Unified Product Master Data: Financial Services

Financial product data is one of the least discussed but most consequential master data challenges in the industry. A financial product is not a SKU – it is a set of terms, rates, eligibility conditions, regulatory classifications, bundling relationships, and lifecycle states that must be consistent across the systems that price it, sell it, report it, and disclose it. When that data is fragmented or inconsistently governed, the consequences are direct: mispriced products, incorrect regulatory reporting, conflicting disclosures, and product bundling logic that breaks downstream in CRM, billing, and analytics.

When financial product data is inconsistently governed

The gap widens every time a product is launched, amended, or retired without a governed process. Rate sheets diverge across channels. Bundling relationships defined in one system do not exist in another. Regulatory attributes get tracked inconsistently across jurisdictions. And the systems downstream – CRM, billing, analytics, regulatory reporting – each inherit a different version of the truth.

Rysun's Unified Product Master Data Accelerator for Financial Services on AWS closes that gap – establishing governance across product hierarchy, rate structures, bundling relationships, regulatory attributes, and lifecycle controls.

Product governance across terms, bundling and lifecycle We build a unified, trusted financial product model across lines of business – with rate structures, bundling logic, regulatory classifications, and lifecycle controls all governed in one place.

• A governed financial product record across hierarchy, feature sets, and bundling relationships
• Rate and pricing attributes managed in a versioned, governed model
• Regulatory classification and disclosure attributes with jurisdiction-specific tracking
• Product lifecycle and approval governance with full audit trails

Delivered in phases over 10-16 weeks. Product scope, LOB coverage, regulatory jurisdiction, and integration targets confirmed at engagement start. Larger programs finalized via private offer.

Recommended AWS stack

Amazon S3, AWS Glue, Amazon Redshift for versioned product data across LOBs, AWS Lambda for event-driven lifecycle triggers, Amazon Bedrock for regulatory attribute classification and disclosure review assist, Amazon QuickSight for governance and lifecycle monitoring dashboards.