Our Capabilities
Platform Architecture & Selection
We evaluate warehouse, lake, and lakehouse options against your workloads, data structures, and access patterns to recommend the right fit.
Data & Semantic Modeling
Our models organize business entities, relationships, and shared metrics so teams can query data consistently and interpret results with confidence.
Data Lake Design
Carefully designed zones, file formats, and partitioning keep your data lake organized, queryable, and manageable as volumes grow.
Cloud Data Warehouse Implementation
We configure your warehouse, schemas, access controls, and workload isolation to support reliable reporting and analytics.
Storage Tiering & Cost Optimization
Through tiering, compression, and lifecycle policies, we align storage costs with how frequently data is accessed and retained.
Migration & Modernization
Our phased migration approach moves legacy data platforms to cloud architecture while maintaining continuity for reporting and pipelines.
Platform Operations & Reliability
We monitor, secure, and tune live platforms, adjusting capacity and performance as data volumes and query demands increase.
Technologies we work with
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 current data volume, growth trajectory, workload types, and who needs access to what, before evaluating any platform.
Assess
We evaluate the existing data estate, current platform limitations, and cost drivers to establish what’s actually constraining performance or budget today.
Design
We define the target architecture, warehouse, lake, or a combination, along with zone structure, tiering strategy, and the migration approach if one is needed.
Deliver
A multidisciplinary delivery team, data engineers and platform specialists working as one unit, builds and cuts over to the platform, then hands off with monitoring and operating runbooks in place.
Impact, Delivered
Scaled a Startup to Global Market Leader: 11 Years With SSI, Achieved 2X Exits Worth $1.2B
SSI’s 11-year ongoing solution partnership, taking a spreadsheet-run startup through two acquisitions worth a combined $1.235 billion.
$1.235B
Combined exit value
11 Years
Active partnership
7+ TB
Processed daily
Scaled a Startup to Global Market Leader: 11 Years With SSI, Achieved 2X Exits Worth $1.2B
SSI’s 11-year ongoing solution partnership, taking a spreadsheet-run startup through two acquisitions worth a combined $1.235 billion.
Unified data platform for a multi-state remote care provider
SSI built a Snowflake data platform with standardized business entities, master data, and a shared semantic layer, creating a consistent foundation for reporting, analytics, and future AI use.
Snowflake
Data platform
Unified
Master data
Shared
Semantic layer
Unified data platform for a multi-state remote care provider
SSI built a Snowflake data platform with standardized business entities, master data, and a shared semantic layer, creating a consistent foundation for reporting, analytics, and future AI use.
Resources
What’s new at SSI, insights, news, blogs, whitepapers, and guides from our teams.
Blog
How Can Modern Enterprises Benefit from Business Intelligence Tools?
By harnessing the potential of BI, enterprises can turn data into their most potent weapon, guiding them toward a future of sustainable growth and prosperity
Blog
Why Managed Cloud Services are Essential for Growing Businesses
Managed cloud services have emerged as a powerhouse of efficiency and innovation, these services encompass a range of offerings, including infrastructure management, security, monitoring, data backups, and disaster recovery
Blog
What is Fog Computing? How Can it Benefit Your Tech Business?
Fog computing has its structure stored in a decentralized location, closer to the device from where the data comes
Momentum.
AI-first enterprise ready platform.
FAQs
Not finding what you’re looking for? Talk directly to our team.