Walmart analysis (BIG DATA) using KNIME

Hi guys. My project is about analyse the data of a CSV file (not very big less then 6500 rows) and do some anticipations. THIS PROJECT MUST BE DONE IN KNIME Dataset Description Listed on Moodle is the historical data that covers sales from 2010-02-05 to 2012-11-01, in the file WalmartStoresales. Within this file you will find the following CSV headings: Store - the store number Date - the week of sales Weekly_Sales - sales for the given store Holiday_Flag - whether the week is a special holiday week 1 – Holiday week 0 – Non-holiday week Temperature - Temperature on the day of sale Fuel_Price - Cost of fuel in the region CPI – Prevailing consumer price index Unemployment - Prevailing unemployment rate Holiday Events: Super Bowl: 12-Feb-10, 11-Feb-11, 10-Feb-12, 8-Feb-13 Labor Day: 10-Sep-10, 9-Sep-11, 7-Sep-12, 6-Sep-13 Thanksgiving: 26-Nov-10, 25-Nov-11, 23-Nov-12, 29-Nov-13 Christmas: 31-Dec-10, 30-Dec-11, 28-Dec-12, 27-Dec-13 MAIN TASK: Problem : Walmart has branches all over the country but it must decide how to cater to the respective needs of its employees and customers has its core business functions continue to grow. How can Walmart , use the hidden information in the given case to demonstrate this ?