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!