Intelligent Automation for Every Data Journey
Automating Data
Ingestion & Distribution
Ignate offers low-code workflow templates, drag-and-drop configurator, dynamic parameterization, and monitoring dashboards to automate Data Ingestion and Distribution tasks.
Automated schema discovery and change detection
Intelligently scan source structures to map fields and detect changes, generating ingestion pipelines without manual coding.
Scheduled or event-driven partner data distribution
Automate Schedule or event-triggered exports to partner systems via secure FTP, APIs, or EDI.
Safeguarding Sensitive Data
Protect sensitive data at rest and in motion, supporting privacy and security standards. Ignate offers Policy-driven security modules, key vault integration, audit logs, role-based access controls (RBAC) to ensure data is secure
Dynamic Data Masking
Data Attribute-Level Encryption
Tokenize Data Automatically
End-to-end Data Encryption
Ensuring Trusted Data Quality
Ignate’s FlowCraft enables you to architect data pipelines with built‑in quality controls—automating data‑quality checks and anomaly‑detection rules to continuously validate, monitor, and ensure the accuracy, completeness, and consistency of your data.
Schema Validation
Verify expected schemas, types, and constraints at pipeline stages.
Embedded Quality Checks
Run automated business rule validations continuously.
ML Anomaly Detection
Detect outliers, missing data, and pattern drift using AI.
Automated Remediation
Quarantine errors, auto-correct issues, and trigger alerts.
Automate Regulatory Compliance & Governance
Ignate’s governance dashboard, audit trails, metadata catalog, and role‑based policy assignments provide automated oversight, ensuring that all data processes comply with both internal policies and external regulations.
Policy Orchestration
Centralized repository for data governance policies with automated enforcement in pipelines.
Lineage & Metadata Management
Auto-capture data provenance, transformations, and dependencies for audit and impact analysis.
Smart Archival & Auto-Purge Workflows
Automate lifecycle management of data, retaining what’s needed and purging obsolete data.
Automated Retention Rules
Define retention periods by data type, source, or business domain, and automatically enforce deletion or archiving accordingly.
Archive Retrieval Workflows
Automatically streamline the retrieval of archived datasets by configuring triggers, schedules, or on-demand requests.
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