coined way back in 1858. BI tools are the same across industries, whether you are helping a business, government, or nonprofit. BI concepts can also be helpful for individuals who want to make revolutionary change. While they are very different in the end, both BI and actionable intelligence start with a question

Keith Carter's Actionable Intelligence . Hiring Done Right for Big Data with Big Data 145. Training 148. With a focus on leveraging big data, the book provides expert guidance on developing an analytical ecosystem to effectively manage, use the internal and external information to deliver business results.

Actionable Intelligence book. Goodreads helps you keep track of books you want to read. Start by marking Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! as Want to Read: Want to Read savin. ant to Read.

Actionable Intelligence. Actionable intelligence : a guide to delivering business results with big data fast!, Keith B. Carter with contributions from Donald Farmer and Clifford Siegel. A Guide to Delivering Business Results with Big. Data Fast! Keith B. Carter. and. Clifford Siegel. Cover image:Wiley Cover design:Wiley.

Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! .

Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! Contents.

Building an analysis ecosystem for a smarter approach tointelligence

Keith Carter's Actionable Intelligence: A Guide to DeliveringBusiness Results with Big Data Fast! is the comprehensive guideto achieving the dream that business intelligence practitionershave been chasing since the concept itself came into being. Writtenby an IT visionary with extensive global supply chain experienceand insight, this book describes what happens when team membershave accurate, reliable, usable, and timely information at theirfingertips. With a focus on leveraging big data, the book providesexpert guidance on developing an analytical ecosystem toeffectively manage, use the internal and external information todeliver business results.

This book is written by an author who's been in the trenches forpeople who are in the trenches. It's for practitioners in the realworld, who know delivering results is easier said than done –fraught with failure, and difficult politics. A landscape wherereason and passion are needed to make a real difference.

This book lays out the appropriate way to establish a culture offact-based decision making, innovation, forward lookingmeasurements, and appropriate high-speed governance. Readers willenable their organization to:

Answer strategic questions fasterReduce data acquisition time and increase analysis time toimprove outcomesShift the focus to positive results rather than pastfailuresExpand opportunities by more effectively and thoughtfullyleveraging information

Big data makes big promises, but it cannot deliver without theright recipe of people, processes and technology in place. It'sabout choosing the right people, giving them the right tools, andtaking a thoughtful—rather than formulaic--approach.Actionable Intelligence provides expert guidance towardenvisioning, budgeting, implementing, and delivering realbenefits.

Comments: (7)
Kuve
inspiring...
Kizshura
Great book! Excellent insights!
Unnis
Very poorly produced book. Extremely disappointed.
Sirara
Big data. Many of us have heard of it, but what is it? "Actionable Intelligence" makes the whole concept of collecting, analyzing and acting on all the data available to us easily understandable and accessible. This is one of those topics I really want to know more about, but didn't know where to start. Some of the things I like about this book are:

It's short. At under 200 pages, this is not the definitive tome on big data, but it doesn't try to be. It serves as a good introduction to help you understand the fundamentals so you can start thinking about how to learn more and start using your new found knowledge.

It's comprehensive. While being short, it still covers all of the necessary bases by explaining the life cycle of data through a thorough narrative: discovery, creating a foundation, visualization, coming up with conclusions, incorporating them into planning, considering data quality and security, sustaining your process and tying it all together. Each chapter is self-contained with a formula of introduction, explanation, summary and questions for consideration. It takes the concept and tells its whole story arc.

It's approachable. The writing style is neither technical nor pedestrian, but rather colloquial for the business professional who doesn't live, breath, and eat data, but knows enough to be spoken to like an adult. "For Dummies" its not. The author also uses a blend of detailed explanation, storytelling, metaphor, statistics, etc. to deliver the information which keeps it from being dull while not being trite.

It has the right focus. None of this conceptual stuff is of any value unless you use it, and the title says it all. You're not collecting data for data's sake. That's trivia you can leave to Cliff Claven. For data to have value, it needs to be good quality and you have to take action on your key insights, otherwise it has little value.

If you've been wondering what the hubbub about big data and analytics is but don't know where to start, start with reading "Actionable Intelligence".
Butius
Actionable Intelligence is a dynamic read with great examples of how to use data (big or otherwise). It's not for learning how to do it, but more around the process thinking - what can be gained, and fundamental approaches for data use. Data don't come ready to use, but require some work to get into shape - that step is not missed here, which is important for non-data processors to understand, as it can be a time consuming process. There are some great frameworks to follow around planning for data use, how to use data to evaluate, and the cycle of data.

Most of the book talks in generalities, rather than specific programs (use this tool or that software), although there are a few exceptions to that process. This reader would've appreciated some more information about why those particular tools were so helpful or essential. In general, though, it makes for a more robust book, because it covers a wider range of concepts than most specific data storing, processing, or visualization tools are able to provide as a single entity.

This book will give new ideas on ways to take data to action. Highly recommend.
Kabandis
I do (and teach) data analysis in the medical domain and I really like this book. I don't like it because it has good technical information on big data. That is essentially missing. Rather this book offers good advice on working with all forms of data (small or big or whatever is bigger than big). Fundamental advice is clearly explained with examples and memorable anecdotes. Much of the material should be obvious, like start with a goal in mind or do the things that matter or work on the problems that can be solved in time, but often people loose sight of these fundamental truths when they get swept up in the "data revolution" or now with "big data".

While this book is geared toward mid- to upper-management, I would highly recommend it for my audience, young biomedical researchers, who have problems they need to solve and they don't have experience pulling data from a large source (like an electronic medical record). This book gives good advice on how to frame data questions and it has good guidance which will keep managers or researchers from getting into trouble by tackling impossible or ever growing problems.
Iell
This book is not about techniques for analyzing data, rather, it is how to function effectively as a data analyst in order to produce information that makes a difference, in the context of a business. It demonstrates how having useful intelligence, in a timely manner, can make a business operate more effectively. Written by someone with lots of experience in that area, it seems a very useful read for anyone who is working with data in a multi-person business.

It has lots of step-by-step lists and assessment questions, as well as clearly defined stages for building up a useful data infrastructure. Much of it deals with the pragmatics of working among various sections of a business, and how to position data gathering, analysis, and results, to interact with other parts of the organizational structure, illustrated by many anecdotes. It is very readable and instructive, but doesn't spell out every single detail of advice, so requires an attentive reader who can run with the advice it provides.

I realize that the field of data analysis tools is constantly changing so it can be futile for a printed book to include specific descriptions and product recommendations. However, it mentions various tools in passing, especially QlinkView as opposed to SAP, but it never clearly discussed what was specifically useful, or not useful, about those tools. It would have been useful to talk about principles of attributes to look for in data analysis and visualization packages, and why one approach is better than another.