Question 48

Descriptive analytics represents one of the four data analytics levels.

Descriptive analytics is focused on summarizing historical data to understand what has happened in the past. This form of analytics is crucial for providing insights into trends and patterns, making it a fundamental level of data analytics.

A) Relational

Relational analytics refers to the analysis of relationships between data points, often used in database management and not classified as one of the four primary levels of data analytics. Therefore, this option does not accurately represent a level of analytics.

B) Collaborative

Collaborative analytics involves the sharing and combining of data among different stakeholders to gain insights. While it is an important aspect of data analysis, it does not fit into the established framework of the four levels of analytics.

C) Comprehensive

Comprehensive analytics suggests an all-encompassing approach to data analysis, but it is not recognized as one of the four distinct levels of analytics. This term does not accurately describe a formal level within the analytics hierarchy.

D) Descriptive

Descriptive analytics is indeed one of the four primary levels of data analytics, as it focuses on summarizing past data to provide insights and inform decisions. It is essential for organizations to understand past performance and trends.

Conclusion

Descriptive analytics stands out as a foundational level of data analytics, allowing businesses to interpret historical data and identify trends effectively. The other options, while relevant to data analysis, do not represent formal levels within the analytics framework, reinforcing that descriptive analytics is the correct answer.