North American University

Data Sentinel has been implemented by a large North American university as they were undergoing a major digital transformation initiative which included the urgent need to modernize their CRM.

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Data Sentinel has been implemented by a large North American university as they were undergoing a major digital transformation initiative which included the urgent need to modernize their CRM. 

Known for our speed of deployment and accuracy, Data Sentinel was brought in to quickly identify overall data quality issues such as duplicate records, multiplicity, data completeness and other data related challenges prior to the migration over to the new platform. 

The solution included the evaluation of the data across the university identifying any and all data quality anomalies. 

Our technology produced high value outputs and recommendations to remedy and improve the data set so it could safely be migrated to the new CRM technology in a clean, correct, and compliant manner. 

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May 25, 2022

North American University

Data Sentinel has been implemented by a large North American university as they were undergoing a major digital transformation initiative which included the urgent need to modernize their CRM.

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Date:
Hosted By:
Register Now

Data Sentinel has been implemented by a large North American university as they were undergoing a major digital transformation initiative which included the urgent need to modernize their CRM. 

Known for our speed of deployment and accuracy, Data Sentinel was brought in to quickly identify overall data quality issues such as duplicate records, multiplicity, data completeness and other data related challenges prior to the migration over to the new platform. 

The solution included the evaluation of the data across the university identifying any and all data quality anomalies. 

Our technology produced high value outputs and recommendations to remedy and improve the data set so it could safely be migrated to the new CRM technology in a clean, correct, and compliant manner. 

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