Today, approximately 30% of the world’s data volume is being generated by the healthcare industry. In 2025, the compound annual growth rate of data for healthcare will reach 36%. That’s 6% faster than manufacturing, 10% faster than financial services, and 11% faster than media & entertainment. As healthcare organizations expand, CDOs are confronted with a critical question: How should the data and analytics department be organized? Should it adopt a decentralized approach with independent regional teams, centralize operations at the headquarters, or opt for a federated model combining central and regional teams?

• Discuss the benefits and pitfalls of each approach, to determine the changes you might want to make to your own enterprise’s data governance strategy
• Consider how different models behave with regards to streamlining processes, ensuring compliance, addressing coordination challenges, potential conflicts and the risk of duplication

As technology evolves, roles in data and analytics shift but to be able to stay up to date the team’s competencies need to be upskilled to include a high degree of business acumen to be able to bridge technical ability with organizational goals and integrate in the wider business.

• Discuss the importance of building hybrid skill sets in bridging business and technical acumen
• Share stories of successfully integrated business context into your data projects
• Debate the role of the team in balancing innovation with ethical responsibilities