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Applied Business Analytics: Integrating Business Process, Big Data, and...
by Lin, Nathaniel | HC | VeryGood
USD157,77
Aproximadamente141,59 EUR
Estado:
“May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ”... Más informaciónacerca del estado
En muy buen estado
Libro que se ha leído y que no tiene un aspecto nuevo, pero que está en un estado excelente. No hay desperfectos visibles en la tapa y se incluye sobrecubierta, si procede, para las tapas duras. Todas las páginas están en perfecto estado, sin arrugas ni roturas y no falta ninguna. El texto no está subrayado ni resaltado de forma alguna, y no hay anotaciones en los márgenes. Puede presentar marcas de identificación mínimas en la contraportada o las guardas. Muy poco usado. Consulta el anuncio del vendedor para obtener más información y la descripción de cualquier posible imperfección.
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N.º de artículo de eBay:145481699291
Última actualización el 08 jun 2024 01:25:39 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- En muy buen estado
- Notas del vendedor
- 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
- Item Weight
- 19.8 Oz
- Item Width
- 6.5 in
- Number of Pages
- 320 Pages
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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
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)
Descripción del artículo del vendedor
Información de vendedor profesional
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