Matchbook AI Data Management Services

Matchbook AI provides end-to-end Data and Identity Management services on AWS, enabling organizations to unify fragmented enterprise data and identities into trusted, governed, and analytics-ready assets.

Modern enterprises and public sector organizations face challenges with siloed systems, duplicate records, inconsistent data quality, and fragmented identity platforms. Matchbook addresses these challenges by combining AI-driven entity resolution, data mastering, and identity lifecycle management into a unified, scalable solution built for AWS.

Our services help organizations integrate, cleanse, match, enrich, and govern data and identities across CRMs, ERPs, data lakes, and digital platforms—delivering a single, trusted view of customers, suppliers, and users.

Data Cleansing & Standardization
Normalize and standardize structured and unstructured data across global formats, including names, addresses, and business entities.

AI-Powered Entity Resolution
Identify and merge duplicate or fragmented records using advanced deterministic and probabilistic matching techniques, enabling accurate master data and identity consolidation.

Identity Management & Resolution
Unify identities across systems with support for identity lifecycle management, deduplication, and persistent identifiers. Leverage Amazon Cognito for scalable user authentication, federation, and secure access management, enabling modern IAM architectures for enterprise and public sector use cases.

Data Enrichment & External Integration
Enhance internal data with commercial, regulatory, and third-party datasets while maintaining provenance and governance.

Golden Record Creation
Create context-aware master records tailored for business functions such as Sales, Risk, Compliance, and Operations.

Governance & Data Quality Monitoring
Implement policies, stewardship workflows, audit trails, and continuous monitoring to ensure data accuracy, compliance, and lineage.

Matchbook services are designed to integrate seamlessly with AWS services, including:

• Amazon S3 for scalable data storage

• Amazon Redshift for analytics and warehousing

• AWS Glue for data integration and transformation

• Amazon Kinesis / EventBridge for real-time data processing

• AWS Lambda for event-driven workflows

• Amazon Cognito for identity management, authentication, federation, and access control

This ensures organizations can operationalize high-quality data and identity systems within their existing AWS environments.

• Establish a single source of truth for enterprise data and identities

• Improve data quality, consistency, and trust across systems

• Enable secure identity and access management frameworks

• Accelerate analytics, AI, and digital transformation initiatives

• Strengthen compliance, KYC, AML, and regulatory reporting

• Reduce operational costs associated with manual data handling

• Customer 360 and identity unification

• Identity and access management modernization

• Supplier and vendor data mastering

• Data lake cleansing and governance

• Compliance (KYC, AML, fraud detection)

• M&A data integration and harmonization

Matchbook offers flexible engagement models tailored to customer needs:

• Advisory and architecture design

• Implementation and integration services

• Managed data and identity operations

• Ongoing optimization and support

All services are delivered with a focus on scalability, security, and rapid time-to-value on AWS.