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Applied Business Analytics : intégration des processus métier, du Big Data et...

by Lin, Nathaniel | HC | VeryGood
157,77 $US
Environ214,18 $C
État :
Très bon
May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ... En savoir plussur l'état
Expédition :
Sans frais Economy Shipping.
Lieu : Aurora, Illinois, États-Unis
Livraison :
Livraison prévue entre le mer. 25 sept. et le sam. 28 sept. à 43230
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Numéro de l'objet eBay :145481699291
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Caractéristiques de l'objet

État
Très bon
Un livre qui n’a pas l’air neuf et qui a été lu, mais qui est en excellent état. La couverture ne présente aucun dommage apparent et la jaquette (si applicable) est incluse (dans le cas des livres à reliure). Il n'y a aucune page manquante ou endommagée, aucun pli, aucune déchirure, aucun passage surligné ou souligné et aucune inscription en marge. Il est possible que le contreplat porte d'infimes marques d'identification. Le livre présente des traces d'usure infimes. Afficher toutes les définitions d'état(s'ouvre dans une nouvelle fenêtre ou un nouvel onglet)
Remarques du vendeur
“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, Science, Business & Economics
Publication Name
Applied Business Analytics : Integrating Business Process, Big Data, and Advanced Analytics
Publisher
Pearson Education
Item Length
9.3 in
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 Weight
19.8 Oz
Item Width
6.5 in
Number of Pages
320 Pages

À propos de ce produit

Product Identifiers

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

Product Key Features

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

Dimensions

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

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2014-952168
Synopsis
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., Now that you've collected the data and crunched the numbers, what do you do with all this information? How do you take the fruit of your analytics labor and apply it to business decision making? How do you actually apply the information gleaned from quants and tech teams? Applied Business Analytics will help you find optimal answers to these questions, and bridge the gap between analytics and execution in your organization. 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 learn 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 who 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 every level: 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, 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.
LC Classification Number
MLCM 2018/45778 (Q)

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