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Latest Blogs


The Importance of Managing Data Quality Effectively for IT Asset Management

Let’s face it, there are many challenges and hurdles to jump over when it comes to setting up, maintaining and maturing the IT Asset Management (ITAM) service within an organisation.

What causes the biggest issue? Is it the lack of resources, processes, policies or centralised technology?

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Case Study: The Golden Record

Inacurate IT asset data can affect multiple areas of the organisation such as outsourcer billing optimisation, CMDB and ITSM controls, licence management optimisation, security and far more.

For organisations to have complete confidence in their IT asset data we recommend creating a ‘Golden Record’.

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Case Study: Outsourcer Billing Optimisation

Using a real life case study we explore the issues caused by inaccurate IT asset data within the context of Outsourcer Billing.

If IT asset data is not accurate then it could mean that assets are not being correctly billed for.

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Case Study: Configuration Management Optimisation

Using a real life case study we explore the issues caused by inaccurate IT asset data within the context of Configuration Management.

Find out how Configuration Management can be optimised and the benefits that can be realised by improving the overall accuracy of IT asset data.

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Latest Newsletter


Summer 2017 Edition

In this issue: Introducing Data Hub – a new approach to IT Asset Data Reconciliation, Data Quality whitepapers, case studies, new training dates & more!

  • Data Quality Whitepapers
  • Data Hub
  • Case Study: Configuration Management Optimisation
  • Case Study: Outsourcer Billing Optimisation
  • Case Study: The Golden Record
  • Licensing Hub
  • 25% Off Training Courses

Newsletter Summer 2017


Latest Download


IT Asset Data Quality

Written by ITAMS’ consultants, this three-part series of whitepapers looks at IT Asset Data Quality and its impact on organisations.

Available now:

Part 1: What is the Problem with Data Quality?

Part 2: What are the Benefits of Improving Data Quality?

Part 3: How do you Improve Data Quality?

Download