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      2. 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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