@calibrateanalytics.bsky.socialThe 𝟭-𝟭𝟬-𝟭𝟬𝟬 Rule: Fix a data error early for $1, internally for $10, or after it impacts customers or decisions for $100+.
The longer errors go undetected, the more costly they become. 👇
🔗 calibrate-analytics.com/insights/202...
@nicolauroca.bsky.socialAntes de publicar una dimensión, comprobar unicidad exige definir identidad y vigencia. Si falla el control, conservar la última versión válida protege al consumidor a cambio de frescura: ese intercambio debe ser explícito. #DataQuality
@antgrasso.bsky.socialA polished AI answer is not proof that it is true. Weak data can still produce confident language with very little substance behind it.
So where should organizations look first? At the information behind the answer.
@pilogian.bsky.socialBetter business decisions start with reliable data. Accurate, complete information helps teams make more informed choices and build confidence in their operations. PiLog focuses on enterprise data quality to support stronger data foundations.
Explore: piloggroup.com
@interimcoo.bsky.socialA CRM is just a container. It fails when loaded with undefined pipeline stages and mediocre data standards. Strategy, not software evaluation, drives adoption and revenue: https://bit.ly/crm-strategy-platform-selection-revenue-impact #SalesManagement #DataQuality #SalesProcess #SalesStrategy
@nicolauroca.bsky.socialUn cierre útil de recuperación identifica el conjunto validado y el uso autorizado. «Todo vuelve a funcionar» deja sin respuesta qué consumidores se comprobaron y qué consecuencias siguen pendientes. #DataQuality
@docvilla.bsky.socialNobody sets out to keep bad records. Data goes wrong in three ordinary places, on ordinary days.
@pilogian.bsky.socialDifferent descriptions of the same material make records harder to compare and reconcile. Shared naming conventions, classifications, and validation rules help create consistent enterprise information.
@pilogian.bsky.socialWho owns your data? Who defines its standards? Who ensures its quality?
Data governance establishes accountability and consistent rules for managing information, helping build trust across teams and systems.
@pilogian.bsky.socialReliable business decisions begin with reliable data. Consistent records, clear standards, and continuous monitoring improve reporting and operational efficiency.
Better data builds a stronger foundation for digital transformation.
@cedricbonjour.bsky.socialStamp today's date formatted as standard ISO YYYY-MM-DD directly into any cell with Ctrl+; in NanoCell:
@anoubiz.bsky.socialData engineer: "We need cleaner Excel files to automate the import."
Supplier: "We're agile! Nobody has time for that. Don't you have some AI to fix it?"
Data engineer: "Can I switch projects?" 😂
Fictional conversation/image. Very real problem.
#DataQuality #DataEngineering #DevHumor
@cleansmartlabs.comThe spreadsheet went to the developer. The developer is unavailable. The data still needs cleaning. There is a way to do this yourself, without code.
@pilogian.bsky.socialData quality is not a one-time project. Continuous monitoring, correction and improvement help organizations maintain reliable information as business needs, systems and processes evolve. #DataQuality #ContinuousImprovement
@pilogian.bsky.socialResponsible AI requires more than advanced algorithms. Reliable data, appropriate governance and clear accountability help organizations assess AI outputs and support more informed adoption. #AI #DataGovernance #DataQuality
@pilogian.bsky.socialWho owns the data? Who maintains it? Which standards apply? Clear answers are essential to effective data governance, helping organizations establish accountability and build trust in business information. #DataGovernance #DataQuality
@pilogian.bsky.socialA resilient supply chain needs reliable information at every stage. Connecting supplier, inventory and logistics data helps teams identify discrepancies and coordinate their responses to changing conditions. #SupplyChain #DataQuality
@pilogian.bsky.socialAsset management relies on more than equipment and maintenance schedules. Accurate asset information supports lifecycle visibility, maintenance planning and better operational decisions. #AssetManagement #DataQuality
@pilogian.bsky.socialReliable data starts with accuracy, completeness and consistency. Improving data quality helps organizations reduce information gaps, strengthen trust and make better-informed decisions. #DataQuality #DataManagement
@powerbitips.bsky.social567 - High reasoning for the planning, low for writing the measures, then back to high for one step most people skip: making the agent build data quality tests and a review page for every measure.