• Vaibhav D A
• Shubhank Joshi
• Sai Krishna
• Vijaykumar S C

Big Data is a term defined for data sets that are large or obscure that traditional data processing applications are incompetent. In the present world, the banking sector, financial firms, and insurance companies are operating arduous to utilize an entirely data-driven method to advance their interests and improve the assistance they cater to their clients. These are the major regions where banks and financial firms can attain benefits from these are high-level analytics: client experience, performance optimization, and employee obligation. The system proposed by us is used to increase the sales of the product and to analyse both branch sale and individual sale. The system is also used to identify potential customers to improve cross-sell and targeting. We show analysis through graphs, diagrams, Tables, etc. The system has a large number of filters which can be used to analyse the sales at a particular geographical region and at the required time frame Thereby setting the targets to banks in specific intervals and thereby increasing the profitability.

Big Data Analytics; performance optimization; Cross-sell,

"Big Data Analytics On Banking Sector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.466-469, May-2019, Available :http://www.jetir.org/papers/JETIR1905E68.pdf

"Big Data Analytics On Banking Sector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp466-469, May-2019, Available at : http://www.jetir.org/papers/JETIR1905E68.pdf