IT Management Data Quality

Accuracy to Make the Best Decisions

Analysis is only valid if you trust the data. For businesses and organizations trying to cope with multiple IT and business asset data stores (contracts, CMDBs, HR information, etc.), they face the challenges of dealing with multiple permutations and data issues including:

  • Misspellings and typos (e.g. "Albuquerque," "Albuquerqe," "Albaquerque")
  • Inconsistent referencing (e.g. "Acme," "Acme Corp.," "Acme Corporation")
  • Invalid data
  • Too much or too little data
  • Inconsistent data

The Blazent platform provides a customizable, repeatable framework for intelligently integrating, cleansing, and normalizing distributed information to create a holistic, actionable business-IT repository. Using proven administration tools and workflows to streamline the processes, Blazent ensures optimal and ongoing data quality for the most accurate analysis. In addition, business analysts and system administrators can quickly perform reconciliation of conflicting data as well as adjust merge rules across sources.

For on-going quality improvement, Blazent's comprehensive data quality methodology includes a trouble-ticket assisted workflow for identifying, mitigating, resolving and validating data issues as they’re found. Administrators can also use Blazent to put questionable data "on hold" until problems are corrected to mitigate bad data’s effects on the final analysis.


 

 

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