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Tag: Data Governance Blogs

How to Implement a Data Quality Framework

According to IDC, 30-50% of businesses experience gaps between their data expectations and reality. They have the data they need, but due to the presence of...

Data Lakes Are Dead: Evolving Your Company’s Data Architecture

You know you’re not getting the most out of your data. How can your company redesign its data architecture without making the same mistakes...

A Root-Cause Framework for Trans-Atlantic Data Privacy

When the United States and the European Commission together announced a new Trans-Atlantic Data Privacy Framework earlier this year, the news didn’t raise too many eyebrows....

Dear Laura: Should I Leave My Data Governance Job?

Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot...

How a Modern Data Engineering Stack Can Help Create a Data-Driven Culture

Creating a collaborative, data-driven culture is one of the most important goals of many modern organizations. However, access to the data and data processing...

Why Data Quality Problems Plague Most Organizations (and What to Do About It)

For business leaders to make informed decisions, they need high-quality data. Unfortunately, most organizations – across all industries – have Data Quality problems that...

The Trend Toward Emphasizing Data Minimization

With GDPR being the “shot heard ’round the world,” the digital industry, the regulators, and the courts have developed and readjusted the way in...

Why Data Access Governance Is Key to Going Faster

Every day, businesses create, collect, compile, store, and share exponentially growing amounts of data. When put to use effectively, sales teams can boost revenue, marketing can...

3 Data Management Tips to Help Plan for the Day After Tomorrow

Economic disruptions are forcing organizations to rethink the way they plan. Gone are the days of Excel and manual forecasting because much like the...

Data Audit in the Age of Machine Learning: Goals and Challenges

Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical...

How to Overcome the Plateau of Data Analytics Advancement in Today’s Data Overload

The last few years have seen an astronomical increase in the amount of data being created, stored, and shared. According to the IDC, 64.2 zettabytes...

Focus on Your Most Critical Data Lineage to Manage Risk

Data lineage is extremely important since unknowns in the data flow are a root cause of enterprise risk. Enterprise Risk Management and Data Governance...

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