Skip to main content
Sanad

Our data engine

Sabr — the data engine behind Sanad’s work

Sanad built Sabr, our bilingual data engine, to collect large amounts of raw information, clean it, consolidate it, model it, and run it through quality gates — so our clients discover hidden patterns and make data-driven decisions. Sabr is not a product you license and not a rival to BI tools; it is what makes everything we deliver reliable and reviewable.

Secure by design

Sabr securely collects raw data from our clients and deploys where their data requires: it runs entirely on local in-country servers — no cloud computation or storage — when data sensitivity demands it, or in the cloud per the client's requirements.

Reporting that runs itself

Once the scope is agreed, Sabr delivers reporting automatically — mainly through dashboards — at the agreed cadence and format, with no manual collection repeating every month.

Analyst-driven

You never operate Sabr yourself — it is not a self-serve login: our analyst teams use it to aggregate and clean your raw data, then deliver the results through the agreed dashboards.

From source to a reviewable decision

Raw data
Scheduled collection
Validate & clean
Normalize & model
Provenance & quality gates
Dashboards & reporting

The live example: the Syria Data Observatory in numbers

The public Syria Data Observatory is built and published with Sabr, and runs at this scale on real data today — the standing proof that the engine is not a slide deck.

Integrated sources

13

Editorially approved indicators

502

Published values

540,036

Scheduled syncs

13

The gap is itself information

When a branch or directorate does not report this month, Sabr never fills the blank with an assumed value and never reads it as a zero. It shows the gap explicitly, and shows who reported late and who is missing — so a decision-maker knows when to trust a number and when to ask what is behind it.

Every figure travels with a measure of its own completeness: how many sources actually contributed to it. Thin coverage widens the stated uncertainty instead of quietly distorting an average.

More than a BI license

Power BI or Tableau alone only visualizes the data mess beneath it. Sanad delivers the whole system: pipelines, modeling, quality gates, provenance, and bilingual delivery.

The tool follows the need

We are vendor-neutral: Sabr owns collection, cleaning, modeling, and quality gates, and delivery happens through whichever dashboard tool fits the client’s data and environment — Superset, Power BI, or Qlik. Sabr does not compete with those tools; it feeds them data worth visualizing. Today it runs automated validation and anomaly checks; predictive modeling and AI-assisted analytics are offered as services where appropriate.

And ask your data in plain language — inside the same wall

On top of what Sabr models, an analytical assistant can answer questions in Arabic and English, building tables and charts from only the data it is permitted to read. It queries read-only views with fixed metric definitions, so its numbers match the dashboards instead of being invented.

In our public demonstrations the model runs entirely locally, with no external AI API — the same option available inside a client environment when data sensitivity rules out sending anything out. Try it live in any of the sector demonstrations below.

From scattered files to decision dashboards — Sabr is what makes the result worth trusting

Contact us now

What Sabr looks like in your sector

Each demonstration below is built with Sabr on synthetic data created for illustration — dashboards, indicators, and an assistant you can try. Real client solutions are designed around your organization’s systems, terminology, and security requirements.