As you progress in your career, your focus shifts from completing discrete tasks assigned to you, to owning larger projects. Being able to execute complex projects with limited support expands your potential impact on your organization. And as you take ownership of bigger initiatives, you’ll need strong project execution skills to see them through smoothly. Project execution is both an obvious and unappreciated need for senior data practitioners. Work settings often don’t clearly teach ...| Locally Optimistic
Mature data practitioners leverage their technical skills to maximize impact. Learn to work smarter, not harder.| Locally Optimistic
From 2019-2022, I was the data product manager of the business intelligence team at Unite, a sizeable European B2B procurement platform, where I guided our transformation from a “service team” to a “product team.” We went from implementing long lists of dashboards and reports for sales, customer services, and management to turning analytics inside the company upside down. When I left, we had just finished implementing a multi-year vision for the future of the company’s data platform...| Locally Optimistic
It seems like it happened slowly, then all at once. For some time it was the consensus that new data tools and technologies were going to be the thing that finally helped data teams break through, get executive buy-in, and drive the successful outcomes that we all knew they could. But in the past year or so, I’ve been seeing dissent. Commentators and thought-leader-types started asking if we’ve focused too much on technology, at the cost of staying in touch with the needs of the businesse...| wrongbutuseful.substack.com
Data teams aim to help the people in their organization make better decisions. Many data teams aren’t doing this as well as they could and are missing out on a huge opportunity, both for the organization and the team. This gap is due to teams not being set up for success, which undermines trust in the data and the insights the team generates. There is a better way to build and run a data organization: run it as if you were building a Data Product and all of your colleagues are your customer...| Locally Optimistic