Our Capabilities
Data Quality Assessment & Monitoring
We assess data against six quality dimensions, define measurable rules, and monitor continuously to identify issues before they affect decisions.
Master Data Management
Our approach resolves duplicate and conflicting records into a single trusted view of customers, products, suppliers, and other key entities.
Data Governance
We embed ownership, shared standards, and issue-resolution processes into how teams manage and use data across systems and operations.
Data Cataloging & Lineage
Through catalogs and lineage mapping, we help teams discover available data and trace its origins, transformations, and use.
Compliance & Security-Aligned Data Management
We design access, retention, and protection controls around your organization’s security policies and identified regulatory requirements.
Data Quality Assessment & Monitoring
We assess data against six quality dimensions, define measurable rules, and monitor continuously to identify issues before they affect decisions.
Master Data Management
Our approach resolves duplicate and conflicting records into a single trusted view of customers, products, suppliers, and other key entities.
Data Governance
We embed ownership, shared standards, and issue-resolution processes into how teams manage and use data across systems and operations.
Data Cataloging & Lineage
Through catalogs and lineage mapping, we help teams discover available data and trace its origins, transformations, and use.
Compliance & Security-Aligned Data Management
We design access, retention, and protection controls around your organization’s security policies and identified regulatory requirements.
Our Methodology
A structured engagement model built around decisions, not deliverables. Every phase is designed to produce clarity and the operational confidence to act on it.
Discover
We examine which data domains matter most to the business, who currently owns them, and where quality or trust problems are already visible.
Assess
We profile data quality against the six dimensions, evaluate existing governance practices, and identify where duplicate or conflicting records are undermining trust.
Design
We define the governance framework, ownership model, master data strategy, and the quality rules that will be enforced going forward.
Deliver
A multidisciplinary delivery team, data engineers and governance specialists working as one unit, implements the rules, tooling, and stewardship model, then hands off with the operating cadence in place.
Impact, Delivered
Unified supplier and item data for a healthcare supply chain organization
SSI built an integrated platform for Mercy/ROi, combining data matching, standardization, and master data management to maintain consistent records across operations.
Unified
Supplier & Item Records
Automated
Matching & Standardization
Unified supplier and item data for a healthcare supply chain organization
SSI built an integrated platform for Mercy/ROi, combining data matching, standardization, and master data management to maintain consistent records across operations.
Legacy Platform Transformation for a Renowned Financial Data leader
SSI transformed a complex financial analytics platform with a modern .NET interface and enhanced query capabilities, improving usability and performance while preserving its advanced analytical functionality.
1969–Present
Historical Data
Multi-Source
Vendor Feeds
Validated
Business Logic & Ingestion
Legacy Platform Transformation for a Renowned Financial Data leader
SSI transformed a complex financial analytics platform with a modern .NET interface and enhanced query capabilities, improving usability and performance while preserving its advanced analytical functionality.
Resources
What’s new at SSI, insights, news, blogs, whitepapers, and guides from our teams.
Blog
The Data Layer as a Product in Asset Management
The future of asset management will be shaped not by models alone but by how intelligently firms structure their data. Treating the data layer as a product unlocks scalable AI and real-time investment intelligence.
Blog
GraphRAG and the Shift from Document Retrieval to Relationship-Aware GenAI
As enterprise GenAI matures, document-based retrieval is no longer enough. GraphRAG extends traditional RAG by integrating knowledge graphs, enabling structured, relationship-aware reasoning designed for governance, accountability, and complex decision environments…
Blog
When Agile Meets Data Analytics | Everything You Need to Know About DataOps
It is predicted that more and more companies will deploy DataOps methodologies to keep processes running smoothly and optimize their data analytics processes
FAQs
Not finding what you’re looking for? Talk directly to our team.
