List of DQLabs Platform Customers
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United States
Since 2010, our global team of researchers has been studying DQLabs Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased DQLabs Platform for Data Management Platform from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using DQLabs Platform for Data Management Platform include: City of Tacoma, a United States based Government organisation with 4300 employees and revenues of $1.33 billion, United Community, a United States based Banking and Financial Services organisation with 2979 employees and revenues of $901.0 million, City Of Spokane United States, a United States based Government organisation with 1100 employees and revenues of $75.0 million and many others.
Contact us if you need a completed and verified list of companies using DQLabs Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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City Of Spokane United States | Government | 1100 | $75M | United States | DQLabs | DQLabs Platform | Data Management Platform | 2023 | n/a |
In 2023, City Of Spokane United States implemented DQLabs Platform as a Data Management Platform to consolidate public-safety and city-planning data and to provide a single point of data discovery and quality control for municipal reporting. The deployment targeted government and public-safety reporting use cases and master data consistency across city departments responsible for planning and emergency services.
The DQLabs Platform was configured to run Data Discovery and Data Quality features to eliminate duplicate records, improve data accuracy, and enable trusted analytics. Implementation activities documented in the case study included data profiling, automated deduplication workflows, standardization governed by rules, and authoritative record identification to enforce master data consistency for public-safety and planning datasets.
Operational coverage centered on city planning and public-safety business functions, with cleansed and consolidated data feeding downstream reporting and analytics used by municipal teams. Governance was reinforced through formalized data quality rules and discovery-driven remediation processes to sustain trusted analytics. The vendor case study reports an approximately 80% decrease in duplicates and reduced total cost of ownership following the DQLabs Platform implementation.
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City of Tacoma | Government | 4300 | $1.3B | United States | DQLabs | DQLabs Platform | Data Management Platform | 2023 | n/a |
In 2023, the City of Tacoma implemented DQLabs Platform, a Data Management Platform, to provide data discovery, cataloging, and data quality capabilities for Tacoma Public Utilities. The deployment focused on operations and reporting use cases to improve reporting and analytics and reduce time spent on data issues. It explicitly integrated Snowflake and MS SQL sources as primary data inputs.
The implementation configured DQLabs Data Discovery and Data Quality capabilities to inventory datasets, build a searchable data catalog, and apply automated quality validation across reporting pipelines. Functional workflows included automated profiling and rule based validation to detect anomalies and flag data issues for triage. This configuration supported standard operational reporting workflows and data stewardship tasks.
Integrations were limited to the specified Snowflake and MS SQL sources and fed the DQLabs Platform catalog and quality engines, ensuring source to report traceability for analytics teams. Operational coverage centered on the Tacoma Public Utilities data team and reporting stakeholders within the City of Tacoma, aligning the Data Management Platform with business analytics and operational reporting functions.
The case study documents roughly a 10 percent improvement in reporting and a 70 percent reduction in the data team’s time spent on data issues after the DQLabs Platform deployment. The platform was used to reduce manual troubleshooting and accelerate issue resolution for operational reporting, while cataloging and quality controls became central to ongoing data operations.
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United Community | Banking and Financial Services | 2979 | $901M | United States | DQLabs | DQLabs Platform | Data Management Platform | 2023 | n/a |
United Community implemented DQLabs Platform in 2023 to centralize data quality and proactive monitoring for regulatory reporting and enterprise analytics. The deployment is categorized as a Data Management Platform and centers on establishing a single control plane for data trust and observability across the bank's reporting and analytics pipelines.
The implementation leverages DQLabs Platform capabilities aligned to data observability and data quality, drawn from the bank’s public presentations and vendor materials. Configuration emphasized automated monitoring, anomaly detection and rule based quality checks, with dashboards and alerting to surface issues upstream of regulatory reporting and downstream analytics consumers.
Operational scope explicitly targeted banking regulatory reporting and enterprise data governance, with data leadership, compliance, and enterprise analytics teams engaged in the program. Governance workstreams reorganized around centralized monitoring, standard quality rules and cross functional escalation processes to ensure data issues are triaged by reporting and analytics owners rather than ad hoc teams.
United Community’s data leadership publicly presented their DQLabs driven data trust journey at industry events, signaling internal adoption and an emphasis on institutionalizing data governance practices. The DQLabs Platform functions as the central Data Management Platform for observability driven quality controls that feed governance workflows and reporting pipelines.
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