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"Better data means better decisions. Trillium Software is the first data quality software provider to validate data that enables organizations to chart a buyer's path to purchase," said Phil Galati, Chief Executive Officer at Trillium Software. "In addition, timely risk mitigation, fraud detection and compliance are vital capabilities for sustaining competitive advantage in the retail, consumer products, and financial services industries. Trillium Big Data is the second in a series of planned new product launches for Trillium Software in 2015 which will help organizations increase the value of their data."
Big Data is meaningless to an organization if it is inaccurate, incomplete and inaccessible. Trillium Big Data, powered by the Trillium Software System, enables organizations to perform a complete set of data quality capabilities including profiling, validation and enrichment in a Hadoop environment. The solution helps organizations prepare data sets for predictive and prescriptive analytics.
"Trillium now offers a specific solution with a strong level of direct integration with Hadoop to help you derive business value from high volume data sets to uncover new business insights across your global Hadoop environment," said Keith Kohl, vice president, product management at Trillium Software. "With Trillium Big Data, the newest analytic techniques like machine learning and identity stitching are fully supported. As a result, the value of Big Data is improved by providing seamless, scalable and powerful data quality capabilities to current Hadoop environments while also architecting Trillium Big Data for the future for new execution frameworks such as Spark and Tez."
With Trillium Big Data, business professionals who need more insight and visibility into the quality of data pooled in Hadoop will be able to:
Build the best view of their global customer base by creating comprehensive single customer views and gaining actionable customer insights to improve the customer experience;
Align Big Data to business goals and bring new data insights to current business objectives;
Uncover data details and valuable information by profiling and analyzing multi-domain data to identify buying behaviors, areas of improvement and application results;
Maximize the value of their Big Data investments and optimize operational efficiency to minimize cost/time spent on data remediation while maintaining high-performance data processing and analytics;
Cleanse international datasets with support for data cleansing and matching with postal and country-code validation and enrichment natively within the Hadoop environment.
