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
Breakthroughs in Life Sciences happen within a unified data environment Imagine an environment where groundbreaking research gets locked on departmental servers, important patient insights only live in isolated databases, and critical financial data remains siloed from clinical trials. It may not be too difficult to imagine, as this, unfortunately, is the reality for many life
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