Data, Analytics & Knowledge
One warehouse instead of twelve spreadsheets
If your finance, ops and sales numbers live in different tools and never quite agree, this is the fix. We build the pipelines that pull everything into one place, on a schedule, without anyone copying and pasting.
2 to 4
weeks to a working first pipeline
24/7
scheduled syncs, no manual exports
3+
source systems connected as standard
The direct answer
Data engineering at Procul Solutions means building the pipelines and warehouse that move your data from ERPs, spreadsheets, scanned documents and third-party tools into one clean, structured place. It is for Saudi companies whose numbers are split across Odoo, SAP, Excel and someone's inbox, and who need one reliable dataset before dashboards, forecasting or AI can work properly.
What this removes.
Three versions of the same number
Today
Finance, ops and sales each export their own report, and the totals never match by month end.
With the system
One pipeline feeds one warehouse. Every team pulls from the same numbers, so the arguments about whose report is right stop.
Manual exports eat a day a week
Today
Someone downloads CSVs from three systems, pastes them into a master sheet, and fixes the formatting by hand.
With the system
Scheduled jobs pull and clean the data automatically. That person's week opens up for actual analysis instead of copy-paste.
Arabic invoices sit outside the system
Today
Scanned Arabic purchase orders and supplier invoices get filed in a folder and never make it into any report.
With the system
Document ingestion reads Arabic and English paperwork and loads the extracted fields straight into the warehouse.
No history to forecast from
Today
Old data got overwritten or lives in a system nobody can query anymore, so trend analysis starts from zero.
With the system
A proper warehouse keeps clean historical records, so forecasting and reporting have real depth to work with.
What lands in your hands.
Central data warehouse
One structured store for financial, operational and sales data, built on your stack.
ERP and app connectors
Pipelines from Odoo, SAP, POS systems, spreadsheets and common SaaS tools.
Document ingestion pipeline
Arabic and English invoices, POs and receipts parsed and loaded automatically.
Scheduled sync jobs
Data refreshes on a set cadence, hourly or daily, with failure alerts.
Cleaning and matching rules
Deduplication, currency normalization and category mapping applied consistently.
BI-ready schema
Tables modeled for dashboards and forecasting tools, not raw system exports.
Systems and platforms we work with
- OpenAI
- Anthropic
- Google Gemini
- Meta
Systems and platforms we work with
- React
- Next.js
- TypeScript
- Node.js
- Python
- Flutter
- PostgreSQL
- Supabase
- Tailwind CSS
- Docker
- GitHub
- Google Cloud
- Figma
Five stages. You sign off every one.
Read each stage as a small contract: what we need from you, what lands in your hands, and the sentence that has to be true before we move on.
- Audit3 to 5 days
- Warehouse design1 week
- Pipeline build1 to 3 weeks
- Backfill and validation3 to 7 days
- Live operation and supportongoing
Audit
3 to 5 days
We map every system that holds data you care about, and what shape it's currently in.
- List your data sources and owners
- Grant read access for review
- Flag the reports that matter most
- Full source inventory
- Data quality assessment
- Pipeline scope proposal
We move on when we move on when the source list and priority reports are agreed in writing.
Warehouse design
1 week
We design the schema that your dashboards and reports will actually run on.
- Review the proposed data model
- Confirm naming and grouping rules
- Warehouse schema
- Mapping from each source field to its destination
We move on when we move on when the schema is signed off and matches how your team thinks about the numbers.
Pipeline build
1 to 3 weeks
We build and test the connectors, ingestion jobs and cleaning rules against real data.
- Provide sample exports and edge cases
- Test early pipeline runs with us
- Working connectors for each source
- Cleaning and matching logic
- First populated warehouse
We move on when we move on when a full sync runs end to end and the numbers reconcile against your source systems.
Backfill and validation
3 to 7 days
We load historical data and check it against your existing records line by line on a sample basis.
- Point us to historical archives
- Sign off on the validation sample
- Historical data loaded
- Validation report with any discrepancies flagged
We move on when we move on when the validation sample matches within an agreed tolerance.
Live operation and support
ongoing
Pipelines run on schedule, we monitor for failures, and we extend the warehouse as new sources come up.
- Flag any new source system or broken sync
- Review monthly pipeline health notes
- Monitored scheduled syncs
- Fast fixes on failures
- New connectors as your stack grows
We move on when this stage continues for as long as you're on a support plan.
Asked before signing.
How is this priced?
By project scope, not by hour billed blind. We quote based on the number of source systems, data volume, and whether document ingestion is involved. Most first engagements land as a fixed project fee for the initial pipeline, with an optional monthly plan for ongoing syncs and new sources.
Can you pull data from Odoo and SAP at the same time?
Yes. We build separate connectors per system and land everything in one warehouse with a consistent schema, so a sales figure from Odoo and a cost figure from SAP sit in the same table instead of two disconnected exports.
What happens to our data under PDPL?
Your data stays in infrastructure you control or approve, and we minimize what touches any third-party tool. We document data flows and access as part of the build, so you have a clear answer if PDPL compliance is ever audited.
We already have dashboards. Do we need this?
If those dashboards pull from clean, unified data, probably not. If someone manually refreshes an export before every board meeting, the dashboard is only as good as that manual step, and this is what removes it.
Stop reconciling spreadsheets by hand
Tell us which systems hold your data and what you need to see from it. We'll scope the pipeline and timeline before anything gets built.