Success Stories

Our customers say it better than we can. Discover how we’ve helped businesses across numerous sectors with data trust, inventory, privacy, compliance, and more.

Success Story

Mutual Insurance Company

Data Sentinel was hired to provide a complete inventory of PII data for a mutual insurance company in support of its data privacy compliance goals.

Success Story

Provincial Workers Compensation Board

Data Sentinel was employed by a Canadian provincial workers compensation board to assist them with a company wide data audit, to prepare all of their data for a major digital transformation.‍

Success Story

Multinational Fuel Supplier

Data Sentinel has been implemented by a major Canadian multinational fuel supplier to assist them with preparing their data set for an erp migration.

Success Story

Global Charity

A global charitable organization implemented Data Sentinel to assist them with improving the state of their data to satisfy global data privacy compliance requirements and help them to implement a data governance program.

Success Story

Healthcare Logistics

A major healthcare logistics company engaged Data Sentinel to assist in the implementation of data governance, data privacy, and data quality programs within the organization.

Success Story

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.

Success Story

Global Clothing Retailer

Data Sentinel reduced data privacy risk — ensuring all sensitive assets across this company’s structured & unstructured data systems were GDPR & CCPA compliant. In a month, risk exposure was reduced from $36M to $1.2M.

Success Story

Regional Lender

Data Sentinel audited a regional lending organization — for PII & PCI compliance & risk. We scanned all data sources, including Microsoft 365, Salesforce, & Azure SQL to ensure compliance with data privacy standards.

Success Story

A Top 10 US Financial Services Organization

Data Sentinel identified data quality anomalies for a financial service firm’s MapR data lake & Teradata environments. Our tech automated the discovery of quality rules & identified $5 billion of operational risk data errors.