iOPEX helps you operationalize Snowflake so it powers ServiceOps and RevOps outcomes with embedded intelligence,
governed data products, and automation signals that trigger real actions across your workflow stack.
15-25%
Snowflake spend reduction through FinOps and workload governance
Audit-ready governance
with role-based access, lineage, and masking policies
Outcome-linked commercials
tied to cost-to-insight, revenue realization, and cost-to-serve KPIs
The Shift
From Insight-Led Reporting to Agentic Operational Execution
The problem
Snowflake becomes a reporting layer, not an operating layer andinsights don’t translate into action.
Governance exists on paper, but access, masking, lineage, and controls aren’t consistently enforced across domains.
Warehouse usage grows uncontrolled—cost scales faster than value.
Data modernization stalls due to fragmented modeling and unclear ownership—time-to-insight slows.
AI initiatives struggle because data foundations aren’t curated into trusted, domain-ready products.
The iOPEX solution on Snowflake
Operate the Data Cloud end-to-end: architecture, migration, performance tuning, cost governance, secure sharing—continuously optimized.
Embed intelligence: Snowflake becomes the trusted data substrate for domain-specific AI and Command Agents.
Commercials aligned to outcomes: measurable KPIs like time-to-insight, revenue realization, and cost-to-serve.
Outcomes we enable
Lower cost-per-query and cost-to-insight through tuned warehouses, governance, and workload controls
Revenue leakage detection embedded into workflows (RevOps signals that trigger action, not just alerts)
Automated case triage via Snowflake and ServiceNow using governed operational signals
Finance reconciliation accuracy improvement with standardized domains and trusted data products
Audit-ready governance embedded into run operations (RBAC, masking, lineage, policy enforcement)
Enterprise data debt reduction via standardized domain models and reusable data products
How We Deliver
A Structured Operating Model for Sustainable Snowflake Execution
01
Modernize the foundation → Faster time-to-insight
Legacy DW modernization and domain-based modeling
Migration execution with performance baselining and validation
Migration execution with performance baselining and validation
02
Govern by design → Audit compliance without friction
Role-based access, masking policies, lineage, and secure sharing
Operational controls embedded into how data is produced and consumed
Governance that scales across domains, not ticket-by-ticket
03
Build domain data products → Higher business adoption
Curated RevOps and ServiceOps data layers designed for operational use
Clear ownership, quality SLAs, and reusable consumption interfaces
Data products built to support decisions and downstream automation
04
Connect signals to action → Automated next-best-action
Command Agents read Snowflake signals and trigger workflow actions
Exception routing, prioritization, and next-best-action recommendations
Designed to integrate with your operating platforms (e.g., ServiceNow)
05
Run Snowflake FinOps continuously → 15–25% spend reduction
Warehouse sizing, auto-suspend, workload governance, and chargeback/showback
Usage patterns translated into policy and engineering changes
Spend drops as operational discipline compounds quarter-over-quarter
