Why Reporting Problems Are Usually Data Problems

[Abhijeet Upadh2]

A common request during ServiceNow engagements is to improve reporting. Stakeholders often believe new dashboards, additional KPIs, or enhanced Performance Analytics will solve visibility challenges.

In reality, reporting problems are often data problems.

Over the years, I have seen organisations invest significant effort in creating executive dashboards only to realise the underlying data cannot support the insights they are seeking. Missing assignment groups, inconsistent categorisation, incomplete configuration item relationships, and poor process adoption all impact reporting quality.

The challenge is that dashboards only reflect the data they receive. A sophisticated report cannot compensate for inaccurate, incomplete, or inconsistent information.

Architects should treat reporting requirements as data quality requirements. Rather than immediately designing dashboards, teams should evaluate how information enters the platform, which controls ensure data quality, and what governance exists around mandatory fields and data ownership.

This becomes particularly important for enterprise reporting where leadership relies on ServiceNow metrics to make strategic decisions.

When data quality is poor, stakeholders often lose confidence in reporting altogether. Once trust is lost, even accurate reports may be questioned.

The most successful reporting implementations I've seen focused first on process adherence, validation controls, and data governance. Reporting was viewed as the final output rather than the starting point.

Great dashboards do not create great data.

Great data creates great dashboards.