Business Intelligence & AI

Business Analytics, AI Reporting and BI Dashboards

Explore business analytics, BI dashboards and AI reporting around reconciled source data. Define KPIs, permissions, refresh timing and review controls before relying on a generated recommendation.

Business Analytics, AI Reporting and BI Dashboards
Capabilities

What Analytics delivers

Explore business analytics, BI dashboards and AI reporting around reconciled source data. Define KPIs, permissions, refresh timing and review controls before relying on a generated recommendation.

Executive dashboards

Define role-specific measures with source records and accepted reporting periods.

Connected reporting data

Assess included modules and external data interfaces with mapping and reconciliation rules.

AI analytics assessment

Validate forecasting, anomaly detection or generated explanations for a named use case.

Threshold alerts

Agree limits, notification owners and escalation separately from predictive models.

Self-service reporting

Scope report layouts, export formats and approved recipients.

Controlled sharing

Confirm permissions, embedding requirements and access to sensitive records.

Use cases

Who uses Analytics and how

01

Executives

Track company-wide KPIs on one screen with role-based dashboards and mobile access.

02

Department heads

Monitor targets, spot variances early and drill from KPI to transaction in two clicks.

03

Analysts

Build custom reports and scheduled exports from a governed data warehouse without waiting for IT.

Live insight

See performance as it happens

Every analytics process feeds a live dashboard so teams act on facts, not month-old reports.

  • Row-level security by role
  • Natural-language questions
  • Connect Power BI and Tableau
  • Export to Excel and PDF
See it live →

Revenue vs forecast (AED M)

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How it works

From first click to measurable results

1

Connect

Pull in every system.

2

Model

Shared definitions of revenue and margin.

3

Visualise

Dashboards that update live.

4

Act

Alerts and AI nudges drive action.

Built around your operation

Connect the process. Clarify the next action.

Explore your workflow →
Connected workflows

AI analytics and AI reporting with traceable business definitions

Business analytics connects operational records to agreed measures. AI analytics can help explore patterns and AI reporting can draft explanations, but neither replaces reconciled source data, role-based permissions or management review.

Business intelligence and governed KPI reporting

Define revenue, margin, workforce cost, inventory availability and asset utilisation consistently. Reconcile dashboard totals to accepted transactions and show the period and last update before comparing performance across entities or locations.

Predictive analytics and forecasting readiness

Forecasting depends on relevant history, data quality and known operating changes. Separate predictive estimates from actual results and simple threshold alerts, and validate errors using representative periods before making planning decisions.

Natural-language analysis with human review

An AI assistant answering a reporting question needs permitted data, source context and a way to acknowledge uncertainty. Agree review and escalation before summaries influence payroll, procurement, credit or safety-related decisions.

Beyond the essentials

A dashboard matters when it changes the next decision.

Build reporting around trusted definitions, accountable owners and a clear path from a signal to an action.

Extended features

Go deeper into the way you work

Explore these extensions during discovery. Availability, configuration, integrations and service commitments are confirmed in your agreed scope.

Metric ownership and definitions

Document the calculation, source, refresh interval and accountable owner for each important measure.

Exception-focused reporting

Explore views that highlight overdue items, unusual movements and missing information rather than adding more charts to monitor.

Governed access to insight

Plan audience-specific dashboards and export permissions so useful detail reaches the right people without exposing unnecessary records.

FAQ

Questions, answered

Do I need a data team?

Assign owners for data preparation, definitions and access, even when business users can build reports. Confirm included tools and training.

Can I use Power BI?

Assess the required interface, data model, refresh schedule, access rules and any third-party licences before confirming the integration.

Do I need a data team to use Analytics?

Confirm which dashboards and report-building tools are included and who maintains their definitions. Data preparation, access controls and reconciliation still need named owners.

Does it include AI alerts?

Discuss threshold alerts separately from model-based anomaly detection. AI use cases require suitable data, validation and agreed review responsibilities; inclusion depends on the scoped solution.

Can I connect external data sources?

Assess the required spreadsheet, database or API interfaces, ownership and update timing. Confirm permissions, data mapping and failed-import handling before relying on combined reporting.

Can reports be scheduled and shared?

Define required formats, recipients and schedule rules. Validate access permissions and retention, especially for employee, financial and customer information.

How much does DO ALL cost?

Pricing is based on the agreed applications, users, delivery work and service requirements. Request a quotation that separates recurring fees, implementation, integrations and third-party costs.

How long does implementation take?

The schedule depends on process scope, data readiness, integrations and the availability of your reviewers. Agree milestones, dependencies and acceptance criteria after discovery rather than assuming a standard duration.

Is my data secure and where is it hosted?

Discuss access controls, encryption, hosting location, recovery and assurance evidence for the intended deployment. Confirm the agreed arrangements in the proposal and applicable security or data-processing terms.

Does DO ALL support Arabic and multiple currencies?

Discuss the languages, right-to-left workflows, currencies, entities and tax jurisdictions you need. Validate the relevant screens, documents and calculations during your demonstration and acceptance testing.

What support do I get after go-live?

Support channels, coverage hours, escalation routes and response targets depend on the agreed plan. Confirm onboarding, training, maintenance and ongoing support responsibilities before rollout.

How do we choose the first dashboard?

Start with a recurring decision and a small set of measures. Include the user who makes the decision and the owner of the underlying data.

What if two departments calculate a KPI differently?

Document both definitions and agree a reporting standard or clearly labelled alternatives. Do not combine conflicting calculations under one metric name.

How should dashboard accuracy be tested?

Reconcile sample totals to source transactions, test date and entity filters and include edge cases such as returns, cancellations and late postings.

Are AI reporting results automatically reliable?

No. Review calculations, source records, time periods and permissions. Generated explanations can be incomplete or wrong, and forecasts are estimates. Test the selected use case and keep approval with the responsible business owner.

Client feedback

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