Per Gartner, "Supply chain technology leaders using advanced analytics need to understand and ensure the quality of the data in order to make decisions based on accurate information."
This guide will help you and your organization:
Determine what defines data quality and what data elements are most critical to your use cases
Evaluate and compare real-time transportation visibility platform (RTTVP) vendor options
Improve the data quality provided by your RTTVP solution and create additional business value
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"Many companies want to leverage the data and insights from their real-time transportation visibility platform (RTTVP) to assist with upstream and downstream decisions. However, the quality of the data and predictions must be vetted in order to ensure accuracy in those decisions.
Users often do not take data quality into account as a key requirement when selecting a vendor for their transportation visibility solution.
Most organizations do not measure the quality of their transportation visibility data on an ongoing basis, so they do not know how or where to improve it. Those that do normally address data quality issues reactively, so they have no effective way to prevent problems."
How to Measure, Monitor and Improve Data Quality in Transportation Visibility - Carly West, Bart De Muynck, November 8, 2021. Gartner® is a registered trademarks of Gartner®, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Gartner® does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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