Trillium Refine seamlessly combines innovative data preparation and data quality capabilities so that business users can easily access, prepare, improve, link, and enrich high-volume, disparate data. The solution’s open architecture automatically moves refined data to analytics and visualization platforms, eliminating the need for manual data exports. Available on-premise or in the cloud, Trillium Refine provides:
§ Universal data connectivity: gain native access to any data type and data source, including RDBMS, Hadoop data stores and NoSQL, file formats, web logs and apps, cloud sources, social media data, and more
§ Machine learning and recommendation engine: uncover unique data relationships and correlate data sets once difficult to access or analyze that makes recommendations and learns over time
§ Global data quality and matching: parse, standardize, match, and enrich worldwide data to ensure completeness, create single entity views, validate location data, and add reference data
§ Native Hadoop processing: Big Data processing frameworks, including Hadoop and Spark, accelerate data integration and refinement without any programming or coding required
“As business leaders are under increased pressure to make real-time business decisions, they must embed data quality into data preparation and analytics processes in order to accelerate time to value of their Big Data initiatives,” said Keith Kohl, vice president of product management, Trillium Software. “By combining industry-leading data preparation and data quality capabilities, Trillium Refine optimizes data preparation by automatically refining business information for specific business needs and enabling business users to get to data analysis and visualization to enable faster decision making.”
