To provide comprehensive analytics in an e-commerce sales performance story, what should be included?

Including a pie chart to display product category shares provides a visual representation of how different product categories contribute to overall sales. This type of chart enables stakeholders to quickly grasp the relative size of each category, facilitating an understanding of which categories drive sales performance and identifying potential areas for growth or decline. It supports the analysis by breaking down the sales data into digestible portions, making it easier to communicate findings regarding product mix and category performance.

While the other options also offer valuable insights within an e-commerce sales performance story, they focus on different aspects of analysis. Anomaly detection addresses the identification of irregularities in sales data, which is important but does not provide an overview of category contributions. Predictive forecasting looks forward to estimate future sales trends, whereas time series charts analyze historical data trends over specific periods. Each of these methods enhances analytics through depth and forecasting but does not replace the need for foundational insights like those gained from product category shares.