A warehouse is not a foundation until something lands in it
We build the cloud data platform and the pipelines that keep it current — with commerce data models and quality rules already in place, so it arrives analytics-ready rather than empty.
Two ways this usually goes wrong
The empty platform
The pipeline nobody owns
The platform
On Databricks, Snowflake, Microsoft Fabric or BigQuery — whichever you have, or whichever fits.
Architecture and layered modelling
Commerce data models, pre-built
Governance and access control
Cloud cost management
And the movement layer underneath
Batch integration
Real-time streaming
Reliability operations
Where we have built this
Steve Madden Australia
ARASCO
Tracer
What sits on top
The foundation is worth building because of what it carries. Most clients arrive here on the way to something else.
Three ways to buy this
Decision Sprint
Six weeks, fixed scope, one decision domain. You get a working pack running in shadow mode and a measured read on what it is worth before you commit to more.
Managed pod
A standing Iksula team that runs the layer for you — owns the exceptions, the adoption and the outcome, not just the uptime.
Transformation programme
Outcome-based, where the scope is a business result rather than a deliverable list.
Frequently asked questions
Which platform should we be on?
It depends more on what you already own than on the platforms themselves. A Microsoft estate with Power BI and Azure has a different obvious answer from a business already running Spark workloads. We will tell you where the genuine differences are and where the vendors are describing the same thing in different words.
We have a warehouse already. Is this still relevant?
Often more so. The two common entry points are a platform that costs more than expected, and one that works but has no commerce meaning in it — tables exist, but nothing knows what an order is. Both are cheaper to fix than to rebuild.
Can you run the pipelines, or only build them?
Both, and we would rather run them. Building ingestion is a project with an end date; keeping it accurate is not. Most of the value in this line is in the second part.
How long does it take?
The honest answer is that it depends on how many sources there are and how well anyone understands them. We scope it after looking, not before, and we will tell you which sources are going to be the difficult ones.
Start with one decision
Tell us the decision your team argues about most, and we will tell you what it would take to make it once, properly, on the data you already have.
Connect with our experts
DJ Basumatari
Chief Executive Officer
Abhishek Jain
Director - Solutions & Innovation
