Which feature of Enterprise Grill primarily focuses on data-driven decision making?

The feature that primarily focuses on data-driven decision making is predictive analytics. Predictive analytics involves the use of statistical techniques and machine learning algorithms to analyze current and historical data to make informed predictions about future outcomes. In the context of Enterprise Grill, this means harnessing data to forecast trends, optimize menu offerings based on customer preferences, manage inventory more efficiently, and enhance overall operational efficiency. By utilizing predictive analytics, management can make strategic decisions grounded in solid data insights, thereby improving business performance.

The other options, while important for various aspects of the business, do not primarily emphasize data-driven decision making. User interface design enhances user experience but does not directly relate to data analysis. Customer database management is critical for organizing customer information but focuses more on maintaining records than analyzing data for decision making. Kitchen layout optimization addresses physical organization for efficiency, but it does not involve analytical processes that predict future business needs or performance. Thus, predictive analytics stands out as the feature that aligns directly with leveraging data for strategic decisions.