Sancus – AI powered master data quality management

Tredence’s Sancus is an AI-powered master data enrichment product. Enterprises can leverage Sancus to clean, enrich, and consolidate their master data from multiple sources. Managing master data is a problem for most global enterprises, as data from multiple systems must be consolidated and maintained. While enterprise MDM solutions can operationalize and serve master data, they lack robust data matching, consolidation, and high-quality Golden record management.

It is difficult to maintain high-quality master data as it is generated from different data sources, stored in multiple technology systems, and has different usage patterns. Master data is used in silos by different teams, which leads to redundancies and duplicates in the system. Data issues in master data are a roadblock for enterprise-wide data engineering and data science efforts.

Sancus is designed to solve the problem of matching and consolidating master data of multiple entities such as products, vendors, suppliers, materials, and customers across retail, CPG, manufacturing, technology, and other domains.

The key features and highlights of Sancus are:

Architecture

• Sancus is designed to have a modular architecture that enables easy customization for businesses across multiple domains.
• Sancus is developed using the Spark architecture to support high volumes of data.

Language translation

• Sancus supports language translation for all the Germanic and Romanian languages.

Solution logic

• The Sancus engine supports detection and implementation of attribute imputation and normalisation rules.
• The Sancus engine is designed to support the integration of business knowledge from data stewards and business users alike.

Integrations

• Sancus supports data integration with 3rd party APIs, web scraping, and OCR-based data enrichment.

Time to value

• Accelerator-based design used in Sancus enables faster time to value. Sancus can be customized and deployed in production in 8-12 weeks.

Sancus is designed as an end-to-end master data enrichment platform, and customers typically use Sancus as the consolidation layer before their MDM solution for automated consolidation of master data.

The following AWS resources are used in Sancus deployments: Data storage: Data lake - AWS S3

Web app:

• Database: AWS RDS
• Deployment: AWS Elastic Beanstalk
• API management: AWS API Gateway

Orchestration: AWS Step Functions, AWS Glue andAWS Lambda