Learn Zohar's tips in the video above, or read on for this invaluable advice!
As an analyst, do you ever find it difficult to communicate insights to executives and other business stakeholders? Do your complex data analyses lead to confusion rather than clear direction?
Don't worry: In this post, we'll talk about some proven techniques to frame analytics in business terms and generate more productive discussions.
The key question is: How can analysts better present data and recommendations to drive business priorities and actions?
Framing Discussions in the Business Context
When meeting with executives, it’s critical to frame every insight in the context of specific business issues and objectives. Rather than presenting abstract statistics, show how the analysis ties to real-world actions that address stakeholder priorities. Discuss the potential business impact if recommendations are followed.
Supporting Focused Insights and Actions
Resist the temptation to overload stakeholders with extraneous data. Narrow the focus to analytics that directly address the most pressing business needs. Relate each insight back to tangible actions that can be taken or decisions that need to be made.
Remember, the goal is to motivate change, not just share information.
Using Customer Churn as an Example
Let’s walk through an example using customer retention. To increase renewal rates, an analyst might highlight at-risk segments with a high likelihood of churning. This focuses the discussion on what incentives or upgrades could improve retention for those segments. The data is now tied directly to real-world decisions, not just abstract statistics.
Becoming a Strategic Advisor
Following these best practices will lead to clearer, more productive data discussions with executives. By framing insights around specific business issues and actions, analysts become true strategic advisors rather than just reporting findings.
Ready to level up? Try Pecan for free to harness analytics across your business and turn data into strategic direction.
Zohar Bronfman is the co-founder and CEO of Pecan AI, working at the intersection of machine learning, causality, and real-world decision-making. He holds two PhDs—one in computational neuroscience and one in the philosophy of science—bringing an unusually rigorous lens to applied AI. Zohar focuses on turning predictive models into systems that reliably change outcomes inside complex organizations. He is a frequent voice on the future of AI and decision intelligence, with appearances in top-tier tech and business media and on leading industry podcasts. His work bridges deep theory and execution, aiming to make artificial intelligence both more accessible and more consequential.
