Reliable asset data is the foundation for automation, AI, security, and financial control. IDC’s research shows multiple functions—ITOps, security, finance, procurement, DevOps/SRE—depend on ITAM data, and that organizations are prioritizing accuracy to unlock automation and AI at scale.
What you'll learn
- The asset types modern IT must manage (hardware, software/SaaS, cloud, data center, containers, mobile—and more).
 - Why cross-functional teams rely on ITAM data, with application and site reliability ranked among the top benefits.
 - How accurate, shareable data underpins business continuity, cost control (including cloud and licensing), and compliance.
 - Where automation and AI initiatives stall (33% cite the need for more reliable data to automate; 33% cite challenges sharing data across teams).
 - Practical ways to improve data quality and reduce data drift.
 
Download the IDC Spotlight Paper.
Hear It from Real-Life IT Leaders (Webinar Highlights)
Your peers tie tangible outcomes to cleaner data
- Real-time visibility before automation: Amy Doucette (VP of Technology and Digital Transformation, MVM) explains why they couldn’t safely patch or manage mobile devices until they had real-time asset visibility.
 - Patching moved from ~70% to 90%+: Vishal Gupta (CIO & CTO, Lexmark) describes how inaccurate CMDB data capped Mac patching at ~70% and how accuracy pushed it above 90%.
 - License savings: Accurate usage data enabled the retirement of 500 unused Microsoft E5 licenses—saving hundreds of thousands annually.
 - Security posture & cost of risk: Clean, complete asset data contributed to industry-leading BitSight scores and even lower cyber insurance premiums.
 
Watch The ITAM Data Foundation for AI, Automation, and Security webinar.
Why This Matters Now (IDC Takeaways)
- Business continuity & reliability: Improving app/site reliability and mean time to detect/resolve are high-ranking benefits of reliable asset data.
 - Cost control: Better visibility reduces overbuying and helps track software/cloud costs against projects and outcomes.
 - Automation & AI: AI agents and automated workflows require accurate, trustworthy data—or they fail to deliver.
 
How Oomnitza Helps
- Normalizes any asset type—hardware, software/SaaS, cloud, and data center—via 1,500+ turnkey connectors.
 - Writes back to systems to reduce manual copy and paste work and keep sources in sync.
 - Offers no-code workflows to act on insights (e.g., lock a device, open a ticket) and object-centric modeling to understand relationships and change impact.
 - Outcome: Customers achieve high data accuracy and share a single, trusted foundation across teams, enabling automation, audit readiness, and measurable cost savings.
 
Download your copy of the IDC Spotlight Paper to see why robust ITAM is the key to powering clean, trusted data.