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Big Data Analytics Saying Due Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS2015128 http://www.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS2015128.html
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Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other information that can help organizations make informed business decisions.
Any organization that collects and analyzes large amounts of data can benefit from using big data analytics. It is commonly used in industries such as finance, healthcare, retail, and telecommunications.
Big data analytics is typically filled out using specialized software and tools that allow users to input data, run analytics algorithms, and generate reports. The process may involve data cleaning, data modeling, data visualization, and strategic decision-making.
The purpose of big data analytics is to help organizations gain valuable insights from their data, improve decision-making processes, enhance operational efficiency, identify new business opportunities, and ultimately drive business growth.
The information reported on big data analytics may vary depending on the specific goals and objectives of the organization. Common types of data that are analyzed include customer behavior, sales trends, website traffic, social media engagement, and operational performance metrics.
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