The CDO Playbook: How Holland & Barrett built a data-driven organization | Amazon Web Services

Опубликовано 11 декабря 2024, 16:51

Join us for an insightful conversation between Ismail Makhlouf and Dobo Radichkov, Chief Data Officer at Holland and Barrett, for an insightful exploration into building a data-driven organization. This detailed conversation covers the evolution of data strategy, leveraging cloud technologies, and the importance of data governance. Watch as they delve into the 'data kitchen' concept, illustrating the practical steps of data preparation, analysis, and utilization in driving business strategy.

Timestamps:
• 00:00 - Introduction to Dobo Radichkov
• 02:35 - Building Data Foundations in Legacy Businesses
• 08:20 - Transitioning Strategies in Data-Driven Environments
• 14:25 - Leadership Insights on Data Management
• 21:50 - Implementing AWS Technologies for Effective Data Handling
• 29:05 - Addressing Challenges in Digital Transformations
• 35:35 - Data Integrity and Security: Best Practices for Governance
• 38:49 - Exploring the 'Data Kitchen': Insights on Data Preparation and Analytics
• 42:15 - The Future of AI and Decision-Making Processes in Business
• 48:55 - Developing Career Paths and Skills for Aspiring Data Professionals
• 54:20 - Key Takeaways and Strategic Advice for Data Professionals

Resources:
• Holland & Barrett reaps healthy rewards from pivot to modern data management with AWS: go.aws/4gisMql
• How Holland & Barrett built a '3-Michelin Star' modern data architecture on AWS: go.aws/3Pauvm5
• Holland & Barrett rolls out AI-driven footfall analytics: go.aws/3Vxez0L
• AWS Data Strategy Team: go.aws/3SgkoOX

Explore More:
AWS for Data YouTube Series: go.aws/48vBSfR

AWS for Data is where we invite experts to dive into the challenges of and solutions to unlocking insights from data at scale. Leveraging real life experience of what it takes to manage data effectively on the ground, we discuss topics such as data strategy, building a data culture, creating business value with GenAI, and maximizing the ROI on your data assets.

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