The data, unless processed may not be reveal its story. It is the job of data analyst to process the raw data for some meaningful purpose so that it can be used for the decision making. Every dataset has its own story to tell. However, it is the science and art (both at the same time) of the data analysis to use the dataset effectively for the benefit of all the stakeholders of the corporate world. The application of data analysis in finance functional area is equally important. Financial data analysis (FDA) may differ from the marketing-based data analysis because of dominance of secondary data and time series data. However, the basic tenets of the data analysis prevail even for FDA as well.
Cross-sectional data; Time-series Data; Panel Data; Volatility; Decision.
Rahul Singh Gautam , Venkata Mrudula Bhimavarapu "Data Driven Decision Making: Application in Finance" Iconic Research And Engineering Journals Volume 5 Issue 12 2022 Page 52-56
Rahul Singh Gautam , Venkata Mrudula Bhimavarapu "Data Driven Decision Making: Application in Finance" Iconic Research And Engineering Journals, 5(12)