DataKitchen

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The Data Quality Revolution Starts with You

DataKitchen

The Data Quality Revolution Starts with One Person (Yes, That’s You!) Picture this: You’re sitting in yet another meeting where someone asks, “Can we trust this data?” and the room falls silent. Sound familiar? If you’re nodding along, congratulations—you’ve just identified yourself as the perfect candidate to become your organization’s data quality champion.

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Webinar: A Guide to the Six Types of Data Quality Dashboards

DataKitchen

In this exciting webinar , Christopher Bergh discussed various types of data quality dashboards, emphasizing that effective dashboards make data health visible and drive targeted improvements by relying on concrete, actionable tests. He highlighted the importance of selecting dashboard types based on the data landscape and stakeholder needs, advocating for an iterative approach and showcasing their open-source software.

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When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares

DataKitchen

When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares As data engineers, we’ve all been there. A dashboard shows anomalous metrics, a machine learning model starts producing bizarre predictions, or stakeholders complain about inconsistent reports. We dive deep into data validation, check our transformations, and examine our schemas, only to discover the real culprit was something far more subtle: timing.

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Data Quality Testing: A Shared Resource for Modern Data Teams

DataKitchen

Data Quality Testing: A Shared Resource for Modern Data Teams In today’s AI-driven landscape, where data is king, every role in the modern data and analytics ecosystem shares one fundamental responsibility: ensuring that incorrect data never reaches business customers. Whether you’re a Data Engineer building ETL pipelines, a Data Scientist developing predictive models, or a Data Steward ensuring compliance, we all want the same outcome: data that is trustworthy, accurate, and underst

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The $100 Billion Secret: Why Leading Pharma Companies Outsource Their Commercial Data Teams

DataKitchen

The $100 Billion Secret: Why Leading Pharma Companies Outsource Their Commercial Data Teams Commercial pharmaceuticals, where billion-dollar decisions hinge on data-driven insights, success isn’t just about having the right drugit’s about having the right data, delivered the right way, at the right time. Yet, too many pharmaceutical companies find themselves trapped in a frustrating cycle: brilliant analysts wait weeks for data extracts, IT teams are overwhelmed by competing prioriti

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How I Broke Our SLA and Delighted Our Customer

DataKitchen

I broke one of our most critical SLAs just last week, and it was the best thing that could have happened. It was shaping up to be a major embarrassment. One of our key data warehouse refreshes had failed. No new data. No dashboard updates. The refresh was long past its deadline, the projects key data engineer was on vacation, and I was playing backup.

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Is Your Team in Denial of Data Quality? Here’s How to Tell

DataKitchen

Is Your Team in Denial of Data Quality? Here’s How to Tell In many organizations, data quality problems fester in the shadowsignored, rationalized, or swept aside with confident-sounding statements that mask a deeper dysfunction. While the cost of poor data quality is well-documentedwasted time, lost trust, and flawed decisionsteams often operate in collective denial.