What is the outcome of descriptive analytics?

What is the outcome of descriptive analytics?

• A. Predictions of future business trends
• B. Well defined business problems and opportunities
• C. Suggestions for business improvement
• D. Understanding data relationships

Answer: (B)

Descriptive analytics is primarily focused on summarizing historical data to understand what has happened in a business context. The outcome of this type of analysis is often well-defined business problems and opportunities, as it provides insights into past performance based on collected data. By organizing, visualizing, and interpreting historical data, descriptive analytics enables businesses to identify patterns, trends, and anomalies that inform decision-making. This understanding helps businesses to clearly articulate problems they need to solve and opportunities they could pursue based on the data analysis. For instance, by analyzing sales data over the previous year, a company may realize a consistent drop in sales during a particular period, highlighting a problem that needs addressing or an opportunity to explore strategies to boost sales during that time frame. Other types of analytics, such as predictive analytics, focus on forecast future trends and behaviors based on historical data, while prescriptive analytics involves making suggestions for business improvement. Understanding data relationships is typically a component of more complex analyses that may fall under exploratory analytics.

Descriptive analytics is primarily focused on summarizing historical data to understand what has happened in a business context. The outcome of this type of analysis is often well-defined business problems and opportunities, as it provides insights into past performance based on collected data. By organizing, visualizing, and interpreting historical data, descriptive analytics enables businesses to identify patterns, trends, and anomalies that inform decision-making.

This understanding helps businesses to clearly articulate problems they need to solve and opportunities they could pursue based on the data analysis. For instance, by analyzing sales data over the previous year, a company may realize a consistent drop in sales during a particular period, highlighting a problem that needs addressing or an opportunity to explore strategies to boost sales during that time frame.

Other types of analytics, such as predictive analytics, focus on forecast future trends and behaviors based on historical data, while prescriptive analytics involves making suggestions for business improvement. Understanding data relationships is typically a component of more complex analyses that may fall under exploratory analytics.