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The hidden data problem: Why your ServiceNow SAM Pro implementation stalls at 20%

(part 1 of the series "The ServiceNow SAM journey: From data chaos to intelligent control")

If you’ve implemented ServiceNow SAM Pro and still feel like you’re only scratching the surface, you’re not alone. Many teams put in months of effort, switch on the dashboards, and then hit an invisible ceiling. Compliance numbers don’t add up, Finance is skeptical, and “automation” feels a lot more manual than promised.

Blog - November 2025: How to get the full potential of ServiceNow SAM Pro by fixing the foundation that everyone overlooks - your data.

Most SAM Pro programs hit the same wall: everything looks good on the surface, but the numbers don’t add up. Dashboards look polished, yet compliance positions are shaky, savings are unverified, and Finance doesn’t fully trust the outputs.

The uncomfortable truth? It’s almost never the tool. It’s the data.


The 5 data gaps that hold back SAM Pro

1. Incomplete Discovery
When only 70–80% of your environment is scanned, things get missed; VMs, cloud workloads, SaaS accounts, you name it.

Impact: You can’t build accurate installation or usage evidence.

2. A CMDB that doesn’t reflect reality
Duplicates, stale relationships, and inconsistent class models break the chain from software → device → user → cost center.

Impact: ELPs lose credibility fast.

3. Entitlements that don’t match the content library
Messy procurement data, such as mixed publisher names, missing SKUs, and inconsistent metrics won’t reconcile in SAM Pro.

Impact: False over/under-licensing signals.

4. Low normalization rates
Stopping at 80% “known products” leaves high-risk installs unaccounted for.

Impact: Missed savings and hidden exposure.

5. Fragmented SaaS data
Disconnected admin portals and poor HR matching undermine reclamation and right-sizing.

Impact: No reliable view of real SaaS consumption.


The business impact

  • Audit risk: incomplete discovery or entitlement data means you cannot prove compliance when vendors challenge your ELPs.
  • Wasted spend: duplicate or unused licenses remain unnoticed because usage data is missing or mis-linked.
  • Low ROI: leadership loses faith in the numbers, and SAM Pro is seen as a reporting tool rather than a cost-saving engine.
  • Stalled optimization: automated reclamation and renewal forecasting fail because the inputs are unreliable.

In short, bad data suffocates automation.


How to fix your data foundation

At Noventiq, we treat data as the first, non-negotiable pillar of every SAM Pro program. Here’s the proven roadmap that gets clients past the 20 % plateau.

Step 1: Assess your data health
Look at coverage, CMDB structure, normalization accuracy, and SKU quality.

Output: a clear Data Health Scorecard that shows where SAM Pro is stuck.

Step 2: Clean and align
Standardize naming, fix CIs, correct SKUs, enrich discovery, and match SaaS users to HR. This is the step most teams skip. But also the one that changes everything!

Step 3: Activate features on clean data
Turn on Now Assist (for AI summaries), use Guided Setup, Configure enhanced SaaS integrations, enable SQL HA and Hyper-V logic. But only when data accuracy is stable. AI doesn’t fix bad data, it amplifies it!

Step 4: Operationalize data governance
Schedule weekly content updates, automate nightly reconciliations, review normalization and discovery exception monthly, and establish a clear data steward role. Good data stays good only with ongoing care.

What “good” looks like
Most teams see major improvements in 60–90 days:

  • 95%+ normalized products
  • 90%+ discovery coverage
  • Finance-approved ELPs
  • 10–25% SaaS reclamation savings
  • AI insights leadership actually trusts

That’s when SAM Pro shifts from reporting to real optimization.


Looking ahead: From data to governance

Fixing the data gets your SAM Pro engine running. But automation without data discipline only accelerates confusion. And data alone won’t carry you to full maturity.

Once the foundation is stable, the next barrier is human, not technical.

  • Who owns the data?
  • Who drives decisions?
  • Who governs exceptions, demand, and lifecycle processes?

That’s exactly what we explore in Part 2: Beyond the license - Why SAM Pro isn’t plug-and-play, and what governance has to do with it. We’ll look at why SAM Pro isn’t plug-and-play and how ownership, alignment, and simple process discipline unlock the rest of the platform’s value.

Read more in this series:

  • Part 2: Beyond the license: Why ServiceNow SAM Pro isn’t plug-and-play
  • Part 3: Why your “Unknown Software” keeps coming back, and how to fix it (to be published)
  • Part 4: Scaling ServiceNow SAM Pro across a corporate group: Tackling multi-entity complexity (to be published)
  • Part 5: How to get real value from AI in ServiceNow SAM Pro (to be published)