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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
          et-

          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
          et-

          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
          et-z

          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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