Product details

In January 2022, the vice-president of technology for Nata Supermarkets was reviewing the company's performance against its competitors for the 2021 calendar year. The company had been performing poorly both based on its internal metrics and against competitor growth rates. The vice-president also noticed that many competitors began revealing new data analytics initiatives in their annual reports. Many companies experienced industry-leading growth because of these changes and upgraded their guidance for the following year. To compete with an increasing number of data-driven competitors, Nata Supermarket created its internal data set to collect information on customer shopping habits and customer demographics such as age, educational background, and frequency of complaints. With the emergence of visualization tools and data analytics, the vice-president was wondering what useful insights could be drawn from its internal data set. Could this information be useful to resolve various issues such as targeting promotions and forecasting demand?