We build interactive, bilingual dashboards that clearly surface key performance indicators for leadership and operational teams. We define the metrics that matter with you and design for fast decisions rather than drowning users in numbers. Data refreshes automatically so decisions always rest on current information.
What's included
- Definition of the right KPIs for each leadership and operational tier, agreed with stakeholders
- A semantic layer that unifies metric definitions to prevent conflicting numbers across departments
- Interactive dashboards on platforms such as Power BI, Looker, or Metabase, matched to your environment
- Self-service analytics so users can explore data without returning to technical teams
- Data-access governance with row- and column-level permissions to protect sensitive information
- Bilingual design supporting Arabic and English with right-to-left layout
Methodology & standards
A workshop with leadership and teams to define the questions the dashboards must answer and their metrics
Consolidate data sources and build the semantic layer with agreed metric definitions
Design dashboards around visual hierarchy and decision clarity before numeric detail
Configure permissions, schedule automatic refresh, and validate figure accuracy
Train users on self-service analytics and hand over a dashboard usage guide
Deliverables
- Published interactive dashboards for leadership and operational teams
- A documented semantic layer holding metric definitions and their sources
- A permissions model governing data visibility by role
- Scheduled automatic data refresh with a refresh-status log
- A user guide and training materials for self-service analytics
Regulatory controls it satisfies
Typical timeline
The first usable dashboards are typically delivered within four to eight weeks, depending on the number of sources and data readiness.
Common questions
Do you work in Power BI or other tools?
We work across Power BI, Looker, Metabase, and others. We recommend the tool based on your existing environment, licensing budget, and your teams' need for self-service, rather than forcing a single platform on every case.
Our data is spread across several systems, is that a blocker?
No. The semantic layer we build unifies metric definitions above multiple sources, so everyone sees one consistent number regardless of where the underlying data is stored.
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