MARKET PRICE AND DATA ANALYSIS

We are experiencing an increased rate of transaction via net. With the rise in number of transactions, we need to handle data carefully. The volume of data associated with these transaction also increases. This throws some statistical challenges in front of the researcher apart from increasing business opportunities for the traders. In this paper we propose a way that finds the optimal price in software industry using a voluminous dataset from Flipkart.com. We will analyze in this paper the cost and demand of each product and ultimately reach the optimal cost. We will be adhering to “backward-outlining” to estimate such parameters that will help us to reach to our goal in finding the optimal cost.