Data is everywhere, but access to it doesn’t always translate to value. Organizations have invested heavily in collecting data and deploying analytics platforms; however, for many teams, day-to-day reality still resembles a flood of ad hoc requests and delayed roadmaps. That’s where data productization comes in, not as a buzzword, but as a practical approach
Organizations today are sitting on more data than ever before, yet access to this data remains a persistent challenge. Teams often spend more time searching for data—or recreating what’s already available—because the path to existing assets is unclear. This isn’t a problem of infrastructure but a problem of experience. Data productization offers a new way
Drawing from extensive experience working with lots of fast-growing companies, I knew there was more to better decisions than just more tools, more dashboards, and more visualizations. In addition, getting to insights faster doesn’t always ensure you’ll get to the correct business aspirations. The essence of strategy is to find a unique position in your business that
I love home improvement, DIY blogs, and a good ‘rags to riches’ renovation. This blog isn’t about that. This is about my other love, data, and the ways in which organizations can continue to use data structures to save time, money, and resources while elevating their employees to higher levels and more rewarding tasks. This
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