To power your Big Data initiatives with valuable business information, you need an innovative data quality solution that can manage the full scope of your organization’s data today and in the future.

Trillium empowers you to rapidly derive business value from high-volume disparate data sets by deploying a scalable, multi-domain data quality solution across global data in your Hadoop environment in 90 days or less.

TS Quality for Hadoop is built upon innovation and expertise that has led the data quality market for over 20 years. Architected to run natively in Hadoop, TS Quality for Hadoop ensures all of your business information is integrated, fit-for-purpose and accessible across the enterprise.

Read: Big Data & The Data Quality Imperative

With TS Quality for Hadoop You Can:

Optimize the View of Your Global Customer Base
Create more comprehensive customer views to better detect fraud, personalize customer experiences, deploy targeted marketing campaigns and improve business processes

Maximize Your Big Data Investment
Power machine learning initiatives and analytics platforms with reliable, fit-for-purpose data that supports timely, accurate business decisions

Increase Operational Efficiency
Minimize time spent on downstream data remediation efforts and maintain high-performance processing as volumes and variety of data increase

Accelerate Time to Value
Repurpose your existing Trillium Software data quality processes, workflows and business rules to maintain the same enterprise data quality standards in Hadoop

Easily Create Hadoop Data Quality Workflows

The easy-to-use platform let’s you build workflows and test and modify data quality processes prior to deployment into an operational environment. Integrate, parse, standardize, cleanse, and match new and legacy customer and business data from multiple disparate sources. Cleanse and match international data with postal and country-code validation and enrichment.

Easily extend existing TS Quality workflows and deploy them natively to Hadoop, ensuring consistent data standards across the enterprise. Prebuilt workflows within the platform can be configured and customized to meet your specific business requirements.

Once a data quality workflow is ready for operational use, it is easily invoked using standard Hadoop job management and scheduling tools, ensuring consistency with existing operational procedures. TS Quality for Hadoop configures the workflows as MapReduce steps that run in parallel across all nodes in your Hadoop cluster, ensuring maximum speed and operational efficiency.

Key Features

  • Parse data values to their correct fields
  • Standardize values to corporate standards
  • Verify global addresses, match and enrich postal data, using global postal reference sources
  • Improve the quality and completeness of customer information
  • Match like records and eliminate duplicates
  • Enrich data from external, third-party sources to create comprehensive single “golden” records
  • Identify records that belong to the same domain (i.e., household or business)
Download the Data Sheet
Share This Post: