Data model design · Reporting data mart
A reporting data mart that makes self-serve reporting easy.
A systematic, business-friendly star-schema data mart on your data platform — so every report reads from one clean model instead of raw tables.
The challenge
ELT without a data mart turns reporting into a tangle.
01
Sources are onboarded to the warehouse as-is, and urgent reports get built straight on raw tables.
02
Many views repeat the same KPIs with complex queries, each calculated slightly differently.
03
Intermediate report tables pile up without a larger design, and the system gets complex fast.
Hard to maintain
Every field change means debugging complex queries.
Wasted compute
KPIs recalculated in many views, inflating cluster cost.
Missed SLAs
Reprocessing delays when reports become available.
Low extendibility
Reporting becomes difficult to manage and grow.
The solution
Design and build a business-friendly data mart.
A data mart schema
Easy to understand, extend and maintain.
A clear process
Every data consumer reads from the data mart; every change is made there.
ETLs that populate it
Configurable pipelines that honour reporting SLAs.
What we do
We design, build and grow your data mart.
01
Design a data mart schema suited to your priority reports.
02
Build end-to-end pipelines that keep it always up to date.
03
Migrate your priority reports onto the new schema.
04
Put a process in place so the schema is easy to extend.
Self-serve
A business-friendly schema for drag-and-drop reports
Efficient
KPIs computed once, no reprocessing
Lasting
A formal data practice built to extend for years
Our process
Top-down, with your reports as the anchor.
We start from the reports that carry 80% of your important KPIs, and design the model to serve them.
01
Discovery
Understand your data, business and use cases; pick the anchor reports.
02
Analyse reports
Extract KPIs and fields, group them, and capture a data BRD.
03
Design v1
Facts and dimensions defined, reverse-mapped to every report, reviewed with the business.
04
Build & release
ETL built, tested and validated; reports moved onto the mart; v1.0 released.
05
Enhance
Each new reporting need enriches the schema, in short regular cycles.
Reports built on raw tables? Let’s give them a proper data mart.
We have built enterprise data marts for many customers — start with your priority reports.