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Case Studies in Descriptive Analytics: Descriptive Analytics

Descriptive analytics is the process of turning data into insights. Case studies are an important part of this process, as they provide a way to examine real-world examples of how descriptive analytics can be used to improve decision making.

There are many different types of case studies, but all share a common goal: to provide insights that can be used to improve decision making.

In this article, we will discuss three different types of case studies: those that focus on a single organization, those that compare multiple organizations, and those that examine the use of specific analytical techniques.

Single-Organization Case Studies:

Single-organization case studies focus on a specific organization and examine how descriptive analytics was used to improve decision making within that organization. One example of a single-organization case study is the examination of how Walmart used descriptive analytics to improve its supply chain management.

In this case study, Walmart used data to identify patterns in customer behavior. They then used this information to improve their inventory management and ensure that they had the right products in stock at all times. This helped them to avoid out-of-stocks and reduce the need for markdowns, both of which improved their bottom line.

Another example of a single-organization case study is the examination of how Amazon used descriptive analytics to improve its website design. In this case, Amazon used data to understand how customers interacted with their website. They then used this information to redesign their website to be more user-friendly. This helped them to increase sales and improve customer satisfaction.

Comparative Case Studies:

Comparative case studies examine how two or more organizations use descriptive analytics to make decisions. These studies can be useful for understanding the different approaches that organizations take to data analysis.

One example of a comparative case study is the examination of how Walmart and Amazon use descriptive analytics to make decisions about pricing. In this study, the researchers looked at how each company used data to determine prices for products. They found that Walmart used a more complex approach than Amazon, which resulted in higher prices for their products. However, they also found that Walmart’s prices were more accurate than Amazon’s, which led to fewer customer complaints and returns.

Another example of a comparative case study is the examination of how two different airline companies use data to make decisions about flight schedules. In this study, the researchers found that one company used a more sophisticated approach to data analysis than the other. As a result, they were able to make better decisions about flight schedules and reduce delays.

Specific Technique Case Studies:

Specific technique case studies examine how a specific analytical technique was used to improve decision making. These studies can be useful for understanding how different techniques can be used to achieve similar results.

One example of a specific technique case study is the examination of how Walmart used regression analysis to improve its pricing decisions. In this case, Walmart used data to understand how customer demand varied by price. They then used regression analysis to identify the price point that would maximize their profits. This helped them to increase sales and improve their bottom line.

Another example of a specific technique case study is the examination of how Amazon used data mining to improve its website design. In this case, Amazon used data to understand how customers interacted with their website. They then used data mining to identify patterns in customer behavior. This helped them to redesign their website to be more user-friendly. This helped them to increase sales and improve customer satisfaction.

Descriptive analytics is the process of turning data into insights. Case studies are an important part of this process, as they provide a way to examine real-world examples of how descriptive analytics can be used to improve decision making.

There are many different types of case studies, but all share a common goal: to provide insights that can be used to improve decision making.

Conclusion:

Descriptive analytics can be used to improve decision making in a variety of ways. Single-organization case studies show how specific organizations have used data to improve their operations. Comparative case studies examine how different organizations use data to make decisions. Specific technique case studies show how different analytical techniques can be used to achieve similar results.

Descriptive analytics can be used in a variety of ways to improve decision making. Single-organization case studies can be used to understand how a specific organization uses descriptive analytics. Comparative case studies can be used to understand how different organizations use descriptive analytics. Specific technique case studies can be used to understand how a specific analytical technique is used to improve decision making.

One example of a specific technique case study is the examination of how Walmart used regression analysis to improve its pricing decisions. In this case, Walmart used data to understand how customer demand varied by price. They then used regression analysis to identify the price point that would maximize their profits. This helped them to increase sales and improve their bottom line.

 

Marie Hynes
Marie Hynes
Hey! I'm Marie Hynes and I'm a California-based Freelance writer who covers health and wellness for HuffPost, PBS, Girlboss, and the Philadelphia Inquirer, among others.
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