Un cliente duplicado puede multiplicar muchos pedidos al cruzar tablas. Medir solo el porcentaje de identidades repetidas oculta cuánto negocio depende de ellas. El artículo muestra un ejemplo hipotético de ese efecto.
@nicolauroca.bsky.social
@nicolauroca.bsky.socialUn cliente duplicado puede multiplicar muchos pedidos al cruzar tablas. Medir solo el porcentaje de identidades repetidas oculta cuánto negocio depende de ellas. El artículo muestra un ejemplo hipotético de ese efecto.
@pilogian.bsky.socialAI excellence starts with the information behind it. Governed, standardized and connected master data gives enterprise AI a stronger foundation for useful answers, dependable decisions and operational value.
@pilogian.bsky.socialFragmented industrial information makes harmonization difficult. iContent Foundry supports the move toward consistent master data through standardized industrial content & taxonomy resources, helping establish a stronger enterprise information foundation.
#MasterData #DataHarmonization #DataQuality
@pilogian.bsky.socialAsset data creates value throughout the lifecycle. From specification & enrichment to verification, onboarding, operation and governance, every stage affects future decisions. A connected data-to-decision lifecycle makes asset information more valuable.
#AssetManagement #DataQuality #DataGovernance
@pilogian.bsky.socialServices deserve the same master-data discipline as materials. Standardized descriptions, taxonomies, duplicate detection and approval workflows can create greater consistency across services spend and give procurement better information for decision-making.
#DataGovernance #Procurement #DataQuality
@bureaucracytimes.bsky.socialThe Department of Education publishes chronic absenteeism rates that can exceed 100 percent — because the numerator and denominator measure different time windows. The agency knows. It has decided not to fix it. #Education #DataQuality #ChronicAbsenteeism #GovernmentAccountability #GAO
@gisbandit.bsky.socialBuilding Better #Data Management Workflows in #ArcGISPro tinyurl.com/bddnrjat
#DataMgmt #DataQuality #QAQC #GIS #esri #arcgis #GISchat #geospatial #TheScienceOfWhere #geosky
@williamflaiz.comEma raised $77M betting agents replace software seats.
Nobody's checking the prerequisite: 95%+ match rate across source systems.
Most enterprises run 78-84%.
An agent doesn't hesitate on bad data. It just acts. At scale. 🎯
@pilogian.bsky.socialBeing data-rich does not automatically make an organization information-rich. The real value comes from transforming fragmented records into standardized, trusted and usable intelligence for people, analytics and AI. #DataQuality #AI
@pilogian.bsky.socialSelf-healing data brings a proactive dimension to data quality. AI Agents can help identify data drift and support continuous improvement, moving organizations beyond periodic cleansing toward more responsive data management. #AI #DataQuality
@pilogian.bsky.socialZero Waste Data is about making enterprise information more useful—not simply accumulating more of it. Strong governance and data quality help organizations reduce redundancy, improve trust and turn information into business value. #DataQuality #DataGovernance
@pilogian.bsky.socialPiLog 2.0 moves data governance toward an agentic model, where AI Agents can support proactive data management and help organizations build trusted, AI-ready information foundations. #DataGovernance #AI #DataQuality
@inevia.coAutomation doesn’t fix messy data - it scales the problems.
Clean, standardized data gives workflows and AI the reliable foundation they need to work.
#DataQuality #WorkflowAutomation #AIReadiness #Inevia
#OperationsDataCleanup #WorkflowAutomation #AIReadiness #DataManagement #EnterpriseAI #Inevia
@pilogian.bsky.socialBetter asset performance needs better information. Accurate, complete and governed asset data gives maintenance, reliability and operations teams a stronger foundation for decisions.
@pilogian.bsky.socialAI-assisted data quality can help identify duplicates, inconsistencies and potential matches across enterprise records. The goal is trusted information that can support better decisions.
@pilogian.bsky.socialAsset handover is not complete when the equipment arrives. The information needed to understand, maintain and operate that asset must arrive with it.
@pilogian.bsky.socialWhen information is fragmented across systems, decisions can become fragmented too. A governed source of truth creates greater consistency and a stronger foundation for analytics and AI.
@pilogian.bsky.socialBetter asset performance needs more than equipment and technology.
It also needs information that is accurate, complete and trusted.
Better data creates a stronger foundation for maintenance, reliability and operational decisions.
@aperfectchoice.bsky.social🧪 Testdatenmanager (w/m/x) gesucht!
Du möchtest Testprozesse datenbasiert mitgestalten und dabei Datenqualität, Datenschutz und Automatisierung verbinden?
#Testdatenmanagement #Datenmanagement #SoftwareTesting #SQL #DataQuality #ITJobs #Karriere #Digitalisierung
@mauconline.bsky.social🚨 Before you automate your marketing, check what you’re automating. For busy entrepreneurs, clean customer data is a practical place to start before setting up automated campaigns.
📖 : mauconline.net/clean-up-cus...
#MarketingAutomation #DataQuality #DigitalMarketing #Entrepreneurs
