Big data analysis involves several steps, including data collection, data cleaning, data integration, data storage, data analysis, and data visualization. Advanced technologies such as machine learning, data mining, and artificial intelligence are often used to analyze large data sets and extract meaningful insights.
Big data analysis is used in many fields, including technology, maintenance, production flow and decision making. For example, in production big data analysis may be used to detect and identify patterns in production persistence, boundary conditions and performance. Furthermore, with big data analysis powerful insight of limitations, events and opportunities may be recognized in complex processes with the goal of upgrade and adapt process to achieve the desired goals.