Data Quality
Data Quality focuses on ensuring the accuracy, consistency, and reliability of data used in business intelligence. This subcategory provides tools to monitor, validate, and improve data integrity across various platforms.
23
technologies
7,832
companies
List of companies using Data Quality
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"tech_filters\": {
\"technology_category_slug_or\": [
\"data-quality\"
]
}
}"
Employees2.3kRestaurants
SiffletHigh confidence
Employees741Business Consulting and ServicesSegmentHigh confidence
Employees69kBusiness Consulting and ServicesSegmentHigh confidence
Employees8.6kRevenue$2.8BSoftware DevelopmentSegmentHigh confidence
Employees1.6kRevenue$17MSoftware DevelopmentSegmentHigh confidence
Employees28kRevenue$20BMedical Equipment ManufacturingETQ RelianceHigh confidence
Employees91kRevenue$32BSoftware DevelopmentSegmentHigh confidence
Employees5kRevenue$363MFinancial ServicesSegmentHigh confidence
Employees1.1kHospitals and Health CareSegmentHigh confidence
Employees17kRevenue$14BSoftware DevelopmentSegmentHigh confidence
We have data on 7.8k companies and users that use Data Quality. Our Data Quality users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Frequently asked questions