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Trust makes digital transformation governable: leaders can set priorities, teams can coordinate work, and decision-makers can judge whether investments are producing results. Without reliable data, transparent progress reporting, and agreement between business and IT, even a sound strategy can lose support or drift away from customer needs.
Why does digital transformation depend on trust?
Transformation changes how an organization works, spends, serves customers, and manages risk. People need confidence that plans reflect reality, that reported progress is credible, and that decisions are made with shared priorities in view. Laureen Knudsen, Broadcom’s Chief Transformation Officer in its Agile Operations Division, describes trust as a fundamental enabler of business success in a January 30, 2024 CIO article.
Weak trust has practical consequences: leaders may lack transparency into work, struggle to track progress, or find that business and IT are pursuing different goals. When teams cannot rely on the measures used to report delivery, they cannot confidently distinguish a genuine obstacle from a reporting problem—or decide where to redirect resources. Knudsen’s article reports that a PwC survey found 91 percent of CEOs acknowledge trust’s pivotal role in success; that figure is reported there, and should not be treated as independently verified here.
How can organizations build trust in transformation data?
Create one credible view of work and outcomes
Knudsen proposes a cohesive digital operating model built around a singular, real-time data source, shared objectives, and clear success metrics. A common view helps business and technology leaders discuss the same work and its status rather than reconciling competing reports. The source is useful only if teams agree on what its measures mean, keep them current, and can trace them to decisions and outcomes.
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Use Value Stream Management to connect activity to value
Value Stream Management (VSM) maps and improves the end-to-end flow of work that delivers value to customers. Instead of treating each team or tool as an isolated unit, VSM helps expose handoffs, delays, and dependencies across the delivery path. That visibility can support better prioritization and help teams assess whether work is advancing a customer outcome, not merely generating activity. It is a management approach, not a substitute for trustworthy data or leadership decisions.
How should business and IT align around shared outcomes?
Alignment starts with outcomes that both sides can name and measure. Business leaders bring customer, market, and operational priorities; technology leaders explain delivery options, dependencies, and risks. Shared objectives and agreed success measures make trade-offs discussable: teams can decide what to deliver first, what to pause, and what evidence would show that a change worked.
A useful operating rhythm links strategy to work in progress. Leaders review progress against agreed measures, discuss changes in context, and make decisions visible to affected teams. If a metric changes, they should clarify whether the cause is a delivery result, a change in scope, or a change in how it is measured. This reduces the chance that reporting becomes a contest between functions instead of a basis for joint action.
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What role do leaders play in building trust?
Trust is reinforced by what leaders do: whether they communicate openly, align resources with stated priorities, and create conditions for collaborative work. TRUST: The Winning Formula for Digital Leaders, by Paul Mugge, Haroon Abbu, and Gerhard Gudergan, reports findings from a Patterns of Digitization survey of more than 500 companies. Its abstract distinguishes digitally developing organizations from digitally mature ones and describes mature organizations as aligning human and financial resources with strategy, enabling collaborative development environments, and promoting open, transparent communication.
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These behaviors make strategy more credible. If staffing and funding consistently support declared priorities, teams can see that the strategy is actionable. If leaders invite candid discussion of blockers and uncertainty, people have a reason to surface problems early rather than conceal them until a milestone is missed.
How do you measure digital trust?
Trust is not a single score. Measure the conditions that make it possible and the business outcomes it should support. ISACA’s State of Digital Trust 2023 examines digital trust’s benefits, obstacles, and measurement. For a transformation program, a practical measurement set can connect these dimensions:
- Transparency: Can stakeholders see current work, decisions, dependencies, and progress in a shared view?
- Alignment: Do business and IT teams share the intended outcomes and success measures?
- Resource alignment: Do people and funding support the priorities leaders have announced?
- Value: Is the work linked to defined customer or business outcomes, and can leaders assess whether those outcomes are being achieved?
- Resilience and security: Are changes supporting the organization’s ability to operate reliably and manage digital risk?
- Reputation: Are stakeholders’ confidence and the organization’s credibility considered alongside delivery results?
Choose a small set of measures that fit the transformation’s goals, define each measure consistently, and review it over time. A dashboard can show status, but it cannot establish trust by itself: teams also need to understand how the data is collected, what it leaves out, and how leaders act on it.
What governance is needed when data is shared?
Greater visibility does not mean unrestricted access. Shared data should have clear ownership, access rules, privacy protections, and accountability for how it is used. These safeguards matter especially when transformation involves public services, partners, or sensitive customer information.
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The OECD’s smart-city data governance example describes Singapore’s Digital Trust Centre as a S$50 million investment and notes joint public- and private-sector operation of data platforms under data-protection rules. The example illustrates the balance required: collaboration and data use need governance that protects people and establishes responsibility.
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