Clean your dirty data to get the most from analytics

Getting Started With Data Quality

Cover

Dirty data has negative effects on many different roles in many different industries:

  • Sales and marketing professionals following inaccurate customer and prospect details
  • Supply-chain stakeholders who lack the real-time visibility needed to keep operations running smoothly
  • Physicians who need a trustworthy and complete patient history to administer effective treatment
  • Government officials who need to know what’s happening in their city or region to ensure efficient delivery of public services

Read this white paper to learn how data becomes “dirty” and - more importantly - how to fix it.

Vendor:
Information Builders
Posted:
21 Mar 2019
Published:
31 Dec 2018
Format:
PDF
Type:
White Paper
Language:
English
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