Randy Bartlett - A Practitioner’s Guide to Business Analytics
Here you can read online Randy Bartlett - A Practitioner’s Guide to Business Analytics full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. publisher: McGraw-Hill, genre: Business. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:
Romance novel
Science fiction
Adventure
Detective
Science
History
Home and family
Prose
Art
Politics
Computer
Non-fiction
Religion
Business
Children
Humor
Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.
- Book:A Practitioner’s Guide to Business Analytics
- Author:
- Publisher:McGraw-Hill
- Genre:
- Rating:5 / 5
- Favourites:Add to favourites
- Your mark:
- 100
- 1
- 2
- 3
- 4
- 5
A Practitioner’s Guide to Business Analytics: summary, description and annotation
We offer to read an annotation, description, summary or preface (depends on what the author of the book "A Practitioner’s Guide to Business Analytics" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.
A Practitioner’s Guide to Business Analytics — read online for free the complete book (whole text) full work
Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "A Practitioner’s Guide to Business Analytics" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.
Font size:
Interval:
Bookmark:
Copyright 2013 by Randy Bartlett. All rights reserved. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher.
ISBN 978-0-07-180760-9
MHID 0-07-180760-8
The material in this eBook also appears in the print version of this title: ISBN 978-0-07-180759-3, MHID 0-07-180759-4
All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps.
McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales promotions, or for use in corporate training programs. To contact a representative please e-mail us at .
TERMS OF USE
This is a copyrighted work and The McGraw-Hill Companies, Inc. (McGraw-Hill) and its licensors reserve all rights in and to the work. Use of this work is subject to these terms. Except as permitted under the Copyright Act of 1976 and the right to store and retrieve one copy of the work, you may not decompile, disassemble, reverse engineer, reproduce, modify, create derivative works based upon, transmit, distribute, disseminate, sell, publish or sublicense the work or any part of it without McGraw-Hills prior consent. You may use the work for your own noncommercial and personal use; any other use of the work is strictly prohibited. Your right to use the work may be terminated if you fail to comply with these terms.
THE WORK IS PROVIDED AS IS. McGRAW-HILL AND ITS LICENSORS MAKE NO GUARANTEES OR WARRANTIES AS TO THE ACCURACY, ADEQUACY OR COMPLETENESS OF OR RESULTS TO BE OBTAINED FROM USING THE WORK, INCLUDING ANY INFORMATION THAT CAN BE ACCESSED THROUGH THE WORK VIA HYPERLINK OR OTHERWISE, AND EXPRESSLY DISCLAIM ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. McGraw-Hill and its licensors do not warrant or guarantee that the functions contained in the work will meet your requirements or that its operation will be uninterrupted or error free. Neither McGraw-Hill nor its licensors shall be liable to you or anyone else for any inaccuracy, error or omission, regardless of cause, in the work or for any damages resulting therefrom. McGraw-Hill has no responsibility for the content of any information accessed through the work. Under no circumstances shall McGraw-Hill and/or its licensors be liable for any indirect, incidental, special, punitive, consequential or similar damages that result from the use of or inability to use the work, even if any of them has been advised of the possibility of such damages. This limitation of liability shall apply to any claim or cause whatsoever whether such claim or cause arises in contract, tort or otherwise.
Dedicated to Wei Cynthia Huang BartlettWife
&
Patricia Patty Rita Stalzer BartlettMother
(19442005)
Contents
Big Data
Information Technology and Business Analytics
The Need for a Business Analytics Strategy
The Complete Business Analytics Team
Bad News and Good News
PART I The Strategic LandscapeChapters 1 to 6
PART II Statistical QDR: Three Pillars for Best Statistical PracticeChapters 7 to 9
PART III Data CSM: Three Building Blocks for Supporting AnalyticsChapters 10 to 12
Notes
Leadership and Analytics
Specialization
Delegating Decisions
Incentives
The Financial Meltdown of 20072008: Failures in Analytics
Fannie Mae: Next to the Bomb Blast
The Great Pharmaceutical Sales-Force Arms Race by Tom T.J. Scott
Inside the Statistical UndergroundAdjustment Factors for the Pharmaceutical Arms Race by Brian Wynne
Proving GroundsModel Review at The Associates/Citigroup
Predicting Fraud in Accounting: What Analytics-Based Accounting Has Brought to Bare by Hakan Gogtas, Ph.D.
Notes
Combining Industry Knowledge and Business Analytics
Critical Thinking
Act I: Framing the Business Problem
Act II: Executing the Data Analysis
Act III: Interpreting the Results
Act IV: Making Analytics-Based Decisions
Consequences (of Tragedy)
Act V: Reviewing and Preparing for Future Decisions
Plague: Information and Disinformation Overload
Pitfall: Overanalysis
Pitfall: Oversimplification
Syndrome: Deterministic Thinking
Syndrome: Overdependence on Industry Knowledge
Pitfall: Tunnel Thinking
Syndrome: Overconfident Fool Syndrome
Pitfall: Unpiloted Big Bang Launches
Notes
Left BrainRight Brain Cultural ClashEnter the Scientific Method
Denying the Serendipity of Statistics
Denying the SourcePlagiarism
Catalysts and Change
Two-Trick Pony
Cultural Imbalance
The Gemini Myths
Notes
Business QuantsDenizens of the Deep
Analytics Power Users
Business Analysts
Knowledge Workers
Integration Synergies
Technical Connectivity
Specialization
Teamwork
Technical Compatibility
Leadership and Management Skills
Business Savvy
Communication Skills
Training and Experience
On-Topic Leadership by Charlotte Sibley
Expert Leaders (ELs)Corporate Trump Cards
The Blood-Brain Barrier
Advantages of On-Topic Business Analytics Leaders
Management Types by David Young
Outsourcing Analytics
Dispersed or Local Groups
Central or Enterprise-Wide Groups
Hybrid: Outside + Local + Enterprise-Wide
Notes
Approach for Identifying Gaps in Analytics
Strategy
Protecting Intellectual Property
Process Mapping of Analytics Needs
Innovation: Identifying New Killer Apps
Scrutinizing the Inventory
Assigning Rigor and Deducing Resources
Leading and Organizing
Progress in Acculturating Analytics
Evaluating Decision-Making Capabilities
Evaluating Technical Coverage
Executing Best Statistical Practice
Constructing Effective Building Blocks
Business Analytics Maturity Model
Emphasis on Speed
Continual Improvement
Accelerating the OffenseFor Those Who Are Struggling
Notes
Blind Mans Russian Roulette Bluff
Leadership
Communication
Leadership and Communication Training
Statistical Mythodologies
The Benefits of Training
Academic Training
Post-Academic TrainingBest Statistical Practice
Training Through Review
The PSTAT (ASA) (Professional Statistician) ASAs New Accreditation by Ronald L. Wasserstein, Ph.D.
Professionalism
Notes
The Model Overfitting Problem
External Numbers
Juxtaposing Results
Data Splitting (Cross-Validation)
Resampling Techniques with Replacement
Standard Errors for Model-Based Group Differences: Bootstrapping to the Rescue by James W. Hardin, Ph.D.
Simulation/Stress Testing
Tools for Performance Measurement
Tests for Statistical Assumptions
Next pageFont size:
Interval:
Bookmark:
Similar books «A Practitioner’s Guide to Business Analytics»
Look at similar books to A Practitioner’s Guide to Business Analytics. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.
Discussion, reviews of the book A Practitioner’s Guide to Business Analytics and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.