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191 to discover
 
 
 
Webinar
Endlich wieder pünktlich Feierabend – statt Excel!
Wir zeigen, wie Sie mit automatisierten Datenanalysen effizienter arbeiten. Nutzen Sie Ihre Excel-Erfahrung und profitieren Sie von der Automatisierung und Transparenz von Alteryx.
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E-Book
3 Machine Learning Use Cases That Immediately Benefit Planning and Logistics
Maximum results with minimal time investment — optimize your supply chain with these three machine-learning use cases.
  • Analytics Automation
  • Data Science and Machine Learning
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Webinar
Scaling Success: Chemours’ Journey of Supply Chain Transformation with Alteryx
In this webinar, learn how The Chemours Company improved decision-making by transitioning from spreadsheets to an automated supply chain analytics solution.
  • Analytics Automation
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White Paper
7 Ways Analytics Automation Optimizes Supply Chain Decisions
Don’t let manual analytic processes and outdated systems hurt the customer experience. Optimize every decision with analytics automation.
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Analyst Report
2024 Self-Service BI Market Study from Dresner Advisory Services
The 2024 Self-Service Business Intelligence Market Study, published by Dresner Advisory Services, reviews self-service BI trends and provides insight into industry adoption, user requirements, and vendor capabilities.
  • Data Science and Machine Learning
  • Generative AI
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Webinar
Gregory Welteroth Advertising Improves Marketing ROI With Analytics Automation
In this webinar, learn how Gregory Welteroth Advertising (GWA) helps clients gain a competitive edge by using data insights to reach more potential customers.
  • Analytics Automation
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E-Book
Finance Analytics for Dummies
Transforming the Finance Function with Analytics
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Webinar
Exploring The State of Data Quality 2024
Organizations rely on trustworthy data for diverse applications including advanced analytics and AI. Hear from TDWI, Alteryx & others as they discuss the state of data quality.
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Analyst Report
TDWI State of Data Quality Report
This report examines the current state of data quality management, the top challenges organizations face, and best practices for improving your data quality practices.
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