Accelerate Digital Transformation with Intelligent Data Integration
Informatica by AMSYS delivers comprehensive data management solutions that connect, cleanse, and govern data across multi-cloud and hybrid environments. With AI-powered automation and enterprise-grade capabilities, AMSYS enables organizations to unlock the full potential of their data assets and drive intelligent business outcomes.
What is Informatica Data Integration Platform?
Informatica is the industry-leading data management platform that provides comprehensive ETL, data quality, and data governance capabilities. AMSYS leverages Informatica PowerCenter, IICS, and MDM solutions to help enterprises build scalable, secure, and intelligent data architectures that support analytics, AI, and cloud modernization initiatives.
Overcoming data complexity with AMSYS and Informatica's intelligent platform.
Organizations struggle with data scattered across on-premises, cloud, and SaaS applications, making integration and governance increasingly difficult.
Inconsistent, duplicate, and incomplete data undermines analytics initiatives and creates unreliable business insights across the enterprise.
Traditional ETL processes lack automation, requiring extensive manual coding and maintenance that slows down data delivery and increases costs.
Meeting data privacy regulations like GDPR, CCPA, and industry standards requires comprehensive data lineage, security controls, and audit capabilities.
Intelligent automation and comprehensive capabilities for modern data management.
CLAIRE AI engine automates data mapping, transformation design, and quality rule creation to accelerate development and reduce manual effort.
500+ pre-built connectors for cloud applications, databases, big data platforms, and enterprise systems with real-time and batch processing capabilities.
Machine learning-driven data profiling, cleansing, and matching with automated quality scoring and remediation recommendations.
Informatica Intelligent Cloud Services (IICS) provides elastic scalability, serverless processing, and multi-cloud deployment flexibility.
Enterprise data catalog, lineage tracking, policy enforcement, and privacy management with business glossary and stewardship workflows.
Transform data into competitive advantage with measurable business outcomes.
Proven methodology for successful data transformation and platform adoption.
Comprehensive evaluation of current data landscape, identification of use cases, and development of roadmap aligned with business objectives.
Design scalable, secure, and cost-effective architecture leveraging cloud-native capabilities and integration with existing systems.
Iterative delivery approach with rapid prototyping, continuous testing, and stakeholder feedback to ensure successful outcomes.
User training, governance framework establishment, and ongoing support to ensure platform adoption and maximize ROI.
Proven strategies to maximize platform value and ensure long-term success.
Implement centralized data catalog, establish data stewardship roles, and enforce quality standards through automated policies and workflows.
Leverage pushdown optimization, parallel processing, and intelligent caching to achieve optimal performance for large-scale data operations.
Implement comprehensive security controls including encryption, access management, data masking, and privacy protection from design phase.
Deploy proactive monitoring, alerting, and performance analytics to ensure system health and identify optimization opportunities.
Establish dedicated team with standardized processes, reusable assets, and knowledge sharing to scale data management capabilities.
Intelligent, scalable, and secure data connectivity across any environment
Informatica IICS provides serverless, elastic data integration with auto-scaling capabilities and pay-per-use pricing for optimal cost efficiency.
Support for both real-time streaming and high-volume batch processing with intelligent workload management and priority-based scheduling.
Native support for REST/SOAP APIs, GraphQL, and microservices architectures with built-in error handling and retry mechanisms.
Powerful transformation capabilities including complex expressions, lookups, aggregations, and custom functions with reusable transformation libraries.
Seamless integration across on-premises, public cloud, and hybrid environments with consistent security and governance policies.
AI-powered data quality management for trusted and reliable enterprise data.
Machine learning-powered profiling automatically discovers data patterns, anomalies, and quality issues with smart recommendations for remediation.
Fuzzy matching algorithms with configurable similarity thresholds to identify and merge duplicate records across multiple data sources.
Comprehensive quality metrics and dashboards with business-friendly scorecards to track data health and improvement progress over time.
Centralized management of reference data, code tables, and business rules with version control and impact analysis capabilities.
Real-time quality monitoring with automated alerts, exception handling, and workflow-driven remediation processes.
Comprehensive data discovery and analysis for informed data management decisions.
Intelligent analysis of data structures, formats, and patterns across structured and semi-structured data sources with minimal configuration.
Advanced statistical profiling including distribution analysis, outlier detection, and correlation analysis to understand data characteristics.
Automated identification of business rules, constraints, and relationships hidden within data to support governance and quality initiatives.
AI-powered identification of personally identifiable information (PII) and sensitive data elements for privacy compliance and protection.
Comprehensive lineage tracking from source to consumption with impact analysis for change management and compliance reporting.
Extract insights from unstructured content using intelligent text analytics.
Natural Language Processing
Advanced NLP capabilities for entity extraction, sentiment analysis, and content classification from documents, emails, and social media data.
Document Intelligence
Automated extraction of structured data from unstructured documents including invoices, contracts, and forms using AI-powered recognition.
Multi-Language Support
Process text content in multiple languages with built-in language detection and culturally-aware processing algorithms.
Pattern Recognition
Intelligent pattern matching and regular expression processing to standardize and cleanse text data from various sources.
Integration with Analytics Platforms
Seamless integration with business intelligence, machine learning, and analytics platforms to incorporate text insights into business processes.
