Revenue Operations Strategy
Operating model, funnel definitions, forecasting cadence.
CRM & Sales Technology
Selection, implementation, routing, dialers.
Marketing Technology
Lifecycle automation, campaign and ad integration.
Data Analytics
Warehouse, pipelines, executive reporting.
Systems Integration
LOS, CRM, telephony, marketing and finance connected.
Software Development
BI platforms, routing engines and middleware built to fit.
+
Technology
/
Cloud databases
Snowflake, designed as the single source of truth for revenue.
We design and build Snowflake warehouses that bring CRM, marketing, product and finance data together, and bring the same approach to BigQuery, Redshift and Databricks.
Request an assessmentArchitecture
Databases, schemas, roles and environments set up to scale.
Modeling
Revenue data models with dbt and shared metric definitions.
Performance & cost
Warehouse sizing, clustering and spend monitoring.
Governance
Access control, masking and secure data sharing.
What we do in
Snowflake
The services we deliver on it.
Most engagements combine two or three of these. We scope them together so the systems are built to work as one.
[01]
Data Analytics
Warehouse architecture, data models and the executive reporting built on top.
[02]
Systems Integration
Pipelines from CRM, LOS, marketing and finance systems into Snowflake.
[03]
Software Development
Custom apps and services that read from and write back to the warehouse.
[04]
Revenue Operations Strategy
Metric definitions and governance agreed across sales, marketing and finance.
Where we go deep ·
Snowflake
The parts we know inside out.
Architecture
Account & role design
Role-based access, environments and naming conventions from day one.
Architecture
Ingestion patterns
Batch and near-real-time loading with Snowpipe, stages and connectors.
Modeling
dbt models & tests
Version-controlled transformations with tests on every critical table.
Modeling
Revenue metric layer
Pipeline, bookings, ARR and funnel metrics defined once.
Performance & cost
Warehouse sizing
Right-sized compute, auto-suspend and workload isolation.
Performance & cost
Cost monitoring
Resource monitors and usage reporting so spend is predictable.
Governance
Data masking & row access
Policies that protect PII while keeping data usable.
Governance
Secure data sharing
Governed datasets shared with partners and business units without copies.
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Featured case study ·
Insurtech
Building an Analytics Infrastructure From Sctratch
KOBA Insurance is Australia's first car insurance company to introduce a pay-as-you-drive model to the Australian market. Based in Melbourne, the start-up has been data driven since day 1, primarily due to the heavy reliance on trip-tracking for the insurance product to work properly. Illumination labs has been with KOBA Insurance since the beginning, helping them plan and build a scalable analytics infrastructure.
15,000+
quotes processed daily
10
data sources in one warehouse
20+
automated data workflows