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Solving Fundamental Data Quality Challenges

Cover

Data quality is one of the most important requirements for IT asset management (ITAM) and IT service management (ITSM).

Proper ITAM and ITSM requires a solid foundation of good, clean data and asset information. Low quality means longer planning and implementation times while negatively impacting reporting accuracy and cost.

Find out what you need to do in the rationalization, refresh, security, automation and planning steps to improve your data quality, and your overall quality of life.

Vendor:
BDNA
Posted:
01 Jun 2017
Published:
31 May 2017
Format:
PDF
Length:
6 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.