Building a Data-Centric Strategy to Transform Digital Health

“Trissential’s approach to digital transformation provided a speed of change never seen before at [client].” – Chief Data Officer

Our client is a global leader in healthcare, medical research, and clinical innovation recognized the accelerating shift toward digital health – driven by consumer expectations, technological advances, and the growing importance of data. With a bold 2030 vision, this organization set out to reinvent healthcare by engaging people proactively, before illness, and positioning itself as a digital-first authority in complex care.

Challenge

To realize this ambitious vision, leadership needed to turn high-level strategy into actionable, enterprise-wide transformation. The challenge was not just about implementing technology but rethinking the organization’s relationship with data – treating it as a core asset rather than a byproduct. The organization aimed to move beyond being data-informed to becoming truly data-centric: using data to drive decision-making, deliver value to consumers, and create a competitive edge.

Solution

Trissential led strategic workshops and advisory engagements involving senior executives, clinicians, technologists, and administrative leaders. Together, they developed a unified strategy focused on data centricity – one that aligned people, processes, and technology around the transformative power of data. Key initiatives included:

• Designing an operating model and governance structure for data-centricity
• Standing up a new Department of Data & Analytics and appointing a Chief Data & Analytics Officer
• Establishing DataOps teams to drive cross-functional delivery and rapid innovation
• Promoting data literacy and a culture of agile, data-driven decision-making
• Enabling self-service analytics and treating data as a product to improve engagement, insight generation, and outcomes

Results

• Launched an enterprise-wide Data-Centric Strategy to support the 2030 digital health vision
• Built a new, business-led Department of Data & Analytics to increase data literacy and value delivery
• Introduced the “data as a product” model to foster business ownership, faster insights, and outcomes-based innovation
• Deployed agile DataOps teams that delivered significantly more value with less effort than traditional methods
• Continued long-term collaboration through strategic planning workshops and leadership alignment