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Business intelligence and big data : drivers of organizational success / by Celina M. Olszak.
- Format:
- Book
- Author/Creator:
- Olszak, Celina M., author.
- Language:
- English
- Subjects (All):
- Business intelligence.
- Physical Description:
- 1 online resource (195 pages) : illustrations
- Edition:
- 1st ed.
- Place of Publication:
- Boca Raton, Florida ; London ; New York : CRC Press, 2021.
- Summary:
- The book provides a theoretically and empirically grounded discussion how to design and use business intelligence (BI) and Big Data (BD) to benefit organizations. It examines the conceptualization of BI and BD, applications of BI and BD, BI and BD maturity, and factors of BI- and BD-based success, as well as presents an application framework.
- Contents:
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Contents
- About the Author
- Preface
- 1. Changing Business Environments and Decision Support Systems
- Changing Business Environments
- Growing Information Flows
- New Organizational Structures and a New Distribution of Decision-Making Powers
- New Professions and Fields of Employment
- Customers
- Competition
- Stakeholders
- New Conflicts and Threats
- Resource-based View
- Information and Knowledge - Organization's Strategic Resources
- Knowledge Management
- Creative Employees and Creative Organizations
- Information Communication Technology (ICT) as a Driver of Change and Innovation
- Information Communication Technology (ICT) in Business Value Creation
- Computer Decision Support Systems
- Designing Decision Support Systems
- References
- 2. Business Intelligence in Management of Organizations
- The Essence of Business Intelligence
- Business Intelligence Generations
- Architecture of Business Intelligence Systems
- Data Warehouse
- Extraction-Transformation-Load
- Online Analytical Processing
- Data Extraction
- Visualization and Dashboards
- Models of Business Intelligence Systems
- Data Marts
- BI-Predictive Analysis
- Business Activity Monitoring
- Real-Time BI
- Corporate BI
- BI Portals
- BI Networks
- BI-Business Performance Management
- Development of Business Intelligence Systems
- Business Intelligence Competence Center
- 3. Big Data for Business Intelligence
- Era of Data-intensive Computing
- Big Data Term - Interpretation
- Big Data V Model
- Volume
- Velocity
- Variety
- Veracity
- Visualization
- Variability
- Value
- Techniques for Big Data Analyzing
- Data Mining
- Regression Models
- Time Series Model
- Classification
- Association Rules
- Clustering
- Text Mining
- Web Mining.
- Graph Mining
- Network Analysis
- Machine Learning
- Deep Learning
- Neural Networks
- Genetic Algorithms
- Spatial Analysis
- Search-Based Application
- Big Data Technologies
- NoSQL
- Big Table
- Apache Cassandra
- Google File System
- Apache Hadoop
- MapReduce
- Mashup
- Big Data Management
- 4. Analysis of Business Intelligence and Big Data Adoption in Organizations
- Areas of Business Intelligence and Big Data Utilization in Organizations
- Business Intelligence and Big Data in Relational Marketing
- Analysis of Websites
- Designing and Analyzing Marketing Campaigns
- Recommender Systems
- Price Comparison Websites
- Group Shopping
- Customer Relationship Management Systems
- Business Intelligence and Big Data-Based Analyses in Customer Relationship Management
- Customer Profitability
- Customer Time Value
- Customer Segmentation and Profiling
- Market Basket Analysis
- Customer Loyalty and Migration Analysis
- Customer Behavior Analysis
- Fraud Detection
- Business Intelligence and Big Data in Planning and Budgeting
- Business Intelligence and Big Data in Sales and Distribution
- Business Intelligence and Big Data in Insurance
- Business Intelligence and Big Data in Credit Risk Assessment
- Business Intelligence and Big Data in Engineering and Manufacturing
- Business Intelligence and Big Data in Telecommunications
- Business Intelligence and Big Data in Energy Sector
- Business Intelligence and Big Data in the Financial and Banking Sector
- Business Intelligence and Big Data in Logistics Industry
- Business Intelligence and Big Data in Health Care
- Business Intelligence and Big Data in Human Resources Management
- 5. Measurement and Assessment of Business Intelligence and Big Data Development in Organizations
- Maturity Models.
- Maturity Models for Business Intelligence
- TDWI's Business Intelligence Model
- Gartner's Maturity Model
- AMR Research's Business Intelligence/Performance Management Maturity Model, version 2
- Business Information Maturity Model
- Business Intelligence Maturity Hierarchy
- Infrastructure Optimization Maturity Model
- Business Intelligence Development Model
- Lauder of Business Intelligence
- Hewlett Package Business Intelligence Maturity Model
- Information Evaluation Model SAS
- Watson Model
- The Teradata Maturity Model
- Business Intelligence Maturity Models Based on Analytical Capabilities
- Model Proposed by Davenport and Harris
- Model Based on Dynamic Capabilities Business Intelligence
- Big Data Maturity Models
- The TDWI Big Data Maturity Model
- Big Data and Analytics Maturity Model (IBM model)
- Dell Data Maturity Model
- Big Data Business Model Maturity Index
- The Hortonworks Big Data Maturity Model
- Critical Success Factors for Implementing Business Intelligence and Big Data in Organizations
- CSFs for Business Intelligence and Big Data Use
- Big Data-Based Business Value Creation
- Conclusions
- Index.
- Notes:
- "An Auerbach book"--Title page.
- Description based on: online resource; title from pdf title page (COMPUTERSCIENCEnetBase, viewed January 7, 2021)
- ISBN:
- 0-429-35350-2
- 1-000-21828-7
- 9780429353505
- OCLC:
- 1224544781
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