Part 13/14:
In the final thoughts, the speaker emphasizes that irrespective of technological advancements, the fundamentals—such as understanding data, problem framing, and basic analytical skills—are paramount. Building a talent pool that first masters the basics before progressing to complex modeling is essential.
They advocate for a balanced approach: training a core group in advanced techniques while ensuring everyone has a sufficient grasp of basics to prevent overreliance on high-end models. This foundation is vital for sustainable growth and trust in analytics outputs.