Which of the following would be a typical use of data analytics?

A.To gather and store raw data about customers, products, transactions, etc.


B.To evaluate data in order to improve productivity and business gain.


C.To query the contents of a data warehouse.


D.To alert the analyst to gaps in current data set.

Respuesta :

D
- to alert the analyst to gaps in current data set






Hope this helps :)

A typical use of data analytics is to alert the analyst to gaps in current data sets. This implies the correct answer is D.

Data analytics refers to the process of analyzing raw data and gather conclusions about the information the data contains. This process requires specialized systems and software. Data analytics are widely used in most industries when making decisions.

Further Explanation

Data analytics techniques can help commercial companies to make informed decisions by scientists and researchers to confirm or dis-confirm theories and hypothesis. Data analytics is similar to business analytic because both are techniques that can be used to analyze data.    

Data analytics can help commercial industries in many ways, It can help them to improve their revenue, increase their efficiency in regards to production, and improve marketing campaigns.

Data analytics technologies can also help businesses to enhance customer’s effort; this initiative can as well help companies to react quickly to market development and provide the opportunity to adjust to market trends before their rivals in a bid to boost the overall business performance.

Depending on the application, the analyzed raw data can contain records of recent information that have been organized for real-time analytics uses

Therefore, the typical use of data analytics is to alert the analyst to gaps in current data sets.

LEARN MORE:

  • Which of the following would be a typical use of data analytics?  https://brainly.com/question/13805495
  • Which of the following is FALSE?  https://brainly.com/question/13954653

KEYWORDS:

  • data analytics
  • technologies
  • scientists
  • hypothesis
  • software
  • specialized system