Big Data Analytics
Big data analytics is the use of advanced analytical techniques on very large and diverse data sets consisting of structured, semi-structured and unstructured data from different sources, ranging in size from terabytes to zeta bytes. Here are some examples: Use analytics to understand customer behavior to optimize customer experience. Predict the future trends to make better business decisions. Improve your marketing campaigns by understanding what's working and what's not. In different phases of business analysis, large amounts of data are processed. According to the requirements of the type of analysis, there are five types of analysis: descriptive analysis, diagnostic analysis, predictive analysis, prescriptive analysis and cognitive analysis.
Related Conference of Big Data Analytics
October 28-29, 2025
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3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
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11th International Conference and Exhibition on Mechanical & Aerospace Engineering
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Big Data Analytics Conference Speakers
Recommended Sessions
- Big Data Analytics
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Optimization
- Big Data Technologies
- Blockchain Technology
- Cloud computing
- Crypto currency
- Crypto Trading
- Data Mining and Statistical Analysis
- Data Warehousing
- Edge Computing
- Health IT Systems
- Information Technology
- Machine Learning
- Role of AI in Industry
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