Data Engineering & BI
Trustworthy data, decisions on demand.
We build the pipelines, warehouses, and dashboards that turn scattered data into a single source of truth for organizations across Saudi Arabia and the GCC.
From raw events to boardroom-ready insight
We engineer resilient ETL and ELT flows and model your data so analytics are fast, consistent, and explainable, not a spreadsheet archaeology project. We document the models, test the transformations, and alert on freshness, so the numbers in your dashboard are ones the whole org can defend.
Core outcomes
What you can expect.
One source of truth
Consolidate fragmented systems into a warehouse everyone can rely on.
Real-time visibility
Stream and batch pipelines that keep dashboards current, not stale.
Clean, trusted data
Validation and quality checks catch issues before they reach a decision.
Self-serve analytics
BI dashboards that answer questions without a ticket to the data team.
Less reporting effort
Automated pipelines replace the manual spreadsheet wrangling that eats analyst time.
Governed and documented
Clear definitions, lineage, and access controls so data stays trustworthy and compliant.
Use cases
Where it pays off.
Representative examples of the work this practice delivers.
Unified warehouse
Consolidated CRM, billing, and product data into one warehouse.
Real-time dashboards
Streaming pipeline feeding live executive dashboards.
Data cleanup
Deduplicated and validated a decade of customer records.
Marketing attribution
Unified ad, web, and CRM data into a single attribution view.
Finance close automation
Automated data prep for a monthly finance close.
Product analytics
Built an event pipeline feeding self-serve product dashboards.
How we deliver
A clear path to outcomes.
A repeatable, transparent workflow, so you always know what's happening and what's next.
Map
We map the decisions the data needs to serve.
Pipeline
We build resilient pipelines that land raw data reliably.
Model
We shape data into clean, documented models with one agreed definition per metric.
Surface
We deliver dashboards and self-serve analytics teams adopt.
Operate
We monitor pipelines and data quality so dashboards stay trustworthy.
What we deliver
Capabilities & tooling.
In this practice
- Data Pipeline Development (ETL)
- Data Warehousing and Data Lakes
- Data Quality and Cleanup
- Business Intelligence Dashboards
Tech & tools we use
When every team has its own numbers
Conflicting reports erode trust and slow decisions. We unify definitions and pipelines so the whole org reads from the same page.
FAQ
Common questions.
Cloud warehouse or our own database?
Either. We work with Snowflake, BigQuery, Redshift, or your existing database.
Can you fix our messy data?
Yes, data quality, deduplication, and validation are core to what we do.
Will our team be able to self-serve?
We build dashboards and models designed for self-serve, with light training.
How long to stand up a warehouse?
A useful first version usually lands in 4 to 8 weeks, then we expand sources and models from there.
Can you connect our existing tools?
Yes. We ingest from databases, SaaS apps, and event streams, and feed your existing BI tools.
How do you keep data fresh and correct?
Scheduled pipelines with freshness checks, automated tests, and alerts when something looks off.
Ready to put this to work?
Tell us where you are today. We'll map the fastest safe path to where you want to be.
Get in Touch