Question 1

What are the four types of advanced data analytics?

Accepted Answer

The four types of advanced data analytics are descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.

Question 2

What is the difference between data analytics and advanced analytics?

Accepted Answer

Data analytics involves examining historical data to identify trends, while advanced analytics goes beyond this by using sophisticated techniques like machine learning and predictive modelling for more insightful decision-making.

Question 3

What is the meaning of advanced data analysis?

Accepted Answer

Advanced data analysis refers to the use of complex techniques and tools to analyse and interpret data, uncovering deeper insights and patterns beyond basic analysis methods.

Question 4

What is AI and advanced analytics?

Accepted Answer

AI and advanced analytics involve the use of artificial intelligence to enhance data analytics processes, enabling automated learning and decision-making for more accurate predictions and insights.

Question 5

What are the benefits of advanced analytics?

Accepted Answer

The benefits of advanced analytics include improved decision-making, enhanced predictive capabilities, increased operational efficiency, and a better understanding of complex data patterns for strategic planning.

advanced analytics definition

What is Advanced Analytics: Types, Tools, Examples, Jobs, Salary