MCB Data Cloud Certification Practice Exam 2026 - Free Data Cloud Certification Practice Questions and Study Guide

MCB Data Cloud supports descriptive, predictive, and prescriptive analytics, which are essential for comprehensive data analysis. Descriptive analytics focuses on summarizing historical data to understand trends and patterns. This type involves techniques like data visualization and reporting, helping organizations gain insights into what has happened.

Predictive analytics builds on this foundation by using historical data and statistical algorithms to forecast future outcomes. This enables businesses to make informed decisions based on likely scenarios and trends identified in the data.

Prescriptive analytics takes it a step further by recommending actions based on the predictions made. It not only assesses potential outcomes but also provides guidance on the best courses of action to take, considering various constraints and objectives.

This triad of analytics—descriptive, predictive, and prescriptive—provides a powerful framework for organizations to analyze data thoroughly, empowering them to make strategic, evidence-based decisions. Other options do not encompass this comprehensive approach, as they either focus on different types of analysis that do not align as closely with MCB Data Cloud's capabilities or do not represent the analytical methods as recognized in data science and analytics.