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FEATURES
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Data Cleansing

Data standardisation & AI/ML led data cleansing
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Data
Enrichment

Enrichment from unstructured data sources, proprietary and 3rd party sources
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Hierarchy
Management

Automated hierarchy mapping & ML based master data categorization at scale
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Data
Quality

ML based automated anomaly detection for hierarchies, categorical and numeric data types
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Data
Oversight

ML based ongoing data management to ensure continuous data quality management
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Data Quality

Data Standardization, Cleansing, De-dupe and golden record creation wired to an interactive dashboard with configurable data quality metrics
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Data Validation

Global address validation & correction using postal directories and 3rd party APIs. Contact/lead email and phone number verification
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Data Enrichment

Customer/contact enrichment through 3rd party partnerships. Product/material enrichment through web scraping, image processing, unstructured data analysis
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Hierarchy Management

Customer/vendor hierarchy validation, creation and management through 3rd party partnerships. ML algorithms for product/material hierarchy assignment at scale (including GPC/GS1 migration)
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Feedback Loop

Active Learning based feedback module allows business users to pass feedback and augment the algorithm’s results if required
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Data Governance

Ensure on-going data is kept clean by managing Stewardship, policies etc. Individual modules for metadata management, data quality dashboards/metrics and more
IMPLEMENTATION
Sancus has been implemented for various master data types enabling transformation across the business value chain
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Customer MDM with Cognitive RPA

Enabling a unified and cleansed customer master across the enterprise by integrating multiple CRM systems
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Product Hierarchy Management at Scale

Enabling development of product master data by standardizing taxonomy and cleansing data from different suppliers/retailers
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Contact MDM with External Data

Enabling better marketing effectiveness through cleansing and 3rd party data enrichment of contact data systems
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Product Attribute Enrichment with Computer Vision

ML tools & algorithms to extract attributes from images of multiple formats and enrich existing product attribute master data
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Vendor Data Quality Management

Enabling unification of vendor database through cleansing, hierarchy & data quality management
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Material Master Data Management

Enabling unification of material level master data through cleansing, hierarchy & data quality management
DEMO VIDEO

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