DATPROF
Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, database virtualization, data automation are our core business.
We see and understand the struggles of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues:
- Obfuscating, generating or masking databases and flat files;
- Extracting or filtering specific data content with data subsetting;
- Discovering, profiling and analysing solutions for understanding your test data,
- Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and
- Cloning, snapshotting and timetraveling throug your test data with database virtualization.
We improve and innovate our test data software with the latest technologies every single day to support medium to large size organizations in their Test Data Management.
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iceDQ
iceDQ is the #1 data reliability platform offering powerful, unified capabilities for Data Testing, Data Monitoring, and Data Observability. Designed for modern data environments, iceDQ automates complex data pipelines and data migration testing to ensure accuracy, integrity, and trust in your data systems. Its AI-based observability engine continuously monitors data in real-time, quickly detecting anomalies and minimizing business risks.
With robust cross-platform connectivity, iceDQ supports seamless data validation, data profiling, and data reconciliation across diverse sources — including databases, files, data lakes, SaaS applications, and cloud environments. Whether you're migrating data, ensuring ETL/ELT process quality, or monitoring live data streams, iceDQ helps enterprises deliver high-quality, reliable data at scale. From financial services to healthcare and beyond, organizations rely on iceDQ to make confident, data-driven decisions backed by trusted data pipelines.
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Data360 DQ+
Boost the quality of your data in-motion and at-rest with enhanced monitoring, visualization, remediation, and reconciliation. Data quality should be a part of your company’s DNA. Expand beyond basic data quality checks to obtain a detailed view of your data throughout its journey across your organization, wherever the data resides. Ongoing quality monitoring and point-to-point reconciliation is fundamental to building data trust and delivering consistent insights. Data360 DQ+ automates data quality checks across the entire data supply chain from the time information enters your organization to monitor data in motion. Validating counts & amounts across multiple and disparate sources, tracking timeliness to meet internal or external SLAs, and checks to ensure totals are within determined limits are examples of operational data quality.
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CIENCE GO Data
Over 140M validated business contact records strong, with daily contact record validation. It's time to GO Data! The best way to validate the accuracy of a contact record is to actually use it. As one of the largest Outbound Services companies in the world, CIENCE consumes 10s of millions of records (emails, calls) annually. This produces:
- Up-to-date records (reduces decayed data)
- Broad Company / Account data points
- Accurate Email Lists (real-world tested)
- Actual Phone #’s (confirmed dials)
The GO Data platform is built to help you configure audiences easily, creating what is known as an Ideal Customer Profile (ICP) to target. From there, GO Data offers a wide supply of contacts that match your ICP. The key to all B2B marketing lists is starting conversations with your ideal customers. CIENCE GO expertly helps identify the contacts and companies for sales to create customized business lists around.
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