What is the main goal of systems supporting data analytics?

The primary objective of systems supporting data analytics is to forecast future performance based on data. These systems are designed to analyze historical data, identify trends, and generate insights that can help businesses make informed predictions about future outcomes. By leveraging large datasets, data analytics systems can uncover patterns and correlations that might not be immediately evident, allowing organizations to strategize effectively and allocate resources accordingly.

This emphasis on predictive analysis enables businesses to prepare for changes in market conditions, customer behavior, and other factors that influence performance. Such foresight can lead to improved decision-making, enhanced operational efficiency, and ultimately, better performance outcomes.

The other options, while related to aspects of business operations, do not encapsulate the primary function of data analytics systems. For instance, managing customer complaints and increasing social media presence are more operational goals that may benefit from data insights but are not the main intent of analytics systems. Similarly, while cost reduction in hiring may occur as a result of better forecasting and resource allocation, it is not the fundamental purpose of these systems. The focus on forecasting future performance distinctly highlights the value that data analytics brings to organizations.