Data governance is a complex topic. In a nutshell, it refers to the aspect of data management concerning an organization's ability to ensure (A) that high data quality exists throughout the complete data lifecycle, and (B) that sufficient data controls are in place to support business objectives. In practice, data governance is the collection of processes, roles, policies, and standards that ensure a balance between access and control for information throughout an organization.

What is data governance? Well, for one, it is a buzzword. And, with buzzwords, we often forget to slow down and investigate what they actually entail. This article is dedicated to exploring five essential elements of data governance – emphasizing the importance of implementing it from end to end.

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Doing so and truly understanding the data is more important than ever, especially when data privacy regulations are tightening.

Modern Data Foundation for AI-Driven Results The following is Part II of a three-part series. In Part I of this series, I noted the following: “With just a few clicks on my smart device, I can review data on every place I’ve been, how much I spent, each step I took, what the weather was like and who I was with. Businesses collect the same abundance of data. However, are we getting the benefit and insights from what’s collected?

According to TechTarget , data governance is managing the integrity, security, availability, and usability of data in an organization's system. Effective and efficient data governance makes sure data is accurate and consistent. There are several predictions regarding data governance you need to know.

In this episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Samir Boualla, CDO at ING Bank France, one of the largest banks in the world. They cover his battlescars in Driving Data Governance Across Business Teams and Building Data Products. At ING Bank France, Samir is the Chief Data Officer. He’s responsible for several teams that govern, develop, and manage data infrastructure and data assets to deliver value to the business.

Hopefully you’ve been following along with our BigQuery Admin series and are well on your way to getting ramped up with BigQuery. Now that you’re equipped with the fundamentals, let's talk about something that’s relevant for all data professionals - data governance.

Businesses today are powered by data. This data needs to be high quality and manageable but also compliant with rules and regulations. In order to ensure data is manageable and secure, data governance protocols provide better control and organization. The process of data governance refers to the effective management of technology, processes, and even people within a company or organization. Read on to learn why it's the future of business.

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. Requirements, however, have changed significantly in recent years.