Enterprise Data Foundation
Each module is built to solve a specific data management challenge — from synchronization to compliance to quality control.
Connect ERP, CRM, and legacy databases to a single master data hub. Real-time sync eliminates duplicate records and ensures every department works from the same source of truth.
Define ownership rules, approval workflows, and access permissions per data domain. Automated alerts flag policy violations before they affect downstream reporting.
Machine learning profiles profile every incoming record for completeness, accuracy, and consistency. Custom thresholds trigger cleansing workflows without manual intervention.
Match and merge customer, product, and supplier records across silos. Deduplication rules use fuzzy logic to catch near-duplicates that standard joins miss.
Pre-built mappings for GDPR, CCPA, and SOX requirements. The module generates data lineage reports and retention schedules to satisfy internal and external audits.
Centralized master data hub with real-time synchronization across ERP, CRM, and legacy databases. Includes role-based access, automated data quality scoring, and full audit trail for governance compliance.
Policy-driven stewardship with workflow automation, violation alerts, and pre-built templates for GDPR, CCPA, and SOX. Centralized dashboard for policy adherence monitoring and compliance reporting.
Machine learning-based profiling, anomaly detection, and correction suggestions. Custom quality metrics, deduplication rules, and real-time monitoring dashboards integrated with DataSync Core.
Each package can be deployed independently or combined for full enterprise master data management. Contact our team for a tailored implementation plan.
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Straightforward answers about master data synchronization, governance policies, and data quality monitoring across your enterprise systems.
DataSync Core provides pre-built connectors for major ERP and CRM platforms, including SAP, Oracle, Salesforce, and Microsoft Dynamics. The integration uses REST APIs and batch synchronization jobs that run on a configurable schedule. Each connector validates incoming data against your master data model before committing changes, ensuring no duplicate or conflicting records enter the system.
You can define policies for data ownership, access control, retention periods, and approval workflows. For example, you can require manager approval before any change to customer master records, or automatically flag supplier data that hasn't been reviewed in 90 days. The module logs every policy action and generates a compliance report for auditors.
The analyzer runs automated profiling on each data source, comparing field values against expected patterns, ranges, and reference tables. It uses statistical models to identify outliers, missing values, and format inconsistencies. When an anomaly is found, it suggests a correction and can either apply it automatically or queue it for manual review, depending on your configured threshold.
Yes. The Data Quality Analyzer lets you define custom metrics using a simple rule editor. You can set thresholds for completeness, accuracy, consistency, and timeliness per data domain. For instance, you can require that supplier tax IDs match a specific format and that no more than 2% of records fail validation per month. Custom metrics appear on the monitoring dashboard alongside built-in scores.
The module includes pre-built templates for GDPR, CCPA, SOX, and HIPAA. Each template maps regulatory requirements to specific policy controls, such as data subject access requests, consent management, and retention schedules. You can also create custom templates for internal standards or industry-specific regulations like PCI DSS or FISMA.