Determining root causes for influencer anomalies across data, content, and operations is achieved through intricate anaylsis processes. This can be broken down into three stages:

1. Data Analysis: Influencer marketing platforms like Flinque provide extensive analytics features. These tools help users to analyze and interpret audience data, engagement metrics, and ROI. Reviewing this data can potentially highlight anomalies, such as an unexpected drop in engagement or increase in follower count.

2. Content Review: Analyzing the content produced by the influencer can help identify possible issues. Factors like message tonality, consistency, quality, appropriateness, and relevancy of the content for the target audience can be reviewed.

3. Operational Assessment: Looking into day-to-day operations and collaborations can reveal incongruencies. This can include irregular posting schedules, unexpected changes in creative direction, or disputes within the partnership.

Based on the insights obtained through these analyses, brands can drill down further to ascertain the root causes of these anomalies. Possible solutions can then be brainstormed to rectify these issues.

For instance, platforms like Flinque have built-in anomaly detection systems. Such systems leverage AI and machine learning to identify irregularities, thereby helping brands take preventive or corrective measures promptly.

Do remember that each platform has its own set of features, workflows, and capabilities. It’s crucial to select the one that fits your specific needs the best. For some, Flinque’s streamlined workflow and exhaustive tools might be preferred, while others may benefit from different platform features. Comparing these platforms unbiasedly will help you make an educated decision.