Big data analytics
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Summary
What is big data, how it is analysed, and some case studies illustrating the potentials and pitfalls of big data analytics are given.
- Type
- article
- Published
- 2016-08-01
- Cited by
- 1,811
- References
- 68
- Access
- Open access
- OpenAlex
- https://openalex.org/W2463670378
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:55545
Keywords
Big data, Data science, Analytics, Computer science, Data analysis
References
- Examining the Impact of Multicollinearity in Discovering Higher-Order Factor Models
- How does business analytics contribute to business value?
- Tutorial: Big Data Analytics: Concepts, Technologies, and Applications
- Information Retrieval Methods for Multidisciplinary Applications
- Fundamentals of Artificial Neural Networks
- Forecasting with Big Data: A Review
- Is "Big Data" creepy?
- Incorporating risk measures in closed-loop supply chain network design
- Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool
- How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study
- Supply chain analytics
- The Parable of Google Flu: Traps in Big Data Analysis
- The World’s Technological Capacity to Store, Communicate, and Compute Information
- A perspective on applications of in-memory analytics in supply chain management
- Data and privacy: Now you see me; New model for data sharing; Modern governance and staticians
- The impact of supply chain analytics on operational performance: a resource-based view
- Operational research from Taylorism to Terabytes: A research agenda for the analytics age
- Big Data: Issues and Challenges Moving Forward
- Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management
- Undefined By Data: A Survey of Big Data Definitions
Cited by
- A Rule-Based Spatial Reasoning Approach for OpenStreetMap Data Quality Enrichment; Case Study of Routing and Navigation
- Auswirkungen von In-Memory-Datenmanagement auf Geschäftsprozesse im Business Intelligence
- Big Data Analytics: A Literature Review Paper
- Big Data Analytics for Professionals, Data-milling for Laypeople
- Big Data Project Success - a Meta Analysis
- A Review on Big Data Integration
- Issues and challenges of information fusion in contested environments: panel results
- Big Data Computing and Clouds: Challenges, Solutions, and Future Directions
- Big Data in Design and Manufacturing Engineering
- Is there Still a Need for Multidimensional Data Models?
- Anomaly Detection inMachine-Generated Data:A Structured Approach
- Big Data Driven Supply Chain Management and Business Administration
- Enablers affecting the adoption of business intelligence : a study of Thai small and medium-sized enterprises
- Understandable Big Data: A survey
- DYNAMIC LOAD BALANCING AND AUTOSCALING IN DISTRIBUTED STREAM PROCESSING SYSTEMS
- Big Data: Tools and Technologies in Big Data
- A general perspective of Big Data: applications, tools, challenges and trends
- Enhancing Organizational Performance through Event-based Process Predictions
- Business Analytics in the Context of Big Data: A Roadmap for Research
- Exploring the Future Shape of Business Intelligence: Mapping Dynamic Capabilities of Information Systems to Business Intelligence Agility
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