Now that you know how to name your data, you are ready to start processing your data.
Once we have the data cleaned & organized, we need to process it in ways that will allow us to draw
insights from it.
Let’s assume that you wish to buy a white shirt made of linen, with a price range between 800 INR to
1500 INR. Let’s head over to Flipkart so that you can buy this shirt. Once you log in, what do you do
next? You apply filters for clothing, shirts, colour and price range. This process helps you get a list of
white shirts from different brands and at different price ranges. Doesn’t this make your purchasing
process quicker and easier?