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Applied Business Analytics: Integrating Business Process, Big Data, and...

by Lin, Nathaniel | HC | VeryGood
Condition:
Very Good
May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ... Read moreabout condition
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Item specifics

Condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
Seller Notes
“May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ...
Binding
Hardcover
Weight
1 lbs
Product Group
Book
IsTextBook
No
ISBN
9780133481501
Subject Area
Computers, Business & Economics, Science
Publication Name
Applied Business Analytics : Integrating Business Process, Big Data, and Advanced Analytics
Item Length
9.3 in
Publisher
Pearson Education
Subject
Software Development & Engineering / General, Industrial Management, Chemistry / Analytic, General, Strategic Planning
Publication Year
2014
Series
Ft Press Analytics Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.9 in
Author
Nathaniel Lin
Item Width
6.5 in
Item Weight
19.8 Oz
Number of Pages
320 Pages

About this product

Product Information

Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You'll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics... how to become one of those deciders... and how to identify, foster, support, empower, and reward others to join you. Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes: How analytical and conventional decision making differ -- and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.

Product Identifiers

Publisher
Pearson Education
ISBN-10
0133481506
ISBN-13
9780133481501
eBay Product ID (ePID)
177466332

Product Key Features

Author
Nathaniel Lin
Publication Name
Applied Business Analytics : Integrating Business Process, Big Data, and Advanced Analytics
Format
Hardcover
Language
English
Subject
Software Development & Engineering / General, Industrial Management, Chemistry / Analytic, General, Strategic Planning
Publication Year
2014
Series
Ft Press Analytics Ser.
Type
Textbook
Subject Area
Computers, Business & Economics, Science
Number of Pages
320 Pages

Dimensions

Item Length
9.3 in
Item Height
0.9 in
Item Width
6.5 in
Item Weight
19.8 Oz

Additional Product Features

LCCN
2014-952168
Lc Classification Number
Mlcm 2018/45778 (Q)
Copyright Date
2015
Target Audience
Scholarly & Professional

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