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Tag: Data Quality

Data Observability: Reliability In The AI Era
When we introduced the concept of data observability four years ago, it resonated with organizations that had unlocked new value…and new problems thanks to the modern data stack. Now, four […] The post Data Observability: Reliability In The AI Era appeared first on Datafloq.
Mastering Data Quality: Strategies, Solutions, and Impact on Business Success
To stay viable in today's constantly changing market, businesses need to be able to anticipate what comes next and react quickly. It comes down to the power they have over […] The post Mastering Data Quality: Strategies, Solutions, and Impact on Business Success appeared first on Datafloq.
Who Done It? 3 Possible Suspects in this Halloween’s Bad Data Horror Movie, And How Data Teams Can Make It Out Alive
In this contributed article, Lior Gavish, CTO and Co-Founder of Monte Carlo, outlines some of the ways companies can erase themselves from ever appearing in these bad data horror stories, ranging from simple tips to bolster governance within their organization, to tools and best practices that will save data teams …
Startups Use Data and Agile for Portfolio Management
“Everybody needs data literacy, because data is everywhere. It’s the new currency, it’s the language of the business. We need to be able to speak that.” – Piyanka Jain. Data-driven business management has emerged as an invaluable tool for businesses of all sizes, from startups to large corporations. With a …
Data is the foundation of AI, and quality is non-negotiable
The relentless growth of Software-as-a-Service (SaaS) has been one of the defining success stories of the past decade. SaaS is now the default model for new software products, and there […] The post Data is the foundation of AI, and quality is non-negotiable appeared first on Datafloq.
Top Six Data Quality Fixes to Maximize AI Potential
From medicine to manufacturing, AI has a significant presence across industries. The potential to improve systems with AI is limitless. That said, AI tools are only as useful as the […] The post Top Six Data Quality Fixes to Maximize AI Potential appeared first on Datafloq.
Implementing Data Version Control to Ensure Compliance
In the ever-changing world of data-driven decision-making and regulatory requirements, ensuring compliance with data governance standards has become an indispensable aspect of modern organizations. Data compliance refers to the adherence […] The post Implementing Data Version Control to Ensure Compliance appeared first on Datafloq.
How to Build a 5-Layer Data Stack
Like bean dip and ogres, layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data […] The post How to Build a 5-Layer Data Stack appeared first on Datafloq.
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 to […] The post Data Cleaning and Preparation for AI Implementation appeared first on Datafloq.
State of Data Quality Report
Bigeye, the data observability company, announced the results of its 2023 State of Data Quality survey. The report sheds light on the most pervasive problems in data quality today. The report, which was researched and authored by Bigeye, consisted of answers from 100 survey respondents.
The Importance of Data Quality in Benefits
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.
Study Finds Data Quality is Still the Largest Obstacle for Successful AI and Greater Human Expertise Needed Across ML Ops Lifecycle
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 …
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 learned, […] The post Top 7 Data Quality Trends to Watch for 2023 appeared first on Datafloq.
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 bad […] The post 12 Data Quality Metrics That ACTUALLY Matter appeared first on Datafloq.
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 data […] The post How BlaBlaCar Built a Practical Data Mesh to Support Self-Service Analytics at Scale appeared first on Datafloq.
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 teams […] The post Do Data Stewards Have The Worst Seat At The Table? appeared first on Datafloq.
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 takes […] The post How to Build Data Products Your Company Will Actually Use appeared first on Datafloq.
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. While […] The post When Pristine Data Isn’t Pristine appeared first on Datafloq.