The Problem Isn’t Too Many Dashboards. It’s Too Many Versions of the Truth.
Four Forces Behind Reporting Sprawl
- Business-led proliferation:New brands, markets and functions continuously create new reporting needs, while older reports remain in place.
- KPI fragmentation: The same business concept can be defined, calculatedor measured differently across teams, making apparently comparable numbers difficult to reconcile.
- Technology-led duplication: Different platforms, tools and local solutions can create parallel ways of answering the same business question.
- Governance gaps: Without clear ownership, review mechanisms and retirement criteria, reports continue to exist long after the need that created them has changed.
Why Rationalization Alone Isn’t Enough
Where ProcDNA Starts
FAQs
What is report rationalization?
Report rationalization is the process of reviewing an organization’s existing dashboards and reports to decide which should be retained, consolidated, retired or redesigned. Done well, it also standardizes the KPI definitions and data sources behind those reports, so the ones that remain are trusted and consistently understood across teams.
Why do pharma companies end up with so many dashboards?
Reporting estates grow because business needs multiply over time: new brand launches, new markets, new commercial functions and reorganizations each tend to generate their own reports. Because most organizations lack a routine process for retiring or consolidating older reports, the estate only grows, and fragmented KPI definitions and unclear ownership compound the pattern.
What is the difference between report rationalization and report standardization?
Rationalization usually refers to deciding which reports to keep, merge or retire. Standardization is broader: it also addresses how those reports are built, agreeing on consistent KPI definitions, calculation logic and data sources so different reports produce comparable numbers. Rationalizing without standardizing often ends up with fewer reports that still disagree with each other.
How do you know when it is time to rationalize your reporting?
A few signals tend to appear together: leadership meetings that open with a debate about whose number is correct, multiple teams independently building reports that answer a similar question, and reports still running because a handful of users open them out of habit rather than active need. Seeing several of these together usually means the reporting estate has outgrown its original design.






















































