Q : 06 identify and describe a specific example each of descriptive, predictive and
prescriptive analytics
Descriptive Analytics:
Nod Nocturnal Security Service could use descriptive analytics to understand
which areas of the city are most likely to experience crime. This would involve
analyzing historical crime data to identify patterns and trends. The analytic tool
would help Nod Nocturnal Security Service to deploy its resources more
effectively and to make better decisions about where to deploy its security
guards.
These are the most common type of analytics. They are used to generate insights
from past data and show trends in the data.
If the company has a problem of the lack of data and it was difficult to provide
security services. The descriptive analytics helped the company to identify what
threats they were facing and what type of data they needed.
Descriptive analytics is a tool that can be used for understanding customer needs
and for providing feedback on how well the service is meeting those needs. It
helps in understanding customer behavior, patterns, and trends which will help in
making decisions about future investments in both marketing and product
development.
prescriptive analytics
Descriptive Analytics:
Nod Nocturnal Security Service could use descriptive analytics to understand
which areas of the city are most likely to experience crime. This would involve
analyzing historical crime data to identify patterns and trends. The analytic tool
would help Nod Nocturnal Security Service to deploy its resources more
effectively and to make better decisions about where to deploy its security
guards.
These are the most common type of analytics. They are used to generate insights
from past data and show trends in the data.
If the company has a problem of the lack of data and it was difficult to provide
security services. The descriptive analytics helped the company to identify what
threats they were facing and what type of data they needed.
Descriptive analytics is a tool that can be used for understanding customer needs
and for providing feedback on how well the service is meeting those needs. It
helps in understanding customer behavior, patterns, and trends which will help in
making decisions about future investments in both marketing and product
development.
