Business Intelligence and Big Data: Drivers of Organizational Success
- Length: 194 pages
- Edition: 1
- Language: English
- Publisher: Auerbach Publications
- Publication Date: 2020-11-18
- ISBN-10: 0367373947
- ISBN-13: 9780367373948
- Sales Rank: #0 (See Top 100 Books)
The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported?
Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization.
The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as:
- Analysis and interpretation of the essence of BI and BD
- Decision support
- Potential areas of BI and BD utilization in organizations
- Factors determining success with using BI and BD
- The role of BI and BD in value creation for organizations
- Identifying barriers and constraints related to BI and BD design and implementation
The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.
Cover Half Title Title Copyright 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 References 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 References 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 References 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 References Index
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