Topic
Every post on the Index about decision making.
Jerry says big decisions need two questions: "And do what?" to test the alternative, and "And then what?" to trace the consequences. Analysis often stops at the first result, but what follows can make or break the choice.
By Jerry West
Todd argues that piling up data leads to indecision and clouds the KPIs that matter. Citing Publicis's planned LiveRamp acquisition as a sign of data's importance, Todd says clarity, focus and action beat volume and sophisticated tooling.
By Todd Kirk
Todd argues that organizations should check whether their strategies are ready before adopting AI. AI can produce options, but data scientists must weigh them, verify results rigorously, and keep human judgment central as data infrastructure and analytics frameworks adapt.
By Todd Kirk
Jeff argues that AI failures in marketing usually trace back to human oversight rather than faulty algorithms. Flawless code can't fix bad data, so decision-makers must own their choices, accept AI's limits, and turn insights into action.
Todd argues that marketers confuse data volume with value, and that dashboards which don't guide decisions create an illusion of progress. He calls for reflection over reaction and for AI that works with established marketing know-how.
By Todd Kirk
Joel argues that AI can take on analytical work, but it cannot replace human judgment. Without a culture that lets teams question AI outputs and layer in real-world insight, organizations risk being led blindly by the technology.
By Joel Breen