• Sampada Deshpande
• Abhishek More
• Pallavi Shewale
• Amit Bodke
• Rajshri Ingle

Recently, the phrase "Big Data" has been used to refer to datasets that get so big that they are difficult to manage using conventional database management systems. These are data sets that are too large to be processed by most tools. Current big data quantities range from a few dozen terabytes (TB) to many petabytes (PB) of data in a single data set, and these numbers are steadily rising. As a result, gathering, storing, searching, sharing, using analytics, and displaying large data are some of the challenges. Enterprises nowadays are examining massive amounts of extremely detailed data to learn things they didn't know previously. They do this by using software tools and storage systems to record, store, manage, and interpret the data in a reasonable amount of time. We provide a tool that will enable users to enter a dataset jointly and employ intelligent solutions for data visualization. This program will be made available to the general public on a playstore, where users can use it without paying.

Data Science, Analytics, Data Analytics, Cleaning, Prediction, Regression, clustering; Productivity; Visualization; Consensus; Ease of access

"Visualizing Insights with AnalyticsBay: A Data Analytics Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.e516-e519, May-2023, Available :http://www.jetir.org/papers/JETIR2305473.pdf

"Visualizing Insights with AnalyticsBay: A Data Analytics Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppe516-e519, May-2023, Available at : http://www.jetir.org/papers/JETIR2305473.pdf