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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