1. Arrange hands-on data analysis workshops with an external expert. For example, a data scientist could teach your team to interpret key business metrics. 2. Assign small data-driven projects, like tracking website traffic, to build skills through real-world application. 3. Pair less experienced team members with those more data-savvy. For instance, a marketing analyst might mentor a colleague on how to use Google Analytics.

To ensure my team's data training sticks and enhances strategic discussions, I focus on a hands-on, goal-oriented approach. ?? I start by setting clear, specific goals aligned with the data skills critical for success. ?? Then, I implement interactive, real-world learning—immersing the team in practical scenarios that mirror our challenges. ??? Progress is consistently tracked through metrics, allowing me to tweak the training as needed. ?? I also encourage ongoing feedback, so the team feels engaged and supported throughout the learning process. ?? How do you make sure training resonates with your team?

Is being strategic in your nature or can you be nurtured to be strategic? In my experience, I have encountered people who are naturally curious, disciplined, logical, and strategic in their thought process. I have also taught strategic thinking and coached people through tactical strategic thinking processes and have seen that most people who have both the nature and nurture combination usually achieve amazing accomplishments. You can teach your team to understand how to interpret data and may want to assist them in unrelated industries with fun ways of engaging them so they realize how wonderful it is to put the whole picture together and work in a strategic way.

As Peter Drucker said ‘What gets measured, gets managed.’ This is especially true in today's data-driven world. Here are some tips: Starting small: Introducing data concepts gradually and building on their understanding. Integrating data into existing systems: Adding data options to tools like ERPs to make data more accessible. Identifying and empowering data leaders: Recognizing and supporting team members with a natural aptitude for data. Providing mentorship: Pairing experienced team members with those seeking to improve their skills. Encouraging experimentation: Creating a safe space for employees to try new techniques and tools. Share with them about the newer possibilities for their career growth and their ability to contribute.