Our Capabilities
Data Analysis and Domain Mapping
We analyse source data, business entities, and relationships to define models that give analytics and AI the right business context.
ETL/ELT Pipeline Engineering
Our pipelines extract, transform, and load data for analytics and AI, using batch, micro-batch, or streaming to match workload needs.
Data Integration & Source Connectivity
Across APIs, legacy databases, and SaaS platforms, we connect and normalize data into consistent structures that downstream systems can use.
Transformation Logic & Business Rules
Business rules, calculated fields, and aggregations are built into our transformations, preserving meaning for reporting, decisions, and AI use.
Pipeline Orchestration & Scheduling
We coordinate pipeline dependencies, schedules, and recovery using code-based, low-code, or no-code tools suited to your environment.
Real-Time & Streaming Data Engineering
Event-driven pipelines deliver timely data to operational systems and AI models where decisions require low latency.
Data Analysis and Domain Mapping
We analyse source data, business entities, and relationships to define models that give analytics and AI the right business context.
ETL/ELT Pipeline Engineering
Our pipelines extract, transform, and load data for analytics and AI, using batch, micro-batch, or streaming to match workload needs.
Data Integration & Source Connectivity
Across APIs, legacy databases, and SaaS platforms, we connect and normalize data into consistent structures that downstream systems can use.
Transformation Logic & Business Rules
Business rules, calculated fields, and aggregations are built into our transformations, preserving meaning for reporting, decisions, and AI use.
Pipeline Orchestration & Scheduling
We coordinate pipeline dependencies, schedules, and recovery using code-based, low-code, or no-code tools suited to your environment.
Real-Time & Streaming Data Engineering
Event-driven pipelines deliver timely data to operational systems and AI models where decisions require low latency.
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 the source systems in play, current data volume and growth, and what the downstream reporting or analytics actually needs to produce.
Assess
We evaluate existing pipelines, schemas, and transformation logic to identify what’s fragile, undocumented, or quietly breaking downstream reports.
Design
We define the target schema, the pipeline architecture, and the processing pattern, batch, streaming, or both, that the engineering work will be built against.
Deliver
A multidisciplinary delivery team, data engineers working as one unit, builds the pipelines and transformation logic, then hands off with monitoring and documentation in place.
Impact, Delivered
Legacy Platform Transformation for a Renowned Financial Data Leader
SSI modernized data ingestion for a global financial information leader, processing terabytes of multi-source market data in real time with high data quality.
Terabytes
Real-Time Processing
1969–Present
Historical Data
Multi-Source
Data Ingestion
Legacy Platform Transformation for a Renowned Financial Data Leader
SSI modernized data ingestion for a global financial information leader, processing terabytes of multi-source market data in real time with high data quality.
Intraday Social Sentiment Platform for an Institutional Investment Firm
SSI built continuous data pipelines and LLM-based sentiment analysis to turn social content and earnings reports into signals delivered directly to trading desks.
24-Hour
Sentiment Tracking
Continuous
Social Data Ingestion
Integrated
Dashboards & Data Feeds
Intraday Social Sentiment Platform for an Institutional Investment Firm
SSI built continuous data pipelines and LLM-based sentiment analysis to turn social content and earnings reports into signals delivered directly to trading desks.
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.
News
Strategic Systems International and Cross Country Healthcare Partner to Bring Intelligent Workforce Strategy to U.S. Health Systems
SSI’s Optimé® platform brings advanced predictive and optimization capabilities to Intellify®, helping health systems improve staffing precision, operational efficiency, and labor cost performance.
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…
FAQs
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