Data Rationalization Dashboarding for IT Asset Management
Learn how data rationalization transforms fragmented ITAM data into decision-ready dashboards.
Most ITAM dashboards fail not because of poor visualization, but because the underlying data was never rationalized. With assets spread across discovery tools, CMDBs, endpoint platforms, cloud, and identity systems, conflicting data quickly erodes trust and undermines decision-making.
In this private session, we’ll explore why data rationalization must come before dashboarding and how standardizing, reconciling, and aligning ITAM data enables trusted, analytics-ready insights. Rather than focusing on tools or charts, this discussion centers on the data foundations required to produce dashboards that stand up to audits, stakeholders, and executive scrutiny.
Key takeaways will include:
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Why ITAM dashboards fail when data rationalization is skipped
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How conflicting discovery, CMDB, and identity data undermines trust
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What “data rationalization” really means in an ITAM context
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The critical data dimensions that must be standardized before reporting
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How to design dashboards that consume trusted data — not attempt to fix it
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How rationalized ITAM data supports cost, risk, and executive decision-making
More about Anglepoint Private Webinars:
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Levi Lutz is a Senior Manager of Data Intelligence with nearly two decades of experience. He has worked at the intersection of IT Asset Management (ITAM) and data-driven strategy, helping organizations turn complex IT data into clear, actionable intelligence. He is passionate about connecting ITAM with analytics, data science, and AI to strengthen decision-making, governance, and cybersecurity.