Gartner Insights Abstract

7 Data Quality Focus Areas to Ensure Effective Analytics and AI

Published: 18 March 2024

Summary

Twenty-one percent of supply chain leaders cite poor data quality as the top hurdle when trying to adopt analytics and AI. CSCOs can achieve success by targeting seven focus areas to improve data quality and asking seven questions to eliminate red flags.

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Overview

Key Findings
  • Data quality is not a new challenge for supply chain organizations, yet 33% of supply chain leaders cite lack of trust/confidence in data as a top hurdle when trying to adopt analytics, according to the 2023 Gartner Harnessing Analytics ROI in Supply Chain Survey.

  • Data governance has become a catch-all term that can be used to hide specific attributes of data management, making it hard for chief supply chain officers (CSCOs) to define clear roles in ensuring data quality.

Recommendations

CSCOs seeking to improve data quality should:

  • Strengthen the organization’s ability to drive data quality by developing seven organizational attributes.

  • Examine

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Analysts:

Leonard Ammerer

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