Data Cleansing & Normalization

Make effective decisions based on trustworthy data

Trustworthy data underpins the ability of organizations to make intelligence led decisions. Our service takes unstructured and low quality data from across the enterprise and cleanses it to provide context driven business intelligence.

Normalizing raw IT asset inventory data from multiple sources is the #1 challenge facing ITAM and SAM managers when it comes to creating and managing their IT asset data strategy. With most large complex organizations using multiple inventory tools, that’s no surprise and can create a major headache as your staff waste time and energy trying to consolidate multiple data sets into a single asset repository.

 

There is a better way

Livingstone’s Data Cleanse service uses a SaaS model to collect data from multiple inventory sources, clean the disparate data types and provide a common normalized view that can be used in your Software Asset Management, IT Asset Management and Service Management programs.

Our zero-friction approach to inventory collection and normalization will help you make better decisions faster, to accelerate problem resolution times and make tangible cost savings across the software estate.

  • Support SAM, ITAM & Security programs with clean normalized data
  • Reduce noise and focus on key software vendors & titles
  • Consolidate multiple inventory sources into a single reliable data feed
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Making sense of your data

Our Data Cleansing & Normailization service turns incomplete or inaccurate data into management intelligence quickly and effeciently. 

  • Publisher – no more separate listings for iterations of the same company name eg. Microsoft, Microsoft Corp, Microsoft inc
  • Application title – standardized product names and editions
  • Licensable version – focus on the commercial version, not the dot release.

 

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How it works

Our automated service includes the following key processes...

  • Data automatically collected from inventory sources
  • Incremental data uploaded to Livingstone cloud
  • Data processed, cleansed and normalized
  • Clean consolidated data presented to client via LUCE portal, output file or import into target SAM/ITAM/ITSM platform
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Sample supported inventory sources

  • Altiris
  • BMC Discovery
  • Ivanti (LANdesk & FrontRange)
  • Microsoft MAPS & SCCM
  • Snow Inventory
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