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Data and analytics

Turn scattered spreadsheets and systems into one set of numbers your whole team trusts. We connect your sources, build bilingual dashboards and automatic reports, and apply data science where it makes a real difference.

A laptop on a glossy table, a dashboard of figures and charts on its screen

What you get

  • One trusted source for the numbers that matter
  • Dashboards in Arabic and English that refresh automatically
  • Reports that arrive on schedule, with no copy and paste
  • Forecasts and alerts that help you act sooner

What we offer

Start with the area that solves today's problem. Each one is useful on its own, and they build on each other as you grow.

Strategy and foundations

Data strategy and maturity assessment

We map your sources, owners, gaps and the decisions that matter most, then give you a costed roadmap that starts with quick wins, not a year-long programme.

Engineering and platforms

Pipelines, connectors and migration

Automated ETL/ELT pipelines that pull from your accounting, ERP, CRM, store and spreadsheets on a schedule, plus careful migration out of legacy systems, reconciled against the source.

Warehouses and large-volume processing

A well-modelled warehouse or lakehouse sized to your data today, with batch processing for heavy volumes and streaming only where a faster refresh changes a decision.

Analytics and BI

Bilingual dashboards

Dashboards for sales, operations and finance, laid out right to left in Arabic and left to right in English. If a tool limits Arabic, we tell you before you choose it.

KPI dictionary and automatic reports

One agreed definition and owner for every key metric, reports that arrive by email on schedule, and governed self-service for managers who want to explore.

Data science

Predictive analytics

Demand, sales and cash forecasts built on your own history and tested on held-back data before you rely on them.

Customer analytics

Segments, early churn signals and product recommendations that show who your most valuable customers are and who is about to leave.

Anomaly and fraud detection

Models and rules that flag unusual transactions, returns or stock movements early, with a person on your team reviewing every alert.

Geospatial analysis

Maps of customers, branches and deliveries that show where demand sits, where to open next and which routes cost too much.

Arabic text analytics

Topics and sentiment from Arabic reviews, tickets and surveys, tested on a labelled sample of your own text, with a clear note on where dialect or sarcasm limits accuracy.

Governance and enablement

Data quality, governance and classification

Quality rules, a named owner for each dataset and data classification, designed around the national data management standards and the Personal Data Protection Law.

Training and managed analytics

Role-based data literacy training for your team, and a support plan in which we keep pipelines running, fix breaks and add reports as you grow.

Platforms we work with

Dashboards and BI

  • Power BI
  • Looker Studio
  • Metabase
  • Tableau
  • Excel
  • Google Sheets

Data platforms

  • Microsoft Azure
  • Microsoft Fabric
  • Google BigQuery
  • Snowflake
  • Databricks

Sources we connect

  • Qoyod
  • Daftra
  • Wafeq
  • Odoo
  • Zoho
  • Salla
  • Zid
  • Shopify
  • Foodics
  • HubSpot

Where it helps

Your situation isn't listed? Tell us about it in a free consultation.

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How we deliver

Clear steps, each stage with a set date.

  1. Assess

    We review your sources, reports and the decisions you need to make, then agree the scope and a fixed quote.

  2. Design

    We design the data model, the KPI definitions and the dashboard layouts, and you approve them before we build.

  3. Build and connect

    We build the pipelines and dashboards in your own accounts and connect your sources one at a time.

  4. Validate the numbers

    We reconcile every figure against the totals in your source systems, so the first dashboard you see is one you can trust.

  5. Hand over and improve

    We train your team, hand over the documentation and keep improving under a support plan if you want one.

Common questions

Can't find your question? Message us and we'll reply within one working day.

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Getting started and cost

Our data sits in Excel and separate systems. Where do we start?

With a short assessment of your sources and the decisions you make most often. It ends in a roadmap, and the first step is usually a small pilot with a fixed scope, such as one dashboard for one department.

How soon will we see the first dashboard?

In the first phase of the project, once your main source is connected and its numbers are reconciled. Your quote gives a date for each phase.

What will it cost?

It depends on the number of sources, the state of the data, how often it refreshes and how many people use it. You get a fixed quote after the assessment.

Will our team be able to run it on its own?

That's the goal. We train each role, hand over documentation in Arabic or English, and set up governed self-service so your team can build simple reports without waiting on anyone.

Tools and connections

Which tools do you use?

The ones that fit your licences, budget and team. Many companies already own Power BI or Google Workspace, so we check what you have before recommending anything new.

Can dashboards be fully Arabic and right to left?

Yes, we design them in both languages from the start. Some tools don't mirror report layouts for right-to-left reading, so we explain each tool's Arabic limits before you choose.

Can you connect to Qoyod, Daftra, Wafeq, Salla, Zid or Foodics?

Yes. These systems offer APIs, so we connect with read-only access and an agreed refresh schedule. Systems that only export files can be scheduled too.

Can the data update in real time?

Where it changes a decision, yes. Most reports only need a daily or hourly refresh, which costs less and is easier to keep accurate, so we match the refresh to how fast you act on the numbers.

Accurate numbers and forecasts

How do we know the numbers are right?

We reconcile every figure against the totals in your source systems, automated checks run on every refresh, and one KPI dictionary defines how each number is calculated.

Can you forecast demand, and how much history do we need?

Often, yes. We check that your history is long and clean enough, build a simple baseline model and measure its accuracy on data it hasn't seen before you rely on it. Seasons such as Ramadan need more than a year of history to model well.

Data, access and ownership

Where is our data stored?

In accounts in your company's name, in a location we agree with you and record in the project. If any part sits outside the Kingdom, we help you document the legal basis for the transfer under the Personal Data Protection Law.

Will you sign a data processing agreement?

Yes. When we handle personal data for you, we act as your processor under the Personal Data Protection Law, and the agreement sets out the purpose, the data, the duration and how we tell you about any breach.

We're a government entity. Do you follow the national data management standards?

We map our work to the NDMO's data management standards and help you prepare the evidence for your self-assessment. We never claim a certification we don't hold.

What access do you need to our systems?

Only what the work requires: read-only accounts wherever possible, created in your name and removed when the work ends. We sign an NDA before we see any data.

Who owns the code, models and dashboards?

You do. Everything is built in accounts in your company's name, and we hand over the code, the documentation and full admin access.

Other services

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