β Scribed by Stephen H. Kaisler, Frank Armour, J. Alberto Espinosa
No coin nor oath required. For personal study only.
This volume will assist readers in fitting big data analysis into their service-based organizations.
Volume I of this two-volume series focuses on the role of big data in service delivery systems. It discusses the definition and orientation to big data, applications of it in service delivery systems, how to obtain results that can affect/enhance service delivery, and how to build an effective big data organization.
This volume will assist readers in fitting big data analysis into their service-based organizations. It will also help readers understand how to improve the use of big data to enhance their service-oriented organizations.
Cover
Obtaining Value from Big Data for Service Systems, Volume I: Big Data Management
Dedication
Contents
Purpose
Acknowledgments
List of Acronyms
Chapter 1: Introduction
Defining Big Data
Getting Started with Big Data
Adding Value to Organizations
Outline of This Book
Chapter 2: Applications of Big Data to Service Delivery
Defining Services
Service Systems
Big Data in Service Delivery
A Service Delivery Model
Supporting Service Delivery with Big Data
Data-Driven Companies
Retail Analytics
Health Care
Fraud Detection
Mass Transit
Chapter 3: Analyzing Big Data for Successful Results
Big Data Usage
Big Data Analytics
Big Data Analytics Initiatives Need a Process
The Analytics Cycle
Analytic Modeling Methods and Approaches
Quantitative Analysis
Qualitative Analysis
Emerging Analytics Application Areas
Sentiment Analysis
Geospatial Analytics
Unstructured Text Processing
Image, Video, and Audio Processing
Edge and Location-Specific Analytics
Network Analytics
Cognitive Analytics
Key Challenges for Analytics
Analytical Resource and Tool Survey
Commercial Packages
Open Source Packages
Chapter 4: Building an Effective Big Data Organization
Organizational Design and Practices
Enterprise, Domain, and Application Architecture
Business Architecture for Analytics
Business Architecture (BA) Aligns Analytics Initiatives and Business Outcomes
Analytics Body of Knowledge Focus
Governanc
Big Data Analytics Culture
Big Data Analytics Maturity
People
Chief Data Officer/Chief Information Officer
Chief Knowledge Officer
Chief Analytic Officer
Chief Portfolio Integration Manager
Analytically Informed Business Managers
Data Analyst
Data Scientist
Big Data TechnologistβInfrastructure and Tools
Talent Identification and AcquisitionβStaffing the Analytics Operation
Hiring Trained Staff
Communication, Organizational Skills, and Knowledge
In-House Training
College and University Education Programs
Commercial Education Opportunities
Outsourcing the Big Data Analytics Function
Big Data Analytics Teamwork
Distributed AnalyticsβAnalytics within the Business Unit
Centralized Analytics Group
Analytics Group within the IT Department
Distributed Analytics Groups within the IT and Business Units
APPENDIX: Methods-Based Analytics Taxonomy
References
Further Reading
Glossary
About the Contributors
Index
Ad Page
Back Cover
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