Trustworthy Data in IT Asset Management: A Guide for Decision Makers
Why trustworthy IT asset data matters
When decision-makers can’t trust the underlying data, reporting becomes less reliable, risks are harder to assess, and opportunities for optimization may remain hidden.
What you will learn in this whitepaper
Learn how to transform fragmented asset records into trustworthy information that supports IT governance and business objectives.
Inside the whitepaper, you will find:
- What trustworthy data means in the context of IT Asset Management
- How raw data is transformed into information and actionable knowledge
- A six-step approach to establishing and maintaining trustworthy data
- Five requirements for reliable data normalization
- Six measures for assessing IT asset data quality
- How to manage stakeholder access and present relevant results
- A practical Microsoft 365 optimization scenario
- How automation and machine learning support continuous data quality
How does data become trusted knowledge?
The whitepaper uses a three-stage model to explain how raw asset data becomes valuable to decision-makers:
Data: Complete
Collect the relevant facts from across the IT environment, including physical, virtual, cloud, SaaS, user, and commercial sources.
Information: Accurate and available
Process, combine, and normalize the data so that it has a consistent structure and can be accessed by authorized stakeholders.
Knowledge: Understood and relevant
Present the information in the context each stakeholder needs, turning technical records into insights that support security, cost, compliance, and operational decisions.