Big data MBA : (Record no. 12314)
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| 000 -LEADER | |
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| fixed length control field | 08825cam a2200661Ma 4500 |
| 001 - CONTROL NUMBER | |
| control field | ocn933443004 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240523125539.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151225t20152016inu o 001 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IDEBK |
| Language of cataloging | eng |
| Description conventions | pn |
| Transcribing agency | IDEBK |
| Modifying agency | DG1 |
| -- | OCLCF |
| -- | OCLCQ |
| -- | DEBBG |
| -- | OCLCQ |
| -- | MERUC |
| -- | DG1 |
| -- | LIP |
| -- | OCLCQ |
| -- | U3W |
| -- | OCLCQ |
| -- | AU@ |
| -- | OCLCQ |
| -- | OCLCO |
| -- | OCLCQ |
| -- | OCLCO |
| -- | OCLCL |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119238846 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119238843 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119238881 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119238889 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1119181119 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1119181380 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000061151059 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000062461365 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | CHNEW |
| System control number | 000945052 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | CHVBK |
| System control number | 480252912 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBBG |
| System control number | BV043738237 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBSZ |
| System control number | 485064480 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | GBVCP |
| System control number | 856575704 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)933443004 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 881790 |
| Source of stock number/acquisition | MIL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | H62 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 001.4/2 |
| Edition number | 23 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Schmarzo, Bill. |
| 245 10 - TITLE STATEMENT | |
| Title | Big data MBA : |
| Remainder of title | driving business strategies with data sciences / |
| Statement of responsibility, etc. | Bill Schmarzo. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Indianapolis, IN : |
| Name of publisher, distributor, etc. | Wiley, |
| Date of publication, distribution, etc. | 2015, �2016. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource |
| 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 |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Print version record. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Title Page -- Copyright -- Contents -- Part I Business Potential of Big Data -- Chapter 1 The Big Data Business Mandate -- Big Data MBA Introduction -- Focus Big Data on Driving Competitive Differentiation -- Leveraging Technology to Power Competitive Differentiation -- History Lesson on Economic-Driven Business Transformation -- Critical Importance of "Thinking Differently" -- Don't Think Big Data Technology, Think Business Transformation -- Don't Think Business Intelligence, Think Data Science -- Don't Think Data Warehouse, Think Data Lake -- Don't Think "What Happened," Think "What Will Happen" -- Don't Think HIPPO, Think Collaboration -- Summary -- Homework Assignment -- Chapter 2 Big Data Business Model Maturity Index -- Introducing the Big Data Business Model Maturity Index -- Phase 1: Business Monitoring -- Phase 2: Business Insights -- Phase 3: Business Optimization -- Phase 4: Data Monetization -- Phase 5: Business Metamorphosis -- Big Data Business Model Maturity Index Lessons Learned -- Lesson 1: Focus Initial Big Data Efforts Internally -- Lesson 2: Leverage Insights to Create New Monetization Opportunities -- Lesson 3: Preparing for Organizational Transformation -- Summary -- Homework Assignment -- Chapter 3 The Big Data Strategy Document -- Establishing Common Business Terminology -- Introducing the Big Data Strategy Document -- Identifying the Organization's Key Business Initiatives -- What's Important to Chipotle? -- Identify Key Business Entities and Key Decisions -- Identify Financial Drivers (Use Cases) -- Identify and Prioritize Data Sources -- Introducing the Prioritization Matrix -- Using the Big Data Strategy Document to Win the World Series -- Summary -- Homework Assignment -- Chapter 4 The Importance of the User Experience -- The Unintelligent User Experience -- Capture the Key Decisions. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Support the User Decisions -- Consumer Case Study: Improve Customer Engagement -- Business Case Study: Enable Frontline Employees -- Store Manager Dashboard -- Sample Use Case: Competitive Analysis -- Additional Use Cases -- B2B Case Study: Make the Channel More Effective -- The Advisors Are Your Partners-Make Them Successful -- Financial Advisor Case Study -- Informational Sections of Financial Advisor Dashboard -- Recommendations Section of Financial Advisor Dashboard -- Summary -- Homework Assignment -- Part II Data Science -- Chapter 5 Differences Between Business Intelligence and Data Science -- What Is Data Science? -- BI Versus Data Science: The Questions Are Different -- BI Questions -- Data Science Questions -- The Analyst Characteristics Are Different -- The Analytic Approaches Are Different -- Business Intelligence Analyst Engagement Process -- The Data Scientist Engagement Process -- The Data Models Are Different -- Data Modeling for BI -- Data Modeling for Data Science -- The View of the Business Is Different -- Summary -- Homework Assignment -- Chapter 6 Data Science 101 -- Data Science Case Study Setup -- Fundamental Exploratory Analytics -- Trend Analysis -- Boxplots -- Geographical (Spatial) Analysis -- Pairs Plot -- Time Series Decomposition -- Analytic Algorithms and Models -- Cluster Analysis -- Normal Curve Equivalent (NCE) Analysis -- Association Analysis -- Graph Analysis -- Text Mining -- Sentiment Analysis -- Traverse Pattern Analysis -- Decision Tree Classifier Analysis -- Cohorts Analysis -- Summary -- Homework Assignment -- Chapter 7 The Data Lake -- Introduction to the Data Lake -- Characteristics of a Business-Ready Data Lake -- Using the Data Lake to Cross the Analytics Chasm -- Modernize Your Data and Analytics Environment -- Action #1: Create a Hadoop-Based Data Lake -- Action #2: Introduce the Analytics Sandbox. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Action #3: Off-Load ETL Processes from Data Warehouses -- Analytics Hub and Spoke Analytics Architecture -- Early Learnings -- Lesson #1: The Name Is Not Important -- Lesson #2: It's Data Lake, Not Data Lakes -- Lesson #3: Data Governance Is a Life Cycle, Not a Project -- Lesson #4: Data Lake Sits Before Your Data Warehouse, Not After It -- What Does the Future Hold? -- Summary -- Homework Assignment -- Part III Data Science for Business Stakeholders -- Chapter 8 Thinking Like a Data Scientist -- The Process of Thinking Like a Data Scientist -- Step 1: Identify Key Business Initiative -- Step 2: Develop Business Stakeholder Personas -- Step 3: Identify Strategic Nouns -- Step 4: Capture Business Decisions -- Step 5: Brainstorm Business Questions -- Step 8: Putting Analytics into Action -- Summary -- Homework Assignment -- Chapter 9 "By" Analysis Technique -- "By" Analysis Introduction -- "By" Analysis Exercise -- Foot Locker Use Case "By" Analysis -- Summary -- Homework Assignment -- Chapter 10 Score Development Technique -- Definition of a Score -- FICO Score Example -- Other Industry Score Examples -- LeBron James Exercise Continued -- Foot Locker Example Continued -- Summary -- Homework Assignment -- Chapter 11 Monetization Exercise -- Fitness Tracker Monetization Example -- Step 1: Understand Product Usage -- Step 2: Develop Stakeholder Personas -- Step 3: Brainstorm Potential Recommendations -- Step 4: Identify Supporting Data Sources -- Step 5: Prioritize Monetization Opportunities -- Step 6: Develop Monetization Plan -- Summary -- Homework Assignment -- Chapter 12 Metamorphosis Exercise -- Business Metamorphosis Review -- Business Metamorphosis Exercise -- Articulate the Business Metamorphosis Vision -- Understand Your Customers -- Articulate Value Propositions -- Define Data and Analytic Requirements -- Business Metamorphosis in Health Care. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Homework Assignment -- Part IV Building Cross-Organizational Support -- Chapter 13 Power of Envisioning -- Envisioning: Fueling Creative Thinking -- Big Data Vision Workshop Process -- Pre-engagement Research -- Business Stakeholder Interviews -- Explore with Data Science -- Workshop -- Setting Up the Workshop -- The Prioritization Matrix -- Summary -- Homework Assignment -- Chapter 14 Organizational Ramifications -- Chief Data Monetization Officer -- CDMO Responsibilities -- CDMO Organization -- Analytics Center of Excellence -- CDMO Leadership -- Privacy, Trust, and Decision Governance -- Privacy Issues = Trust Issues -- Decision Governance -- Unleashing Organizational Creativity -- Summary -- Homework Assignment -- Chapter 15 Stories -- Customer and Employee Analytics -- Product and Device Analytics -- Network and Operational Analytics -- Characteristics of a Good Business Story -- Summary -- Homework Assignment -- Index -- EULA. |
| 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 | Quantitative research. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Management information systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Recherche quantitative. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Syst�emes d'information de gestion. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Donn�ees volumineuses. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data |
| Source of heading or term | fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Management information systems |
| Source of heading or term | fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Quantitative research |
| Source of heading or term | fast |
| 758 ## - RESOURCE IDENTIFIER | |
| Relationship information | has work: |
| Label | Big data MBA (Text) |
| Real World Object URI | https://id.oclc.org/worldcat/entity/E39PCFYDVhRCrpqCJmfTDTrrMP |
| Relationship | https://id.oclc.org/worldcat/ontology/hasWork |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119238881">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119238881</a> |
| 938 ## - | |
| -- | ProQuest MyiLibrary Digital eBook Collection |
| -- | IDEB |
| -- | cis33418058 |
| 994 ## - | |
| -- | 92 |
| -- | INLUM |
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