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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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