Traditional insurance data governance initiatives frequently fall short of expectations because they focus too heavily on policies, compliance, and enforcement. That can lead to a disconnect between...
Data analytics and Artificial Intelligence play an increasingly pivotal role in most modern organizations. To keep those initiatives on track, enterprises must roll out data governance programs to...
Big data has come of age. We are at a turning point in analytics, as business leaders find new ways to drive meaningful results with data. Companies are going beyond the tactical benefits of...
As organizations scramble to tap into the immense value of all the data available to them, they also struggle with a growing set of challenges. Data governance aims to gain control of the various...
Data quality helps you understand your data and ensure it’s accurate, consistent, and complete while a data governance framework allows you to proactively find and manage your data for better...
Data quality is crucial to business today. Without it, business leaders can’t make confident business decisions and business analysts can’t provide reliable intelligence to the executives and...
With growing regulations and greater public concern over data privacy, companies are increasingly focused on data governance. Yet there’s no single way for a business to approach data governance...
Enterprise use of Artificial Intelligence (AI) and machine learning is growing rapidly. A 2019 report by Gartner reveals that over the previous four years, the number of enterprises employing AI grew...
How do you enforce data quality best practices? A good place to start is your data governance strategy and policy, which should be designed with data quality goals front-and-center. To understand how...
