Analytics Practice

Analytics & BI cockpits.

Executive cockpits, a certified semantic layer, and self-service BI on modern warehouses — RTL-first Arabic alongside English, with sub-2-second dashboards.

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Practice
Analytics Practice
Delivery
Riyadh · London · Lahore
Model
Fixed-scope · Retainer
Timeline
6–16 weeks / phase
01 — What we do

Three pillars that carry the practice.

01

Executive cockpits

Board-grade dashboards designed around decision cadence and KPI trees — not screenshot-friendly vanity metrics.

02

Certified semantic layer

One canonical metric definition — reused across Power BI, Tableau, Looker, embedded apps and downstream ML features.

03

Bilingual RTL UX

Arabic RTL cockpits alongside English, with locale-aware currency, Hijri calendars, and Arabic-numeral toggles.

“
We ship this practice as a small, opinionated system — running infrastructure, evaluation harnesses, and the rituals that make leadership trust the numbers.
02 — Capabilities

What we build inside this practice.

Every engagement is scoped as a small system, not a slide deck. You get running infrastructure, documentation, and the metric-store hooks to measure it.

Scope an engagement
01Executive & operational dashboards
02Semantic layer (dbt / Cube / LookML)
03Power BI · Tableau · Looker delivery
04Bilingual RTL Arabic UX
05Metric certification & governance
06Embedded analytics in SaaS apps
07Warehouse modelling (star / OBT)
08KPI tree design & rollout
Reference architecture

How the pieces move.

Warehouseraw · stagedMartsstar · OBTSemantic layerone metricCockpitsAR + EN RTLGovernancecertification
03 — In production

Numbers from the field.

300+
Certified metrics shipped

Across 14 enterprise semantic layers in banking, retail and government.

70%
Fewer conflicting reports

After the semantic layer replaced spreadsheet silos and rogue dashboards.

<2s
Median dashboard load

With modelled marts, cached aggregates and incremental refresh.

04 — The problem we solve

Three teams. Three "revenue" numbers. One board meeting.

The problem isn't the dashboard tool. It's that finance, sales and product each compute revenue against different joins, filters and refresh windows. We centralise definitions in a certified semantic layer, wire every BI tool to it, and retire the spreadsheets that used to disagree on Monday mornings.

1
Canonical metric definition — enforced in the query
300+
Certified metrics across shipped semantic layers
<2s
Median cockpit load, cached and incremental
RTL
Arabic-first UX, not mirrored English
05 — How we deliver

A methodology we've run — not a slide.

Every engagement follows the same phased spine so leadership always knows what ships in the next two weeks.

  1. 01
    Phase 1

    KPI tree

    Interview leadership, extract decision cadence, and draft the KPI tree bottom-up from source data.

    Signed KPI treeMetric catalogueData lineage draft
  2. 02
    Phase 2

    Warehouse & marts

    Model source data into conformed dimensions and business-facing marts.

    dbt projectStar-schema martsRefresh SLAs
  3. 03
    Phase 3

    Semantic layer

    Publish certified metrics via dbt semantic layer / Cube / LookML with tests and lineage.

    Metric YAMLsSemantic APIGovernance rules
  4. 04
    Phase 4

    Cockpits & rollout

    Ship RTL/EN cockpits, embed in existing tools, retire shadow spreadsheets.

    Executive cockpitSelf-serve workbooksAdoption runbook
06 — Reference stack

Vendor-neutral. Battle-tested.

Warehouses
DatabricksSnowflakeMicrosoft FabricBigQueryRedshift
Modelling
dbt Coredbt CloudSQLMeshGreat ExpectationsElementary
Semantic layer
dbt Semantic LayerCubeLookMLAtScale
BI & embedding
Power BITableauLookerSupersetMetabaseSigma
07 — What you get

Concrete deliverables.

  1. 01Signed KPI tree tied to decision cadence
  2. 02Certified metric catalogue with owners
  3. 03dbt / SQLMesh warehouse project with tests
  4. 04Semantic layer with lineage and governance
  5. 05RTL Arabic + English executive cockpit
  6. 06Self-serve workbook templates
  7. 07Refresh SLAs and freshness monitors
  8. 08Adoption runbook + training
08 — Buyer questions

What leadership actually asks.

Do you have a preferred BI tool?

We're tool-agnostic. The semantic layer means Power BI, Tableau, Looker and Superset all query the same certified metrics — the choice becomes a UX and licensing conversation, not a truth conversation.

How do you handle Arabic RTL properly?

Cockpits are designed RTL-first with Arabic type pairings, right-anchored axes, Hijri calendar toggles and Arabic-numeral options. We don't mirror English layouts.

Can you fix an existing warehouse instead of rebuilding?

Yes — most engagements are refactors, not greenfield. We wrap existing marts with a semantic layer, add tests, and migrate the dashboards incrementally.

How fast is 'sub-2-second'?

P95 dashboard load under 2 seconds against a warm cache. We measure it on real user sessions, not synthetic benchmarks.

Ready to scope this into your stack?

Book a working session with a lead architect.

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