The evolution of data platforms
Data platforms have evolved to meet growing demands regarding scalability, security, and real-time insights. Businesses rely on them for analytics, AI, and compliance, but challenges remain – legacy migrations, governance, and integrating unstructured data. Understanding these shifts helps organizations make smarter decisions when investing in data infrastructure.
Key considerations when building a data platform
Success depends on strategy, architecture, and scalability—not just technology. Companies must weigh cloud vs. on-premise solutions, avoid common pitfalls, and choose the right vendors. A well-planned approach ensures efficiency, cost-effectiveness, and long-term sustainability.
Industry-specific challenges & complex scenarios
Every industry has unique data challenges. Finance and healthcare focus on compliance, while manufacturing and retail require real-time insights. Migrations, regulatory requirements, and integrating data from mergers add complexity. Knowing how to navigate these challenges is crucial for a robust, future-proof platform.
Why attend this Crash Course?
This is a technical Crash Course designed for non-technical professionals. You don’t need to be a developer, but having a strong understanding of data platforms will help you make better decisions, align expectations with your tech teams, and drive more successful projects. If you’re a CIO, Head of Analytics, business stakeholder, or data leader, this session will provide the knowledge you need to understand what’s “under the hood.”
With technology evolving rapidly, staying informed is essential. Gaining insights into data platform strategy, implementation, and best practices will help you upskill, reskill, and ensure your organisation is set up for long-term success. Watch the course!
