FEATURES
                    fa-

                    Data Cleansing

                    Data standardisation & AI/ML led data cleansing
                    et-

                    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
                    fa-

                    Data
                    Quality

                    ML based automated anomaly detection for hierarchies, categorical and numeric data types
                    fa-

                    Data
                    Oversight

                    ML based ongoing data management to ensure continuous data quality management
                    fa-

                    Data Quality

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

                    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
                    et-

                    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)
                    fa-

                    Feedback Loop

                    Active Learning based feedback module allows business users to pass feedback and augment the algorithm’s results if required
                    et-i

                    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
                    et-

                    Customer MDM with Cognitive RPA

                    Enabling a unified and cleansed customer master across the enterprise by integrating multiple CRM systems
                    et-

                    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
                    fa-

                    Product Attribute Enrichment with Computer Vision

                    ML tools & algorithms to extract attributes from images of multiple formats and enrich existing product attribute master data
                    fa-

                    Vendor Data Quality Management

                    Enabling unification of vendor database through cleansing, hierarchy & data quality management
                    et-

                    Material Master Data Management

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

                    Start a Conversation

                    Drop us a note through this form and we’ll get back to you as soon as we can.

                    Contact US

                    免费观看成年午夜视频