Giggabytes OyData engineeringSemantic modelsPower BI
Giggabytes designs lakehouse platforms, semantic models, and the calendar, customer and promotion logic that keep weekly and monthly KPIs consistent.
Data engineering, BI development and solution architecture, with 18 years of enterprise data delivery experience.
Built in your own platform, documented, yours to keep.
Databricks PartnerConsulting & SI partner, member of the Databricks Partner ProgramOur Databricks work
Select a stage to see what happens there.
Net sales · period P03
| View | Shortcut | Shared calendar |
|---|---|---|
| Weekly roll-up | 4.82M | 5.11M |
| Monthly view | 5.11M | 5.11M |
| Gap | 5.7% | 0.0% |
Both views now read one calendar.
02 What we offer
03 The problem
Weekly and monthly reports read the same transactions. They disagree because each decides differently which days belong to which period. That is a modelling decision made upstream, long before anyone opens a report.
One trading week across a month boundary
Illustrative04 What Giggabytes builds
Reporting breaks at the joins: between ingestion and modelling, between the model and the measure, between the calendar and the KPI. Giggabytes builds across all three.
Select a capability to trace it through the pipeline.
Lakehouse platforms with incremental ingestion, medallion layers and governance designed in from the first table, not retrofitted after the first audit.
Azure Databricks · Microsoft Fabric · Snowflake · Delta Lake · Unity Catalog · Terraform
Star schemas with a declared grain, conformed dimensions and one definition per measure. Power BI semantic models analysts can extend without breaking.
Kimball · Power BI semantic models
The calendar, customer and promotion logic that decides which number is right. Written once, in the model, and tested like code.
dbt tests · SQL · date dimension design
05 How it works
Everything is built in your own platform, documented as it goes and handed over at the end. Nothing depends on us to keep running.
Free
Your platform, your reports and the numbers that do not agree.
1–2 weeks
On your data, we measure where reports disagree and why, and propose the fix at a fixed price.
Agreed up front
In your own workspace, in small steps you can review, with checks that run every time.
Final week
Code, documentation and a walkthrough for the people who will run it. Yours to keep, with no lock-in.
06 Selected work
07 Project experience
Giggabytes has delivered data engineering and BI consulting projects for these organisations.
Logos are trademarks of their respective owners and are shown solely to identify organisations for which Giggabytes has delivered consulting work. Their use does not imply endorsement by these organisations.
08 Who builds it
Senior work from the first call to the handover, with no hand-offs along the way.
→ Decision
Email us about the numbers that do not match, and we will set up a call. Lakehouse builds, semantic model reviews, KPI reconciliation and discount price checks.