Modern enterprises increasingly rely on seamless integration across diverse systems to remain competitive. However, managing fragmented data in poor quality, inconsistent workflows, and compliance demands presents a significant challenge, particularly as businesses adopt more SaaS solutions and accelerate process automation. These issues often lead to inefficiencies, higher operational costs, ineffective decisions, and regulatory risks.

In another article, we examine the relationship between data quality and governance and how they form the foundation for successful integrations.

This guide discusses how Celigo’s advanced data quality and governance features work together to ensure reliable, scalable, and efficient integrations.

AI-powered error management

Using ML-driven anomaly detection, Celigo’s AI-powered error management (also referred to as exception management) achieves a 95% error resolution rate and processes 500 million errors monthly. It saves customers an average of 10 hours per week and empowers business technologists to manage errors, reducing reliance on specialized IT developers.

Key features include:

• AI error classification: The AI engine, using machine learning and trained on billions of error records, categorizes errors into two sub-cateries: the first one is around data exception (including value, missing, too large, parse, and duplicate); and the second one is around system exceptions (including connection, intermittent, rate limit). It can also recognize errors from any API, including custom ones.
• Automatic recovery: Reduce downtime by autonomously detecting and resolving errors, such as rate limit issues, without requiring user intervention.
• Error tagging, filtering, and sorting: Enhance team coordination by enabling quick identification, prioritization, and resolution of critical issues, directing them to the appropriate team members based on governance policies.
• Human-in-the-Loop (HITL) mechanisms: AI outputs are validated by users when needed, reducing risk​​.

Read more about Celigo’s AI error management and AI use cases and benefits of iPaaS integration.

Data transformation and cleansing

Celigo offers a robust suite of data transformation and cleansing features designed to ensure consistency, quality, and reliability across integrations. They result in fewer errors, high-quality data, faster time-to-value, and improved collaboration between IT and business teams.

Celigo’s data transformation features

• Expression editor: Provides prebuilt functions (e.g., regex, date formatting) and supports JavaScript for flexible customizations, maximizing efficiency and flexibility. 
• Automated mapping: Use AI to automatically match fields and objects between systems, accelerating flow development and minimizing manual effort.
• Emulated mapping forms: Display application-native views for easier data comprehension and allow the creation of custom forms to enhance collaboration.
• Lookup cache: Store reference data, such as codes or IDs, for frequent use, enabling fast and consistent transformations. 
• Rows and record transformations: Use AI to transform multiple rows into structured records, breaking down single records into multiple rows, converting rows into different formats or structures, and modifying specific fields to generate new records. This enables faster and more efficient integration workflows.

Celigo’s data cleansing features

• Validation rules: Ensures real-time data integrity by configuring validation rules, flagging invalid data and routing it to error management for resolution.
• Data enrichment: Completes or corrects missing values using lookups and applies transformations to address incomplete or improperly formatted data.
• Data partitioning and pipelining: Handles large data volumes with parallel processing, reducing latency and improving throughput for consistent results.

These capabilities empower organizations to confidently manage and transform their data for any integration, achieving operational efficiency and data integrity. 

Privacy, retention, and security

Celigo’s features on security, privacy, and retention cater to global organizations with diverse integration and governance needs. Our iPaaS platform is flexible, secure, and compliance-ready, as evidenced by the following features:

• Data masking: Leverage the Stanford JavaScript Crypto Library (SJCL) to enable data masking through algorithms like SHA256, ensuring sensitive data remains secure during processing. Mask sensitive fields, such as passwords and tokens, in logs and previews by replacing them with “*******” notation to prevent clear-text exposure.
• Data residency: Support multiple data residency locations: U.S. (AWS East, Virginia), EU (Hamburg, Germany), APAC (Hyderabad, Sydney) for public cloud and 20+ locations for Private Cloud. This geographic flexibility ensures compliance with regional data sovereignty laws and offers clients the ability to optimize latency and data security by choosing local data storage locations.
• Data retention and archiving: Automate retention policies to meet compliance requirements. Archive audit trails and inactive records securely for long-term access. Securely archive audit trails and inactive records for long-term access.

These capabilities facilitate regulatory compliance, ensure secure historical record management, and enhance operational auditability, which is critical for governance and risk mitigation.

• Data security and privacy certifications: These include certifications and readiness for SOC 2 Type 2, GDPR, CCPA, FERPA, Nevada 603A, and the NY SHIELD Act, with support for FedRAMP-certified infrastructure. The benefits include robust security and privacy assurances, which are especially attractive for industries with stringent regulatory requirements (e.g., healthcare, education, finance, and governments).
• Secured connectivity: For on-premises, we use a secure agent with HTTPS connectivity, authentication tokens, and IP whitelisting for database and application connections. For public and private clouds, user-configured protocols are used. Celigo offers secure and adaptable connectivity solutions across deployment environments, ensuring seamless integration without compromising security.
• Encryption: Protects data in transit using TLS 1.2+ and at rest with AES-256 encryption, ensuring robust security.

Data lineage and metadata management

Celigo’s data lineage and metadata management capabilities streamline operations by providing robust tools for lineage tracking and automated metadata management.

These features offer visibility, transparency, accessibility, and accountability across your data ecosystem.

Celigo’s data lineage key features

• End-to-end visibility: Understand data’s origins, transformations, and destinations as it moves through integrations.
• Compliance: Simplify regulatory reporting with detailed insights into how data flows and changes over time.
• Enhanced troubleshooting: Quickly identify and resolve issues with a clear view of dependencies and transformation steps.

Key features of Celigo’s metadata management are listed below:

• Streamlined metadata acquisition: Efficiently acquire and catalog metadata to support comprehensive data governance.
• Consistency across workflows: Maintain uniformity and visibility of metadata across all integrations, reducing errors and improving accuracy.
• Ease of maintenance: Automate the upkeep of metadata, allowing teams to focus on strategic tasks instead of manual data management.

Role-based access control (RBAC)

Celigo’s RBAC ensures secure and efficient data integration by providing fine-grained access control, enhancing compliance, and safeguarding sensitive information.

• Flexible roles: Offer predefined roles (Monitor, Manager, Administrator, Owner) with customizable permissions to fit unique integration needs, improving security and minimizing unauthorized access.
• Identity integration: Supports SAML and OpenID Connect for seamless role and permission inheritance, simplifying access management and reducing administrative effort.
• Automated compliance: Enforces governance policies aligned with GDPR and CCPA etc., managing access to sensitive data and workflows.

With Celigo’s RBAC, businesses achieve secure, scalable integration workflows, ensuring compliance and reducing operational risks.

Real-time monitoring and alerts

Celigo’s real-time monitoring and alert features provide transparency into integration flows, enabling proactive issue resolution, enhanced governance, and seamless scalability as data volumes grow.

Key features include:

• Real-time flow monitoring: Track flow status, performance, and errors through interactive dashboards.
• Error detection & classification: Utilize AI to identify issues and automatically route them to exception management.
• Transaction tracking: Provide unique trace IDs for comprehensive, end-to-end auditing.
• Stateful retry & recovery: Automatically retry failed processes to minimize disruption.
• Notifications and alerts: Provide real-time notifications for errors and data discrepancies. Organizations can assign alerts according to error type (e.g., FTP-related) to specific personnel, ensuring rapid response to data quality issues.

Celigo’s real-time monitoring capabilities empower businesses to manage and scale their integrations while maintaining operational excellence confidently.

Prebuilt integration templates

Celigo’s prebuilt integration templates, based on industry best practices, accelerate workflow creation and reduce data errors. Organizations have achieved significant benefits from using these templates, including faster time to value, improved data quality, and enhanced scalability.

Key features include:

• Extensive library: Offer templates for common business processes like Order-to-Cash and Quote-to-Cash, as well as industry-specific workflows (e.g., EDI, ERP, and CRM integrations). These templates include proven logics, data element semantics, and their relationships.
• Rapid deployment: Templates build in engineering and governance best practices, enabling quick setup, use, and management.
• Customizable: Users can adapt templates to meet specific business needs, by modifying rules and flows, without starting from scratch.
• Seamless compatibility: Work across a wide range of applications, including NetSuite, Salesforce, Shopify, and Microsoft Dynamics, with integration and data quality best practices built-in.
• Error management: Integrate AI-powered error management to ensure robust operational reliability and resilience.