Intelligence

Data & Analytics

Technology practiceIntelligence

Trusted data for faster, better management decisions

We build the governance, architecture and analytical products that turn fragmented data into reliable management information and practical decision support.

Challenges we help address

  1. 01

    Business units use different definitions for the same performance measures.

  2. 02

    Data quality issues are addressed within reports rather than at source.

  3. 03

    Dashboards present information without linking it to decisions, thresholds or owners.

  4. 04

    Advanced analytics are developed without a sustainable operating model or user adoption.

We build the governance, architecture and analytical products that turn fragmented data into reliable management information and practical decision support.

Sub-services

Capability pillars

Data Strategy & Governance

Representative mandates

Representative mandate

Data governance and management foundation

Define priority data domains, ownership, quality standards, architecture and operating routines so management information can be trusted and improved.

Representative mandate

Executive reporting and decision support

Align definitions and sources, redesign management reporting and build analytical products around the decisions leaders need to make.

Client outcomes

What changes when the mandate lands — and where it connects across our markets.

Common definitions, ownership and quality standards for critical data.

A scalable architecture connecting source systems to governed reporting.

Executive and operational reporting designed around decisions.

Analytical capability transferred to teams with clear ownership and support.

How we deliver

How the work is sequenced, governed and handed over.

  1. 01

    Prioritise data domains and decision requirements.

  2. 02

    Define governance, ownership and quality controls.

  3. 03

    Design architecture and integration.

  4. 04

    Deliver reporting, dashboards and analytical models.

  5. 05

    Embed operating routines, skills and continuous improvement.

Questions we get asked

  • Not necessarily. We first assess decision needs, current architecture, quality constraints and lifecycle cost before recommending changes.

  • Tool selection follows the client environment, security requirements, skills and target architecture. We remain platform-neutral.

  • Ownership, support, documentation and training are designed into the operating model so the client can sustain and extend the capability.

Answers reflect how we typically work. Your first conversation will reference your situation, not a standard script.

Connect with our Data & Analytics team

Connect with our Data & Analytics team

Start with a focused conversation about the decision, context and outcome you need. We will involve the right capability lead from the outset.

Connect with our Data & Analytics team

Practice lead

Ali bin Hussien Al Qahtani

Managing Partner, Riyadh

Partnership accountability for client mandates, practice quality and integrated delivery