Big companies beat the market by using the complex technological solutions used from big data concepts. This is one side of the coin, on the other side, where all these companies are getting reliable customers. What tricks are they using to attract the customers and maintain the database full of loyal customers. In order to reveal the facts behind the techniques, we definitely need to know about the predictive analytics. Let's go to our old days, where you went to the same neighborhood bakery every time you needed bread. Even before you placed your order, the shopkeeper already had a loaf bagged and ready. As you paid, she would ask what was new with your family. She might remind you to order a cake soon so it would be ready in time for your daughter’s birthday. You appreciated the personalized service and wouldn’t think of shopping at any other bakery.
This is how the predictive analytics work. In technical terms, data scientist will predict what the customer needs are and what he wants. Companies gather a ton of data on customers, not only what they’ve purchased but also the information about websites they visit, where they live when they’ve contacted customer service, and if they interact with their brand on social media. It’s an overdose amount of more unrelated data, that's why it's called as big data, "COMPLEX DATA" but companies that can properly mine this to offer a more personalized and customized touch. To properly predict the future, companies must promote the right products to the right customers on the right channel.
For more information on analytics, please visit https://haneenalansari.blogspot.com/2017/05/how-big-data-advances-ecommerce.html
Data cleaning is a very important step when companies do personalization.
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ReplyDeleteInteresting point!
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