For years sales and marketing teams around the world have failed to understand the importance of having a data scientist in their ranks. There are several reasons for that but perhaps the most significant one is a failure to recognize and embrace the difference between data analytics and data science.
The restaurant business has since grown tremendously with the increase in demand for ethnic food, rise in population, globalization, and advances in technology. In 2016, the restaurant market in the US is expected to reach more than $782 billion.
Retailers use analytics platforms and solutions to leverage customer insights. Analytics sheds light on customer behaviour and tendencies by extracting metrics such as frequency of purchase, the average amount spent in transactions, conversion rate, the amount spent on specific product types, etc.
Customer experience is one of the most significant factor in hospitality that differentiates one from the rest. It does not matter whether one is travelling on a business trip or a leisure trip with family and friends, they always expect to have the best class experience during their trip.
The human foot forward into the 21st century has ushered the big guns of globalisation and modernisation to severely impact every step taken. Numerous products, commodities, amenities and services are at our disposal making the desire to availability mapping incredibly robust.
Before the era of supermarkets hit our country, the ration of the house would come in from the neighbourhood mom-n-pop store right around the corner. Our grandparents would hand us a ten rupee note and send us off to buy a pack of biscuits, or milk,