Data Cleaning and Preparation for AI Implementation

Artificial Intelligence and allied technologies such as Machine Learning, Neural Networks, Natural Language Processing, etc. can influence businesses across industries. By 2030, AI is believed to have the potential... Read more »

Top 7 Data Quality Trends to Watch for 2023

Our dependence on data shows no signs of slowing down. We’re collecting data directly from customers, appending it from third-party resources, social media, etc. but as many companies have... Read more »

12 Data Quality Metrics That ACTUALLY Matter

Why do data quality metrics matter? If you’re in data, you’re either currently working on a data quality project or you just wrapped one up. It’s the law of... Read more »

How BlaBlaCar Built a Practical Data Mesh to Support Self-Service Analytics at Scale

As part of my job, I’m fortunate enough to speak with data leaders far and wide about how they are tackling some of our industry’s biggest challenges, from implementing... Read more »

Do Data Stewards Have The Worst Seat At The Table?

In his seminal 2017 blog post, The Downfall of the Data Engineer, Maxime Beauchemin wrote that the data engineer had the worst seat at the table. Data technology and... Read more »

How to Build Data Products Your Company Will Actually Use

Across both public and private sectors, more organizations are adopting a “data-driven” mindset-or, at least, data-driven messaging. But in reality, most aren’t prepared for the reality of what it... Read more »

When Pristine Data Isn’t Pristine

The data that you consider pristine and absolutely perfect for its intended use can turn into an absolute mess overnight if the data is used in a different way.... Read more »

6 Reasons Why Companies Fail at Data Governance

This article was written with Teresa Kovich, Principal Consultant at Das42. Everywhere we go in the cloud data space today, we’re hearing one message loud and clear: “you should... Read more »
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