Published: 17 October 2019
Poor data quality compromises decision making, dilutes competitive standing and leads to customer distrust. To strengthen data quality practices, supply chain technology leaders must work with their data and analytics counterparts to measure quality and adopt flexible deployment models.
Included in Full Research
- Measure the Value of Data Quality by Using the Gartner Business Value Model and Linking to Business Performance Metrics
- Position Key Data Quality Roles for Most Business Impact
- Establish an Effective Data Governance Framework
- Facilitate the Data Quality Tool Deployments With the Flexible Sourcing Approach and Cloud-Based Deployment Models