Big Data Analytics
Big data analytics is the use of advanced analytic techniques on very large and diverse data sets containing structured, semi-structured and unstructured data ranging in size from terabytes to zeta bytes from disparate sources. Here are some examples: Use analytics to understand customer behaviour to optimize customer experience. Predict future trends to make better business decisions. Improve your marketing campaigns by understanding what works and what doesn't. At different stages of business analytics, huge amounts of data are processed, and there are five types of analytics: descriptive, diagnostic, predictive, prescriptive, and cognitive analytics, depending on the requirements of the analytics type.
Related Conference of Big Data Analytics
March 09-10, 2026
14th Global Summit on Artificial Intelligence and Neural Networks
Singapore City, Singapore
December 07-08, 2026
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
December 09-10, 2026
25th International Conference on Big Data & Data Analytics
Amsterdam, Netherlands
Big Data Analytics Conference Speakers
Recommended Sessions
- Big Data Algorithm
- Big Data Analytics
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Management
- Big Data Optimization
- Big Data Technologies
- Big Data Tools and Systems
- Cloud computing
- Data Mining and Machine Learning
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Forecasting from Big Data
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