What is a disadvantage of Self-Service Analytics?

Self-Service Analytics empowers users to independently access and analyze data without relying heavily on IT or data specialists. While this independence has significant advantages, it can also lead to challenges, especially concerning data consistency.

When various users or departments perform independent analyses, they may rely on different datasets, methodologies, or interpretations of the data. This can result in disparate conclusions and decisions based on inconsistent data usage. For instance, one department might utilize a particular version of a dataset while another uses an outdated version, leading to conflicting insights. This lack of uniformity in data access and analysis undermines organizational coherence in decision-making and can create more confusion rather than clarity.

In contrast, the other options highlight the benefits of Self-Service Analytics. While independent analysis and promoting collaboration can support overall data-driven decision-making, without a centralized framework for data governance and consistent usage, the risks of inconsistency can overshadow these advantages. Encouraging data literacy is also a positive aspect, as it enables users to better understand and interpret data.