One challenge we’ve faced on this journey is language consistency. It might sound simple, but when different teams use different terms for the same capability or process, it creates confusion and slows us down. A few years ago, we created a working group to tackle this issue head-on. We brought together representatives from across the organization to agree on a common taxonomy for our data and capabilities.
It wasn’t easy. People asked, “Do we need to go back and update all our systems to reflect this new language?” The answer was no, but we did have to be consistent going forward. Now, when we talk about our products and services internally and externally, we’re speaking the same language. That consistency has made it easier to collaborate, market our offerings, and differentiate ourselves from competitors.
Being data-forward isn’t just about technology. It’s about aligning people, processes and purpose to drive meaningful outcomes. It’s about being willing to test hypotheses, learn from the results and continuously improve.
