Biggest source of dirty data? Not old records. New ones from forms with no validation.
"Google" / "Google LLC" / "google" = three records, one company.
Use dropdowns and input masks. Prevent the mess.
#DataQuality #FormDesign
Latest posts tagged with #DataQuality on Bluesky
Biggest source of dirty data? Not old records. New ones from forms with no validation.
"Google" / "Google LLC" / "google" = three records, one company.
Use dropdowns and input masks. Prevent the mess.
#DataQuality #FormDesign
if 95% of organizations are confident in their #AI #document pipelines, why do more than half of those same organizations report frequent quality failures?
Get the full breakdown in our AI Readiness 2025 Addendum: bit.ly/4sBYSmT
#AI #DocumentProcessing #DataQuality
Success for #artificialintelligence in #healthcare still seen to hang with #DataQuality. Until data gets cleaned up more and more consistent, concerns will linger. medcitynews.com/2026/03/arti...
Understanding where AI gets its knowledge, how it learns and what biases may be embedded within it is essential for creating ethical, effective and trustworthy AI. taxodiary.com?p=57891 #ExplainableAI #DataQuality #EthicalAI
The Tompkins County assessor has hit pause on annual reassessments to tackle a growing backlog while gearing up for a major database upgrade—what does this mean for your property taxes?
Learn more here
#TompkinsCounty #NY #CitizenPortal #DataQuality #PublicAccess #TompkinsCountyAssessments
Stages of data maturity:
Beginner: "We have data"
Intermediate: "We have a lot of data"
Advanced: "We have clean data"
Master: "We have governed, unified, analysis-ready data"
Most companies are stuck between 1 and 2.
#DataQuality #DataStrategy
Data is only as valuable as its quality. Organizations investing in analytics, AI and decision intelligence need platforms that ensure data is accurate and trustworthy from the start. #DataQuality #DataGovernance
As organizations generate more information than ever, gaps are making it harder to trust the data behind decisions. Strong taxonomies and the right technology partners help turn raw information into something reliable. #DataQuality #DataGovernance
The EEC commission is rethinking its research agenda to tackle urgent workforce questions, but what themes are emerging as priorities?
Click to read more!
#MA #CitizenPortal #ChildcarePolicy #DataQuality #WorkforceDevelopment
🧠 Cómo la degradación del contexto perjudica los resultados de IA y LLM empresariales
Los datos son clave para el éxito, pero su contexto se corrompe, afectando a la IA.
https://thenewstack.io/context-rot-enterprise-ai-llms/
#LLM #DataQuality #AI #RoxsRoss
The DataOps Way to Data Quality: A Free Book for Every Data Team
Most data quality advice tells you what to measure. This book explains why your team keeps failing and what to do about it.
datakitchen.io/the-dataops-...
#databs #dataquality #dataops #free #opensource
Why Your Data Quality Dashboard Isn’t Working And What to Do About It
We reveal six powerful, and perhaps surprising, truths about data quality dashboard failure.
datakitchen.io/why-your-dat...
#databs #dataquality #opensource
"California" / "CA" / "ca" / "Calif."
Same place. Four CRM records. Your regional segment just missed half its audience.
Standardize to 2-letter codes. Make it a dropdown on forms.
#DataQuality #CRM
I built a tool to find problems hiding in my training data.
LabelLens analyzes labeled text classification datasets for duplicates, mislabels, and class imbalance. Ran it on my own 26K sample dataset — found 5,664 exact duplicates I had no idea about.
Try it […]
Don't build a data lake.
Build a clean data lake. 🧹
Data teams spend 60-80% of their time cleaning instead of analyzing.
That's not a productivity issue. That's a structural failure.
#DataQuality #Analytics
We asked the Reddit's r/dataengineering community 'Why don't you test?' And we got roasted. Learn why
datakitchen.io/we-got-roast...
#databs #dataquality #dataops
Données de mauvaise qualité = décisions erronées, temps perdu, réputation en danger. Solutions : validation, documentation, formation. Pour les décideurs : interrogez la tech !
#DataQuality #DataEngineering #DecisionMaking #DataGovernance #RiskManagement
www.linkedin.com/posts/gabrie...
When complexity slows decisions, it’s often a data problem.
Our latest blog l1nq.com/RceWk explores why organizations are adopting DataOps to strengthen data pipelines, improve quality, and embed governance in an AI-driven world.
#DataOps #DataQuality #DataGovernance
#MeettheExperts #DataQuality #TESD
Join us for the final session of our KODAQS Toolbox talks!
Leon Fröhling will present #TESD, a tool for documenting and critically reflecting on online platform datasets.
🗓️ Thursday, 5 March, 2026, 1-2 pm.
📌 Online, register here: www.gesis.org/angebot/wiss...
La qualité des données = fondations invisibles de l’entreprise. 3 piliers : validation temps réel, traçabilité, documentation. RH : demandez comment les candidats garantissent cette qualité. #DataQuality #DataEngineering #Workflows #DataEngineer #Travail https://www.linkedin.com/posts/gabriel-chandesris_dataquality-dataengineering-dataengineer-ugcPost-7434551715829579776-1ZqD
La qualité des données = fondations invisibles de l’entreprise. 3 piliers : validation temps réel, traçabilité, documentation. RH : demandez comment les candidats garantissent cette qualité. #DataQuality #DataEngineering #Workflows #DataEngineer #Travail https://www.linkedin.com/posts/gabriel-chandesris_dataquality-dataengineering-dataengineer-ugcPost-7434551715829579776-1ZqD
La qualité des données = fondations invisibles de l’entreprise. 3 piliers : validation temps réel, traçabilité, documentation. RH : demandez comment les candidats garantissent cette qualité. #DataQuality #DataEngineering #Workflows #DataEngineer #Travail
www.linkedin.com/posts/gabrie...
We wanted to understand the impact of outliers in high-frequency river water quality #monitoring data & find better ways to ensure #dataquality.
Using a 4-year dataset, we evaluated their quant. impact on summary stats & compared diff. detection methods, incl. uni- & multivariate approaches.
2/6
We wanted to understand the impact of outliers in high-frequency river water quality #monitoring data & find better ways to ensure #dataquality.
Using a 4-year dataset, we evaluated their quant. impact on summary stats & compared diff. detection methods, incl. uni- & multivariate approaches.
2/6
NCPW 2026 runs March 1–7. Use it as a quick fraud readiness check for your business.
Read the playbook: www.searchbug.com/info/natio...
#NCPW2026 #FraudPrevention #ScamAwareness #Cybersecurity #IdentityTheft #DataQuality #RiskManagement #ConsumerProtection
Databricks just showed that clean, deduped data beats fancy model tweaks for faster LLMs. Think your GPU time could be saved with better pipelines? Dive into the findings and rethink your training strategy. #DataQuality #LLMTraining #Databricks
🔗 aidailypost.com/news/databri...
📊✨ Ready to elevate your data game? Learn how to craft a comprehensive data cleanliness policy! Check out our latest blog post for expert tips! 👉 innovirtuoso.com/data-management/how-to-c... #DataManagement #CleanData #DataQuality
AI doesn't understand meaning the way we do. It retrieves what structure allows it to find. If meaning is not preserved before AI touches content, it cannot be recovered later. Data quality and expert design matter more than ever. #DataQuality #AIGovernance #KnowledgeManagement
JMIR Formative Res: Evaluation of the Accuracy of Probabilistic Record Linkage Across Sociodemographic Categories in 4 Databases: Exploratory Study #PatientSafety #HealthData #PublicHealth #DataQuality #RecordLinkage
The "data police" approach to data quality is a trap.
You assign someone to catch mistakes, they become the bad guy, nobody listens, the backlog grows, standards slip anyway.
Culture beats enforcement. Every time.
#DataQuality #RevOps #MarketingOps
Wearables are incredibly powerful tools for studying human behavior and wellbeing. But only if we’re clear about what questions they’re actually good at answering!
#Wearables #DigitalHealth #AppleWatch #Measurement #Psychometrics #Wellbeing #HealthResearch #IntensiveLongitudinalData #DataQuality
Great blog from the LexisNexis InterAction+™ Data Quality Services team, "Data Quality: The Unsung Hero to Your Law Firm’s CRM Success - read more now! https://bit.ly/3Zak9Yv
#DataQuality #LegalTech