Your IT data isn’t dirty, it’s multi-truth

We break down why enterprise IT numbers rarely match reality and how contradictory identity, application, and spend data erodes trust. We dig into how inflated user counts, noisy app discovery, and fragmented purchasing emerge from systems that are each locally correct, and why true accuracy requires curated, decision‑grade data enriched with context, normalization, linkage, and consistent scoping.