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Veeva DQS | Data Quality System for All Clinical Trial Data | Veeva Skip to content

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Veeva DQS

Automate and Centralize Clinical Data Workflows

Veeva DQS is a Data Quality System that provides a central environment to manage all trial data, automate workflows, and orchestrate review across the clinical ecosystem. The system automatically aggregates, reconciles, and cleans data from multiple sourcesincluding EDCs, RTSM, eCOA, labs, imaging, and moreto provide a harmonized data package for downstream use.

Data managers use DQS to create and manage queries, protocol deviations, and communications with data providers across all sources. The system automates data actions, including change detection and the creation or closure of queries and protocol deviations. Cross-functional teams collaborate on data review in real-time, while oversight teams monitor study health via interactive dashboards.

Announced 2018 Status Mature Customers51-100

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Private: Veeva DQS | Clinical Database for All Clinical Trial Data

[Private: Veeva DQS | Clinical Database for All Clinical Trial Data]

Survival of The Fastest: A Practical Framework for Risk-Based Data Management

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Impact

Deliver quality data faster

75%

faster external data ingestion

90%

less effort for manual queries

50%

faster last subject last visit (LSLV) to database lock

Why Veeva DQS

Automate 50% of manual effort

Ingest and classify all trial data

Veeva and third-party sources are aggregated, classified by criticality, and harmonized to a common data model.

Orchestrate RBQM

Calculate KRIs, route risk signals, and trigger actions across study teams when thresholds are crossed.

Achieve true oversight

Monitor progress in near real-time with centralized cross-functional review tracking and dashboards to visualize status.

Rapidly export clean data

Incremental extracts are available every fifteen minutes to feed systems like statistical computing and analytics.

Customer Success

Trusted by 8 top 20 biopharmasand 3 top 10 global CROs

[Boehringer Ingelheim]

[Syneos Health]

The clean patient tracker is a powerful tool in achieving risk-based data management by visualizing all DQS data.

Valerie Balosso, Senior Director Data Strategy and Management

GSK

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Data managers can access real-time data, rather than through extracts, running a batch job, and then reviewing that data.

Trevor Griffiths, Senior Director, Clinical Data Management

Syneos Health

Watch Customer Story

The business value for Veeva DQS is in increasing efficiencies, collaborating better with teams, and ultimately getting trials done quicker.

Christopher Zajac, Senior Associate Director, Principal Capability Manager

Boehringer Ingelheim

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Interested in learning more?

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