Four persistent challenges define the technology agenda for senior executives across industries
The key challenges on the technology adoption journey
Our services
Our practice addresses the full technology lifecycle - from setting direction and modernizing platforms to unifying data and embedding AI across the enterprise.
Why choose KPMG
Frequently asked questions - FAQs
What enterprises ask about technology consulting
Enterprise technology services cover the full lifecycle of technology in an organization - strategy, architecture, system selection, implementation, integration, and ongoing optimization. For KPMG in Vietnam, this spans CIO & CTO Advisory, Enterprise Technology Solutions, Data & Analytics, and Innovation AI & Digital Transformation.
Digital transformation is the integration of technology into all areas of a business, fundamentally changing how it operates and delivers value. The starting point is a clear digital strategy that aligns technology investments with business outcomes - not a technology roadmap, but a business change program enabled by technology.
An enterprise application platform is a suite of integrated software tools that connects core business functions - from ERP and CRM to data and analytics. Choosing the right platform depends on your industry requirements, scalability needs, total cost of ownership, and existing technology landscape. A structured vendor evaluation is essential before committing.
An enterprise architecture framework provides a structured method for designing and managing an organization's IT landscape. TOGAF is the most widely adopted framework globally. However, the choice of framework should reflect your organization's size, governance maturity, and transformation ambition rather than a default selection.
AI enablement means building the organizational capabilities - people, processes, governance, and technology - to adopt and scale AI across the enterprise. It goes beyond deploying a tool; it requires readiness assessment, use case prioritization, workforce upskilling, responsible AI guardrails, and a clear framework for measuring value.
A digital transformation strategy that delivers results starts with leadership alignment, not a technology selection. It requires a clear vision linked to measurable business outcomes, a phased roadmap with defined milestones, governance structures to manage complexity, and a change management program that brings people along through each stage.