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
The Data + AI conference in early June brought together data practitioners from across the globe both in-person and virtually. Over the course of four days attendees had the opportunity to complete trainings, compete in hackathons, attend informational sessions, and hear about the new features coming to the Databricks Data Intelligence Platform. This year it
The modern enterprise thrives on data to fuel innovation, drive customer experiences, and inform critical business decisions. Still, many organizations are wrestling with legacy data systems that hinder their ability to compete and thrive. Data modernization is no longer a “nice-to-do” IT project; it’s an absolute business imperative. It’s about transforming your organization’s data infrastructure,
How to succeed in governance projects Data governance is a necessary step in creating a healthy and robust environment that drives business decisions and eases barriers to information across any organization. That being said, it’s gotten a bad rap. Finding someone who enjoys doing documentation is a rarity, and at its core, that is the
Analytics community governance is the concept that those who know the data most – those who create, analyze, and draw conclusions from the data – should be the ones creating governance policies around that data. Also known as bottom-up data governance, this practice ensures buy in from key stakeholders and end users while also creating
Ask a group of people to define “data governance” and you’ll get various responses. Ironically, the term itself suffers from ambiguity, so here is how we define it: Digital transformation initiatives are a key driver for needing such data clarity, but there are others that we should keep in mind listed briefly here: One obvious
When it comes to the digital transformation of the Healthcare Industry, our partner Informatica is leading the way with the technology, solutions, and partners to successfully facilitate this change. In this latest blog, Informatica’s Richard Kramer, Chief Healthcare Strategist at Informatica, explains our approach to data governance. We believe in managing the movement of data
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