Addressing irregular levels of data literacy: State the key insights upfront in a language that all can understand and instantly draws attention to its implications rather than the technical details. Visuals, charts, or graphs are extremely handy in describing trends and outcomes such that complex data can start to make more sense. Critical metrics and terminology should first be defined in the process of setting context for individuals not as frequently exposed to data analysis. Encourage open questions, and be prepared to dive deeper into the technical aspects with the savvier members. Setting up your communication framework will help you have an inclusive yet productive discussion.

Para manejar diferentes niveles de alfabetización de datos, adapta tu comunicación. Usa visualizaciones claras y ejemplos prácticos para ilustrar tus puntos a quienes no están tan familiarizados con los datos. Esto hará que la información sea más accesible y comprensible para todos. ???? Además, fomenta un ambiente de aprendizaje continuo. Ofrece capacitación y recursos para que todos los miembros del equipo puedan mejorar su comprensión y uso de los datos. Al elevar el nivel de alfabetización de datos en toda la organización, facilitas discusiones más productivas y alineadas con las decisiones estratégicas. ????

In strategic discussions with varying data literacy levels, tailor your approach by simplifying complex data points into digestible insights. Use visuals like graphs and charts to highlight key trends. Provide context, explaining how the data aligns with business goals. Encourage questions and offer follow-up materials to ensure understanding across all levels.

One of the biggest mistakes which all the team leaders make is that they focus only on the quantitative part of the data and then try to analyse the trend and make the final decision but that is only 50% of the work. Looking at the qualitative aspect is equally important and this comprises of talking to frontrunners of the company and including them during brainstorming which gives the original perspective to things. Only then can a decision be taken.

Here’s a curveball: not every decision-maker needs to be “data-literate”—some need to be data-aware. Data literacy is a buzzword, but overemphasis can distract from intuition, a skill that’s crucial in leadership. Steve Jobs famously said, “People don’t know what they want until you show it to them,” highlighting that insights, not data, drive vision. Instead of pushing data fluency, present the “why” behind the numbers through stories and trends. This way, even the least data-savvy leaders understand the vision—and can move on it confidently.