TIBCO® DQ

Data Quality Software

Make better decisions with better data

With AI-assisted workflows, and a knowledge hub of reusable components for profiling, validating, and fixing enterprise data elements, TIBCO® DQ software engages both business and technical users. It consistently improves the quality of data anywhere it enters your landscape, via online apps, data streams, message queues, and batch interfaces. Use the TIBCO® DQ solution as a standalone product, or take advantage of its web APIs to improve the effectiveness of your downstream integration, migration, BI, analytics, AI/ML, and MDM efforts.

What is Data Quality?

Data quality describes the degree to which data fits the purpose it was intended for. Data is considered high quality when it accurately and consistently represents real-world entities and scenarios.

Benefits
Improve MDM Results

Improve MDM Results

Increase the effectiveness of matching algorithms and the accuracy of your golden records by profiling all contributing data sources to recommend validation and cleansing rules that can be applied in your MDM ingestion workflows.

Maintain Quality as You Evolve

Maintain Quality as You Evolve

Avoid costly overruns using advanced profiling, cleansing, and standardization capabilities as you upgrade to a new SaaS suite, move on-premises applications to the cloud, restructure data warehouses, or add new capabilities between applications.

Reduce the Data Prep Burden

Reduce the Data Prep Burden

Consistently cleanse, standardize, deduplicate, and enrich raw data sources, providing business-ready datasets that drive all human and automated business decisions.

Consistently Enforce DQ Standards

Consistently Enforce DQ Standards

Improve accuracy, reduce maintenance, and govern efficiently by implementing a data quality firewall. With a catalog of re-usable APIs, you can consistently verify, correct, and enrich data right at the point of entry.

Capabilities
Profiling & Classification

Profiling & Classification

Detect missing, duplicate, and incorrect values with AI-assisted profiling. Automatically classify data elements, suggest pre-built validation and cleansing rules, and identify sensitive data impacting regulatory compliance.

Intuitive Web UIs

Intuitive Web UIs

Engage citizen users with simple web-browser UIs to profile datasets, accept or replace automatically suggested DQ rules from the rules catalog, and execute detailed rules for data quality analysis.

Developer Toolkit

Developer Toolkit

Enable technical users with a platform of data quality tools and services, including a library of pre-configured components and a rich set of parsing, cleansing, and enrichment functions to customize workflows that can be exposed as reusable web services.

Auto-correction

Auto-correction

Apply rules-driven workflows from a central knowledge hub that consistently and automatically detect, cleanse, and enrich data elements across business domains.

Monitoring

Monitoring

Store the results of data quality routines to measure data asset health, track data quality KPIs over time, and quickly identify anomalies.

Seamless Integration

Seamless Integration

Improve the quality of enterprise applications with scalable web APIs that easily integrate with the DQ engine and knowledge hub for profiling, classification, and cleansing rules.