How a Measured Data Stack Can Impact Business Decisions

In this episode of Data Analytics Chat, host Ben welcomes Matthew Paruthickal, Global Head of Data and AI Architecture Engineering at Sanofi, to discuss the evolution of data technology from single-box systems to agent AI. They explore Matthew's career journey, the importance of solving business problems with technology, and the significant moments that shaped his approach to data. Topics include the layered data stack, overcoming technical and organisational challenges, the role of trust and speed in data, and how businesses can leverage AI for better decision-making. 00:00 The Evolution of Data and AI 00:48 Introduction to the Podcast and Guest 01:48 Matthew's Career Journey 02:17 Technological Shifts in Data Management 03:46 The Importance of Trust and Speed in Data 07:40 Defining Moments and Career Setbacks 09:46 Mentorship and Business Value 16:51 Building a Layered Data Stack 19:09 Understanding the Layered Data Stack 20:12 Challenges in Executing a Layered Data Stack 21:14 Top-Down and Bottom-Up Approach 22:07 The Importance of Business Focus 23:53 Aligning Data Stack with Strategic Decision Making 26:30 E-commerce Data Challenges and Solutions 29:14 Common Difficulties in Data Tool Investments 31:17 Evaluating New Data Tools 35:27 Balancing Automation with Real-Time Insights 37:12 Conclusion and Final Thoughts Thank you for listening!