NewgenONE Platform
AI-driven Data Model Designer
Leverage AI-driven master data management to ensure consistency, governance, and standardization across systems, empowering users to manage data centrally for accurate insights and informed decisions.
Establish data and information consistency across channels, applications, and third-party systems through master data management. Empower users to create, manage, and delete master data tables based on their specific business requirements. Ensure centralized data management, enforce governance policies across organization, and standardize critical enterprise data for valuable business insights.
Data Model Design Capability of NewgenONE Platform
Visual Data Modelling and Management
Simple graphical interface and wizard-based mechanism for data modeling and management
Prebuilt data types, including currency, phone number, and binary, for creating data models quickly
Entity relations (ER) diagrams to provide a visual representation of complex data structures
Multi-level approvals for master data update requests, reducing errors and improving data consistency
Data Virtualization and Synchronization
Single source of truth as all the data from multiple applications and systems, including third-party data sources, is accessible from a common interface
Out of the box connectors to fetch data from multiple databases such as MySQL, SQL server, Postgres, Oracle and others
Advanced join and arithmetic operations to fetch, sort, and filter data from external database connections
Real-time synchronization of data at defined intervals for improved response times for data requests
Data Object Reusability
Importing of data objects from external systems in the form of Excel and JSON files for faster data model creation
Definition of data object templates for consistency and accuracy across portals and processes, reducing errors and increasing standardization
Exporting any data object or structure for reusability
Separation of logical data structure from the actual data source to enable reusability of logical data definition
Data Security and Encryption
Marking of data fields as read-only, mandatory, or unique to maintain consistency
Data masking and encryption for protecting sensitive user data
Detailed audit logs for monitoring security breaches, performance issues, and compliance requirements
