| 000 -LEADER |
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| fixed length control field |
03721cam a22003492 4500 |
| 001 - CONTROL NUMBER |
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| control field |
1743285302 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20220204142233.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr uuu---uuuuu |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781800561410 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(DE-627)1743285302 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(DE-599)KEP060762187 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(OCoLC)1227410043 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(ORHE)9781800561410 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(EBP)060762187 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DE-627 |
| Language of cataloging |
ger |
| Transcribing agency |
DE-627 |
| Description conventions |
rakwb |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.4038 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Schmarzo, Bill |
| Relator term |
VerfasserIn |
| Relator code |
aut |
| 9 (RLIN) |
29681 |
| 245 14 - TITLE STATEMENT |
|---|
| Title |
The Economics of Data, Analytics, and Digital Transformation |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st edition |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Birmingham : |
| Name of publisher, distributor, etc |
Packt publishing Ltd. , |
| Date of publication, distribution, etc |
2020 . |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
252 p. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Online resource; Title from title page (viewed November 30, 2020) |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton , about the book: Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon. What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered a... |
| 538 ## - SYSTEM DETAILS NOTE |
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| System details note |
Mode of access: World Wide Web. |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Electronic books ; local |
| General subdivision |
COMPUTERS / Data Processing |
| -- |
Information Management |
| -- |
Computing & Internet Databases |
| 9 (RLIN) |
29682 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Electronic books |
| 9 (RLIN) |
25227 |
| 951 ## - EQUIVALENCE OR CROSS-REFERENCE-GEOGRAPHIC NAME/AREA NAME [OBSOLETE] [CAN/MARC only] |
|---|
| Geographic name |
BO |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Safari, an O’Reilly Media Company. |
| Relator term |
MitwirkendeR |
| Relator code |
ctb |
| 9 (RLIN) |
29683 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://learning.oreilly.com/library/view/-/9781800561410/?ar |
| Contact for access assistance |
X:ORHE |
| Public note |
lizenzpflichtig |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Non Fiction |