In this contributed article, Peter Nagel, VP of Engineering at Noyo, addresses the benefits/insurance industry’s roadblocks and opportunities — and why some of the most interesting data innovations will soon be happening in benefits.

iMerit, a leading artificial intelligence (AI) data solutions company, released its 2023 State of ML Ops report, which includes a study outlining the impact of data on wide-scale commercial-ready AI projects. The study surveyed AI, ML, and data practitioners across industries, and found an increasing need for better data quality …

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 learned, […] The post Top 7 Data Quality Trends to Watch for 2023 appeared first on Datafloq.

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 bad […] The post 12 Data Quality Metrics That ACTUALLY Matter appeared first on Datafloq.

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 data […] The post How BlaBlaCar Built a Practical Data Mesh to Support Self-Service Analytics at Scale appeared first on Datafloq.

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 teams […] The post Do Data Stewards Have The Worst Seat At The Table? appeared first on Datafloq.

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 takes […] The post How to Build Data Products Your Company Will Actually Use appeared first on Datafloq.

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. While […] The post When Pristine Data Isn’t Pristine appeared first on Datafloq.

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 be […] The post 6 Reasons Why Companies Fail at Data Governance appeared first on Datafloq.

In today’s world, data is more widely available to businesses than ever before. Whether it’s data about customer demographics, product colors that tend to sell better, or which cold email scripts are the most effective, organizations have the power to utilize data to help them inform their decision-making process in …

Big data can be an intimidating concept. Whether you’ve been using it for a while in your business or you’re just starting to explore the possibilities, there’s a lot to consider. Large corporations can hire dedicated data experts or even a full big data team, but small businesses have to …

For data teams, bad data, broken data pipelines, stale dashboards, and 5 a.m. fire drills are par for the course, particularly as data workflows ingest more and more data from […] The post 5 Strategies For Stopping Bad Data In It’s Tracks appeared first on Datafloq.

Data is a vital element in business decision-making. Modern technologies and algorithms allow for processing and storage of huge amounts of data, converting it into useful predictions and insights. But […] The post Assuring Data Quality: How to Build a Serverless Data Quality Gate on AWS appeared first on Datafloq.

Data lineage isn't new, but automation has finally made it accessible and scalable-to a certain extent. In the old days (way back in the mid-2010s), lineage happened through a lot […] The post Data Lineage is Broken – Here Are 5 Solutions To Fix It appeared first on Datafloq.

Trustable data can be defined as data that comes from specific and trusted sources and is used according to its intended use. It is delivered in the appropriate format and time frames for specific users. The post What is trustable data? Why do you need it? appeared first on Data …

With the world’s data multiplying in leaps and bounds, every organization is trying to make better business decisions in marketing, product development, and finance using insights from the data they hold. The value of businesses today can be measured by the quality of the data they hold. The post Best …

Say it with me: bad data is inevitable. It doesn't care about how proactive you are at writing dbt tests, how perfectly your data is modeled, or how robust your […] The post You Can’t Out-Architect Bad Data appeared first on Datafloq.

Before embarking on the data profiling exercise, an analyst must prepare by going through a data profiling analysis. The post 10 steps to data profiling for successful data discovery: Part II appeared first on Data Science Central.