In IdentityNow, what could be a potential drawback of not cleaning data sources before import?

Choosing to not clean data sources before importing them into IdentityNow can lead to inaccurate insights, which can severely impact decision-making and overall data reliability. When data is unclean, it may contain duplicates, inconsistencies, or incorrect entries. These issues can skew analytical results, create misinterpretations, and hinder the effectiveness of identity governance processes. Without a proper cleaning process, stakeholders may base critical decisions on flawed information, leading to potential risks in compliance, security, and operational efficiency.

While inaccurate insights are a significant concern, the other options focus on different outcomes. Preventing any data import would be an extreme consequence of unclean data and is not a typical scenario. Cleaning data would not inherently make reporting easier, as the focus is usually on ensuring accuracy rather than simplicity. Similarly, cleaning data does not guarantee better data sharing; it is more about ensuring that the data shared is legitimate and reliable. Hence, maintaining the integrity of the data through a cleaning process is essential to avoid the pitfalls associated with inaccurate insights.