--- title: Data Quality, Data Reliability, and Data Observability:... description: When a dashboard number gets questioned, teams often conflate three distinct problems: data quality (wrong or missing values), data reliability (correct values... canonical: https://daily.dev/posts/data-quality-data-reliability-and-data-observability-telling-the-three-apart-pk0qbrl6x twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Data Quality, Data Reliability, and Data Observability: Telling the Three Apart | daily.dev og:description: When a dashboard number gets questioned, teams often conflate three distinct problems: data quality (wrong or missing values), data reliability (correct values... og:url: https://daily.dev/posts/data-quality-data-reliability-and-data-observability-telling-the-three-apart-pk0qbrl6x og:image: https://api.daily.dev/og/posts/PK0QBrL6X.png og:image:alt: Data Quality, Data Reliability, and Data Observability: Telling the Three Apart og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Data Quality, Data Reliability, and Data Observability: Telling the Three Apart **[SQL Authority](https://daily.dev/sources/sql-authority)** · 5 min read · 0 upvotes · 0 comments ## Summary When a dashboard number gets questioned, teams often conflate three distinct problems: data quality (wrong or missing values), data reliability (correct values that arrived late or not at all), and data observability (undetected upstream changes that shift meaning). A simple three-question framework helps diagnose which problem you're actually facing — is a value wrong, is the data late, or did something change undetected? Naming the problem correctly determines who owns the fix and what action to take, saving hours of misdirected investigation. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is the difference between data quality and data reliability problems? Data quality problems mean the values themselves are wrong, such as a duplicate order row, a blank region code, or a mistyped future date, and the fix happens close to the data by rejecting, flagging, or backfilling the row. Data reliability problems mean the values are correct but stale, such as a daily feed failing to load so yesterday's numbers are shown as today's, and the fix is checking the pipeline and schedule rather than the data itself. _daily.dev surfaces practical breakdowns like this for teams untangling dashboard trust issues._ ### How do I tell if a wrong dashboard number is a data observability problem instead of a data quality issue? It is an observability problem when something changed upstream that no existing rule anticipated, such as a product category column expanding from five values to eight, or a source system silently switching from dollars to cents. Unlike quality issues, no single row is wrong; the fix is tracing lineage back to the source of the change rather than fixing individual records. _developers debugging unexplained data shifts can find grounded explainers like this through daily.dev._ ## Similar posts on daily.dev - [Data Quality and Observability: A Field Guide in Six Parts](https://daily.dev/posts/data-quality-and-observability-a-field-guide-in-six-parts-lnhl1rihc) · SQL Authority · 0 upvotes · 0 comments - [Understanding the Meaning of Data Quality for Data Engineers](https://daily.dev/posts/understanding-the-meaning-of-data-quality-for-data-engineers-wtslfrtxn) · Decube · 0 upvotes · 0 comments - [What Are the Six Dimensions of Data Quality and Why They Matter](https://daily.dev/posts/what-are-the-six-dimensions-of-data-quality-and-why-they-matter-ab1rtroow) · Decube · 0 upvotes · 0 comments --- Tags: [#devops](https://daily.dev/tags/devops), [#sql](https://daily.dev/tags/sql), [#data-quality](https://daily.dev/tags/data-quality), [#data-observability](https://daily.dev/tags/data-observability) [View this post on daily.dev](https://daily.dev/posts/data-quality-data-reliability-and-data-observability-telling-the-three-apart-pk0qbrl6x) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Data Quality, Data Reliability, and Data Observability: Telling the Three Apart","url":"https://daily.dev/posts/data-quality-data-reliability-and-data-observability-telling-the-three-apart-pk0qbrl6x","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/data-quality-data-reliability-and-data-observability-telling-the-three-apart-pk0qbrl6x"},"datePublished":"2026-07-10T13:13:53.852Z","dateModified":"2026-09-14T07:48:40.572Z","description":"When a dashboard number gets questioned, teams often conflate three distinct problems: data quality (wrong or missing values), data reliability (correct values...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/054fb839a80cc45023c15e8bd3e6bbf2?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/054fb839a80cc45023c15e8bd3e6bbf2?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"SQL Authority","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"SQL Authority","logo":"https://media.daily.dev/image/upload/s--reCGnvgi--/f_auto,q_auto/v1780213436/logos/sql-authority?_a=BAMAMiWQ0","url":"https://daily.dev/sources/sql-authority"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/data-quality-data-reliability-and-data-observability-telling-the-three-apart-pk0qbrl6x","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"devops,sql,data-quality,data-observability","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"SQL Authority","item":"https://daily.dev/sources/sql-authority"},{"@type":"ListItem","position":3,"name":"Data Quality, Data Reliability, and Data Observability: Telling the Three Apart"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/data-quality-data-reliability-and-data-observability-telling-the-three-apart-pk0qbrl6x#faq","mainEntity":[{"@type":"Question","name":"What is the difference between data quality and data reliability problems?","acceptedAnswer":{"@type":"Answer","text":"Data quality problems mean the values themselves are wrong, such as a duplicate order row, a blank region code, or a mistyped future date, and the fix happens close to the data by rejecting, flagging, or backfilling the row. 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