DataKitchen

APRIL 24, 2025

White Paper: A New, More Effective Approach To Data Quality Assessments Data quality leaders must rethink their role. They are neither compliance officers nor gatekeepers of platonic data ideals. They are advocates. Using their language and metrics, they must campaign for change, build coalitions, and show stakeholders why quality matters. This is not a theoretical shift; it is a practical one.

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Data Quality Metrics IT 100

DataKitchen

APRIL 24, 2025

DataKitchen Is One Of The Coolest DataOps & Data Observability Companies of 2025 Were thrilled to share that DataKitchen has once again been named one of the Coolest DataOps & Data Observability Companies for 2025 by CRN! Its an honor to be recognized alongside such innovative leaders in the space. As the first company to define and deliver DataOps , were especially excited to see how this list continues to growproof that the movement we helped start is gaining momentum.

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IT 117

DataKitchen

APRIL 18, 2025

Welcome to the Data Quality Coffee Series with Uncle Chip Pull up a chair, pour yourself a fresh cup, and get ready to talk shopbecause its time for Data Quality Coffee with Uncle Chip. This video series is where decades of data experience meet real-world challenges, a dash of humor, and zero fluff. Uncle Chipaka Charles Bloche of DataKitchenhas spent his career deep in the trenches of data engineering, wrangling pipelines, building platforms, and navigating the all-too-familiar chaos of data qu

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DataKitchen

APRIL 18, 2025

Welcome to the Data Quality Coffee Series with Uncle Chip Pull up a chair, pour yourself a fresh cup, and get ready to talk shopbecause its time for Data Quality Coffee with Uncle Chip. This video series is where decades of data experience meet real-world challenges, a dash of humor, and zero fluff. Uncle Chipaka Charles Bloche of DataKitchenhas spent his career deep in the trenches of data engineering, wrangling pipelines, building platforms, and navigating the all-too-familiar chaos of data qu

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Data Quality Dashboards Testing IT 109

DataKitchen

APRIL 18, 2025

Data Quality When You Dont Understand the Data : Data Quality Coffee With Uncle Chip #3 Lets be honestdata quality feels impossible when you dont understand the data. And in large organizations, thats not a rare problem. Its the norm. Ive seen it firsthand: massive data estates maintained by teams who dont know what the numbers, strings, or categories in their tables really mean.

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DataKitchen

APRIL 16, 2025

A New, More Effective Approach To Data Quality Assessments In DataKitchens recent webinar, CEO Christopher Bergh offered a compelling new approach to a timeless problem: how do we improve data quality in organizations where no one truly owns it, everyone needs it, and no one has the authority to enforce change? With clarity and a bit of dry humor, Bergh laid out the uncomfortable truth that improving data quality is less about perfect metrics and more about influence, agility, and a bit of perso

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DataKitchen

APRIL 14, 2025

Why Data Quality Dimensions Fall Flat : Data Quality Coffee With Uncle Chip #2 In this playful yet pointed talk, Data Quality Coffee With Uncle Chip’ kicks things off by poking fun at the overcomplicated world of data quality dimensions. With so many dimensions and no consensus on definitions, vague terms like “accuracy” and “validity” just blur together.

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DataKitchen

APRIL 9, 2025

Why Data Quality Isnt Worth The Effort : Data Quality Coffee With Uncle Chip Data quality has become one of the most discussed challenges in modern data teams, yet it remains one of the most thankless and frustrating responsibilities. In the first of the Data Quality Coffee With Uncle Chip series, he highlights the persistent tension between the need for clean, reliable data and its overwhelming complexity.

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DataKitchen

APRIL 3, 2025

Improving data quality can feel overwhelming. There are so many things to fix and so many processes to improve. Where do you even start? Surprisingly, the answer may come from an unusual placeflossing your teeth. Start Small to Build Better Habits In the book Tiny Habits by B.J. Fogg, the author suggests a simple way to build habits. If you want to start flossing your teeth, dont aim for a perfect routine right away.

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Data Quality IT 189

DataKitchen

APRIL 1, 2025

Groundbreaking Study: Trusting Your Gut 78.45% More Effective Than Data-Driven Decisions, Say Top Execs April 1, 2025: CAMBRIDGE, MA In a shocking reversal of modern business orthodoxy, a joint study from Harvard Business School and Gartner has concluded that trusting your gut and doing what sounds good are 78.45% more effective than traditional data analytics, integration, or any attempt to be data-driven.

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DataKitchen

MARCH 26, 2025

Announcing Actionable, Automated, & Agile Data Quality Scorecards Are you ready to unlock the power of influence to transform your organizations data qualityand become the hero your data deserves? Watch the previously recorded webinar unveiling our latest innovation: Data Quality Scorecards, powered by our AI-driven DataOps Data Quality TestGen software.

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DataKitchen

MARCH 20, 2025

Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges. We’ve identified two distinct types of data teams: process-centric and data-centric.

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DataKitchen

MARCH 13, 2025

How Data Quality Leaders Can Gain Influence And Avoid The Tragedy of the Commons Data quality has long been essential for organizations striving for data-driven decision-making. Despite the best efforts of data teams, poor data quality remains a persistent challenge, leading to distrust in analytics, inefficiencies in operations, and costly errors. Many organizations struggle with incomplete, inconsistent, or outdated data, making it difficult to derive reliable insights.

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Data Quality Scorecard Data-driven Cost-Benefit 189

DataKitchen

FEBRUARY 20, 2025

Announcing DataOps Data Quality TestGen 3.0: Open-Source, Generative Data Quality Software. Now With Actionable, Automatic, Data Quality Dashboards Imagine a tool that can point at any dataset, learn from your data, screen for typical data quality issues, and then automatically generate and perform powerful tests, analyzing and scoring your data to pinpoint issues before they snowball.

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DataKitchen

FEBRUARY 17, 2025

No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically As a data engineer, ensuring data quality is both essential and overwhelming. The sheer volume of tables, the complexity of the data usage, and the volume of work make manual test writing an impossible task to get done.

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DataKitchen

DECEMBER 17, 2024

The Gartner presentation, How Can You Leverage Technologies to Solve Data Quality Challenges? by Melody Chien, underscores the critical role of data quality in modern business operations. High-quality data is the blood that sustains the organizational value chainimpacting everything from logistics to services, sales, and marketing. Poor data quality, on average, costs organizations $12.9 million annually , or 7% of their total revenue.

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DataKitchen

DECEMBER 9, 2024

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse.

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DataKitchen

DECEMBER 6, 2024

Would you like help maintaining high-quality data across every layer of your Medallion Architecture? Like an Olympic athlete training for the gold, your data needs a continuous, iterative process to maintain peak performance. We covered how Data Quality Testing, Observability, and Scorecards turn data quality into a dynamic process, helping you build accuracy, consistency, and trust at each layerBronze, Silver, and Gold.

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DataKitchen

NOVEMBER 27, 2024

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. Data quality dashboards have emerged as indispensable tools, offering a clear window into the health of their data and enabling targeted actionable improvements. However, not all data quality dashboards are created equal.

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Data Quality Dashboards Metrics Cost-Benefit 215

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. The Medallion architecture is a design pattern that helps data teams organize data processing and storage into three distinct layers, often called Bronze, Silver, and Gold.

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DataKitchen

OCTOBER 30, 2024

“That should take two hours, not two months. Can’t your Data & Analytics Team go any faster?” “The executives’ dashboard broke! The data’s wrong! Can I ever trust our data?” If you’ve ever heard (or had) these complaints about speed-to-insight or data reliability, you should watch our webinar, DataOps for Beginners, on demand. DataKitchen’s VP Gil Benghiat breaks down what DataOps is (spoiler: it’s not just DevOps for data) and how DataOps can take your Data & Analytics factory fro

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DataKitchen

OCTOBER 10, 2024

Read Our New White Paper: Data Quality The DataOps Way Data quality isn’t just a technical hurdle—it’s a strategic necessity in the data-driven world. Traditional methods fall short, but the DataOps approach to data quality offers a transformative path forward. It empowers individuals to act swiftly, enables continuous improvement, and fosters collaboration across organizational silos.

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DataKitchen

OCTOBER 8, 2024

Christopher Bergh is the CEO and Head Chef at DataKitchen. Chris has more than 30 years of research, software engineering, data analytics, and executive management experience. At various points in his career, he has been a COO, CTO, VP, and Director of engineering. Enjoy the chat.

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DataKitchen

SEPTEMBER 18, 2024

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. According to DataKitchen’s 2024 market research, conducted with over three dozen data quality leaders, the complexity of data quality problems stems from the diverse nature of data sources, the increasing scale of data, and the fragmented nature of data systems.

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DataKitchen

SEPTEMBER 9, 2024

From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts Most data teams work with a dozen or a hundred pipelines in production. What do you do when you have thousands of data pipelines in production? How do you understand what is happening to those pipelines? Is there a way that you can visualize what is happening in production quickly and easily?

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DataKitchen

AUGUST 22, 2024

Data Quality Circles: The Key to Elevating Data and Analytics Team Performance Introduction: The Pursuit of Quality in Data and Analytic Teams. According to a study by HFS Research, 75 percent of business executives do not have a high level of trust in their data. High-quality data underpins the reliability of insights, models’ accuracy, and decision-making processes’ efficacy.

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DataKitchen

AUGUST 20, 2024

DataOps, the promising future that nobody seems to be able to make reality. But not for lack of trying: meet Chris Bergh, "Head Chef" at DataKitchen, joining us again to tell us how te filed evolved over the last few years. To get in.

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DataKitchen

AUGUST 16, 2024

2024 Gartner Market Guide To DataOps We at DataKitchen are thrilled to see the publication of the Gartner Market Guide to DataOps, a milestone in the evolution of this critical software category. As the pioneer in the DataOps category, we are proud to have laid the groundwork for what has become an essential approach to managing data operations in today’s fast-paced business environment.

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DataKitchen

AUGUST 8, 2024

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

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IT 190

DataKitchen

AUGUST 6, 2024

Chris Bergh joins me to chat about all things DataOps. We also discuss lean, removing waste from data processes and teams, and much more.

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Data Processing 130

DataKitchen

AUGUST 6, 2024

Summary In this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Chris Berg, CEO of DataKitchen, to discuss his ongoing mission to…

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Data Processing 130

DataKitchen

AUGUST 6, 2024

DataKitchen’s Data Quality TestGen found 18 potential data quality issues in a few minutes (including install time) on data.boston.gov building permit data! Imagine a free tool that you can point at any dataset and find actionable data quality issues immediately! It sure beats having your data consumers tell you about problems they find when you are trying to enjoy your weekend.

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DataKitchen

JULY 8, 2024

Christopher Bergh, CEO of DataKitchen, is transforming data analytics with his DataOps approach. By applying principles from agile and lean manufacturing, Bergh aims to eliminate the 70-80% waste in data processes. DataKitchen's suite of open-source tools offers solutions for observability, testing, and automation, addresses challenges in rapid change management, error detection team productivity.

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DataKitchen

JUNE 21, 2024

Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis Ah, the data quality crisis. It’s that moment when your carefully crafted data pipelines start spewing out numbers that make as much sense as a cat trying to bark. You know you’re in trouble when the finance team uses your reports as modern art installations rather than decision-making tools.

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DataKitchen

MAY 14, 2024

Data Observability and Data Quality Testing Certification Series We are excited to invite you to a free four-part webinar series that will elevate your understanding and skills in Data Observation and Data Quality Testing. This series is crafted for professionals eager to deepen their knowledge and enhance their data management practices, whether you are a seasoned data engineer, a data quality manager, or just passionate about data.

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DataKitchen

MAY 10, 2024

Harnessing Data Observability Across Five Key Use Cases The ability to monitor, validate, and ensure data accuracy across its lifecycle is not just a luxury—it’s a necessity. Data observability extends beyond simple anomaly checking, offering deep insights into data health, dependencies, and the performance of data-intensive applications. This blog post introduces five critical use cases for data observability, each pivotal in maintaining the integrity and usability of data throughout its journe

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DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Sources (#1) Introduction to Data Evaluation in Data Observability Ensuring their quality and integrity before incorporating new data sources into production is paramount. Data evaluation serves as a safeguard, ensuring that only cleansed and reliable data makes its way into your systems, thus maintaining the overall health of your data ecosystem.

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