What is the minimum number of SF report rows required to gain Analytics insights?

To gain meaningful analytics insights from a dataset, the volume of data must be sufficient to uncover patterns, trends, and anomalies that can inform decision-making. While there is no universally fixed number that guarantees insights, a dataset with at least 50 report rows is generally seen as a starting point.

This minimum allows for a more robust analysis, providing a better chance of identifying variations and establishing a baseline for comparison. With fewer than 50 rows, the data might be too limited, leading to limited representativeness and potentially skewed results. By having a dataset of around 50 rows, analysts can begin to apply statistical methods effectively and draw preliminary conclusions with a degree of confidence.

In contrast, lower options might not provide adequate data for reliable insights, while higher options exceed the minimum requirement without necessarily adding incremental value for the analysis at the basic stage. Thus, aiming for around 50 rows balances the need for comprehensive analysis with the practicalities of data collection and processing.