The science of examining raw data with the purpose of drawing conclusions about that information.

Data Analytics - Quiz(MCQ)

Predictive Analytics

Descriptive Analytics

Data Analytics

In-memory Analytics

Correct Answer : Data Analytics

Explanation : Data analytics is the science of examining raw data with the purpose of drawing conclusions about that information. It involves the use of various techniques and tools to analyze and interpret data in order to uncover patterns, trends, and insights.

By analyzing data, organizations can make informed decisions, identify areas for improvement, and gain a competitive advantage.

Data analytics encompasses different types of analytics, such as descriptive analytics, predictive analytics, and prescriptive analytics, each serving a specific purpose in extracting meaningful information from data.

Recently Updated in Data Analytics Questions

________ Analysis is used to analyze a system in terms of its requirements to identify its impact on customers’ satisfaction. Fill in the blank.

Impact

Kano

Paretto

RootCause

Correct Answer : Kano

Explaination : The Kano analysis is used to analyze a system in terms of its requirements and identify its impact on customers' satisfaction.

This analysis helps to categorize customer preferences into different types: basic requirements, performance requirements, and excitement requirements.

By understanding these different types of requirements, businesses can prioritize their efforts and focus on delivering features and functionalities that will truly satisfy their customers.

According to a very recent Jaspersoft Survey, what is the most popular big data store?

MongoDB

Hadoop HDFS

Both (A) and (B)

Relational Databases

Correct Answer : Relational Databases

Explanation : The most popular big data store according to the recent Jaspersoft Survey is Relational Databases.

By 2025, the volume of data will increase to_____.

Correct Answer : ZB

Explanation : It is projected that 2.5 quintillion bytes of data are created every day, with the volume of digital data expected to reach Zeta Byte by 2025.