AI-enabled analytics for business : (Record no. 12836)
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fixed length control field | 05513cam a2200673 i 4500 |
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control field | on1284917898 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240523125543.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 211028s2022 njua ob 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
LC control number | 2021047905 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | DLC |
Language of cataloging | eng |
Description conventions | rda |
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Transcribing agency | DLC |
Modifying agency | OCLCF |
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-- | ORMDA |
-- | DG1 |
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-- | K6U |
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019 ## - | |
-- | 1284918716 |
-- | 1292553535 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119736097 |
Qualifying information | (electronic book) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119736099 |
Qualifying information | (electronic book) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119736102 |
Qualifying information | (electronic book) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119736110 |
Qualifying information | (electronic book) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119736110 |
Qualifying information | (electronic book) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119736103 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781119736080 |
Qualifying information | (hardcover) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 1119736080 |
Qualifying information | (hardcover) |
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
OCLC library identifier | AU@ |
System control number | 000070154837 |
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
OCLC library identifier | AU@ |
System control number | 000070668254 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1284917898 |
Canceled/invalid control number | (OCoLC)1284918716 |
-- | (OCoLC)1292553535 |
037 ## - SOURCE OF ACQUISITION | |
Stock number | 9781119736080 |
Source of stock number/acquisition | O'Reilly Media |
042 ## - AUTHENTICATION CODE | |
Authentication code | pcc |
050 04 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | HF5548.2 |
Item number | .M2593 2022 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 658/.05 |
Edition number | 23/eng/20211101 |
049 ## - LOCAL HOLDINGS (OCLC) | |
Holding library | MAIN |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Maisel, Lawrence, |
Dates associated with a name | 1946- |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | AI-enabled analytics for business : |
Remainder of title | a roadmap for becoming an analytics powerhouse / |
Statement of responsibility, etc. | Lawrence S. Maisel, Robert J. Zwerling, Jesper H. Sorensen. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Hoboken, New Jersey : |
Name of producer, publisher, distributor, manufacturer | John Wiley & Sons, Inc., |
Date of production, publication, distribution, manufacture, or copyright notice | [2022] |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource : |
Other physical details | color illustrations |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes bibliographical references and index. |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Part 1: Fundamentals -- Chapter 1 -- A Primer on AI-Enabled Analytics for Business -- Chapter 2 -- Why AI-Enabled Analytics Is Essential for Business -- Chapter 3 -- Myths and Misconceptions about Analytics -- Chapter 4 -- Applications of AI-Enabled Analytics -- Part 2: Roadmap -- Chapter 5 -- Roadmap for How to Implement AI-Enabled Analytics in Business -- Chapter 6 -- Executive Responsibilities to Implement Analytics -- Chapter 7 -- Implementing Analytics -- Chapter 8 -- The Role of Analytics in Strategic Decisions -- Part 3: Use Cases -- Chapter 9 -- Cases of Analytics Failures from Deviation to the Roadmap -- Chapter 10 -- Use Case: Grabbing Defeat from the Jaws of Victory -- Chapter 11 -- Use Case: Incremental Improvements to Gain Insights -- Chapter 12 -- Use Case: Analytics Are for Everyone. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | "Predictive business analytics refers to the skills, technologies, tools, and processes for continuous analysis of past business performance to gain forward-looking insight and drive business decisions and actions. It focuses on developing new insights and understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as input for human decisions--or it may drive fully automated decisions. We are entering the era of digital analytics where human and artificial intelligence (AI) work hand in hand to achieve better analytical results. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. More and more organizations are seeking better processes and tools to ensure that the right people have the right information at the right time, to make smarter decisions. This process, in essence, reflects an organizational capability to improve managerial decision making across many core performance and financial areas. For years, organizations have sought to develop and deploy an effective process to capture and filter forward-looking measures that enable it to understand significant patterns, relationships, and trends in order to facilitate better and more insightful decisions about the future. This book is intended to promote clarity and ensure that the application of AI-Enabled Predictive Business Analytics is relevant to all business functions"-- |
Assigning source | Provided by publisher |
588 0# - SOURCE OF DESCRIPTION NOTE | |
Source of description note | Online resource; title from digital title page (viewed on February 10, 2022). |
590 ## - LOCAL NOTE (RLIN) | |
Local note | John Wiley and Sons |
Provenance (VM) [OBSOLETE] | Wiley Online Library: Complete oBooks |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Business |
General subdivision | Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence |
General subdivision | Industrial applications. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence |
General subdivision | Marketing applications. |
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Gestion |
General subdivision | Informatique. |
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Intelligence artificielle |
General subdivision | Applications industrielles. |
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Intelligence artificielle |
General subdivision | Applications en marketing. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence |
General subdivision | Industrial applications |
Source of heading or term | fast |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence |
General subdivision | Marketing applications |
Source of heading or term | fast |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Business |
General subdivision | Data processing |
Source of heading or term | fast |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Zwerling, Robert James, |
Relator term | author. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Sorensen, Jesper Hybholt, |
Relator term | author. |
758 ## - RESOURCE IDENTIFIER | |
Relationship information | has work: |
Label | AI-enabled analytics for business (Text) |
Real World Object URI | https://id.oclc.org/worldcat/entity/E39PCGFbT64hgM7dxxXKfQWDpX |
Relationship | https://id.oclc.org/worldcat/ontology/hasWork |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Print version: |
Main entry heading | Maisel, Lawrence, 1946- |
Title | AI-enabled analytics for business. |
Edition | First edition. |
Place, publisher, and date of publication | Hoboken, New Jersey : Wiley, [2022] |
International Standard Book Number | 9781119736080 |
Record control number | (DLC) 2021047904 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119736110">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119736110</a> |
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