Data & Digital Transformation

Connect digital and data investment to business outcomes, with the governance, operating model and delivery discipline needed to make the change usable.

Data & Digital Transformation

Delivery in practice

We assess whether the organisation’s data, integrations and operating practices can support its digital ambitions. This gives leaders a basis for investment in analytics, automation and AI-enabled opportunities.

01

Define outcomes and readiness

Align digital transformation strategy with business priorities and the operating model. Assess information quality, ownership, capability and the constraints on change.
02

Strengthen data foundations

Establish data governance, migration and reconciliation requirements. Connect reporting, BI and analytics to reliable definitions, interfaces and decision needs.
03

Govern platforms and automation

Coordinate cloud, enterprise platforms, integration and automation choices. Assess AI opportunities against the available data, controls and operational needs.
04

Deliver and embed

Connect technical workstreams to testing, adoption and benefits. Govern security, cyber, infrastructure and network dependencies where they affect the transformation outcome.
Our method

Digital & Data Readiness Diagnostic

Used before platform, analytics or automation investment, or when existing digital work is not producing the intended business value.

What it examines

Data strategy, governance, quality, integration, cloud/platform dependencies, automation suitability, controls, operating-model impact and adoption.

Indicative outputs

A readiness profile, priority foundation gaps, investment dependencies and a sequenced digital/data roadmap.

The decision it supports

Leaders can identify viable opportunities and the groundwork needed to deliver them responsibly.

Relevant experience

Digital platforms, data and automation.

PearsonGoldman brings experience across Azure, Power Platform, UiPath RPA, Dynamics 365, Salesforce and enterprise integrations, alongside data migration, reconciliation, BI/reporting and digital-service modernisation. Relevant experience includes AI-enabled automation initiatives and cyber/security transformation.

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