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Data Analytics & Power BI Dashboard Company in Dubai

هندسة البيانات ولوحات المعلومات

Data analytics and Power BI dashboards: one number everyone trusts, instead of four departments arguing about whose export is right.

رقم واحد تثق به كل الأقسام، بدل أربعة تقارير تتجادل حول أيّها الصحيح.

BigQuery · PostgresdbtLooker Studio · Power BI · MetabaseAirbyte

The problem

Sales reports one revenue figure, finance reports another, and the weekly meeting is spent reconciling rather than deciding.

6–10 weeks
Discuss this
A pipeline dashboard showing cost per qualified lead, Arabic-query share, qualified leads by source and twelve weeks of pipeline value
Illustrative — figures show the shape of a result, not a published client result

What does a data analytics engagement with Brolly.ae deliver?

One number everyone trusts. Brolly.ae builds pipelines from CRM, advertising, ERP, POS and spreadsheets into a single warehouse, agrees each definition once and enforces it in code, then delivers executive dashboards in Power BI or Looker Studio with operational views per team, automated alerts and marketing attribution wired to real revenue — live in six to ten weeks for a Dubai business.

Last reviewed · Brolly.ae editorial team

Data Engineering & Dashboards at a glance

SourcesCRM, ad platforms, ERP, POS, e-commerce, spreadsheets
Warehouse and modellingBigQuery or Postgres, with dbt for definitions enforced in code; Airbyte for ingestion
DashboardsPower BI, Looker Studio or Metabase — executive views plus one operational view per team
DefinitionsAgreed once, written down, enforced in the model — so sales and finance report the same revenue figure
AttributionWired to CRM-qualified leads and closed revenue, not platform-reported conversions
Timeline6–10 weeks
PricingFixed price per phase, quoted in AED, excluding 5% VAT
What's included

What we actually build

  • Data engineering: pipelines from CRM, ads, ERP, POS and spreadsheets into one warehouse
  • Definitions agreed once and enforced in code
  • Executive Power BI or Looker Studio dashboards plus operational views per team
  • Automated alerts when a metric moves beyond a threshold
  • Marketing attribution wired to real revenue, not platform-reported conversions
What changes
  • Decisions made on one source of truth
  • Manual reporting time near zero
  • Attribution you'd defend in a board meeting

We baseline these before the build starts. Without a before, the after is just a claim.

Questions

Data Engineering & Dashboards: the questions buyers ask first

Short answers, written to stand on their own — including the ones with an uncomfortable answer.

Why do sales and finance report different revenue numbers?

Because each exports from a different system with a different definition — booked versus invoiced versus collected, gross versus net of VAT, this month versus this period. A dashboard on top of two exports reproduces the argument. The fix is a warehouse where each definition is agreed once and enforced in code, so every view reads from the same model.

Power BI or Looker Studio?

Power BI where the organisation runs on Microsoft 365 and needs row-level security and governed datasets; Looker Studio where the sources are mostly Google — Ads, Analytics, Sheets — and the audience is marketing; Metabase where a lean team wants self-serve SQL without licensing. The warehouse and definitions underneath are the same in each case, so the choice is about who reads it.

Can you connect our ERP and POS?

Yes, through their APIs or scheduled exports where an API does not exist — Zoho, Odoo, SAP and Tally are the usual ones in the UAE, alongside Shopify and the ad platforms. Discovery establishes which connector each source needs and where the definitions differ between systems, which is where the real work is.

How is marketing attribution handled?

Platform-reported conversions are replaced with CRM truth: leads are matched to their source, qualified or disqualified in the CRM, and closed revenue is attributed back to channel and campaign. Server-side tracking and offline conversion import feed the same numbers back to the ad platforms so they optimise toward qualified leads rather than form fills.

How long does it take to get a first dashboard?

Six to ten weeks for the pipeline, the agreed definitions and the first executive and operational views. The definitions workshop is usually the longest step and the one that cannot be skipped: a dashboard built before the numbers are agreed is a faster way to have the same argument.

Data Engineering & Dashboards

Start with a two-week discovery sprint.

Paid, fixed-price, and yours to keep — the scope, architecture note and quote are useful whether or not we build it.