Alteryx Day 86 – Date-Time Intelligence Explained | #alteryxtutorial #alteryx #youtube

Welcome to Day 86 of the 100 Days of Alteryx Learning Series! In today’s video, we explore Date-Time Intelligence in Alteryx, focusing on how to convert non-standard date strings into standardized formats that can be used for reporting, calculations, trend analysis, and business intelligence. You'll learn how to transform dates like "Jan 21, 26" into ISO 8601 format (2026-01-21) using the DateTime Tool and Formula functions. What You Will Learn Today 📅 Understanding Date-Time Intelligence • Why date standardization matters • Common date format challenges • Benefits of ISO date formats 🛠 Working with the DateTime Tool • Converting text to dates • Standardizing inconsistent date formats • Formatting dates for reporting systems • Handling regional date variations 🔄 Common Date Transformations • "Jan 21, 26" → "2026-01-21" • MM/DD/YYYY → YYYY-MM-DD • Date extraction from text fields • Date formatting for databases and APIs Hands-On Activities ✅ Convert non-standard date strings ✅ Standardize dates using DateTime Tool ✅ Calculate date differences ✅ Extract Year, Month, and Quarter values ✅ Prepare date fields for analytics and reporting Real-World Use Cases • Financial reporting periods • Sales trend analysis • Customer lifecycle analytics • ETL data standardization • Data warehouse date dimension preparation Best Practices • Standardize dates early in the workflow • Use ISO format whenever possible • Validate date conversions carefully • Handle null and invalid dates gracefully • Maintain consistent time zone standards By the End of This Video, You Will Be Able To: • Convert non-standard dates into usable formats • Apply DateTime transformations confidently • Build date-driven analytics workflows • Improve reporting accuracy and consistency Tools Covered • DateTime Tool • Formula Tool • Select Tool • Data Cleansing Tool • Browse Tool Example Scenario Input Date: Jan 21, 26 Output Date: 2026-01-21 Ready for calculations such as: • Days between orders • Monthly sales trends • Quarterly reporting • SLA and aging analysis Perfect For Data analysts, ETL developers, BI professionals, and data engineers working with reporting, forecasting, and time-based analytics. #alteryx #alteryxexamples #alteryxtutorial #dataanlysis #dataanalytics #datavisualization #datascience #database #machinelearning #pythonprogramming #python #pythontutorial #coding #codinglife #codingtips #codingtutorial #youtubeshorts #youtubevideo #youtubeshort #youtubechannel #education #youtubeshort #youtuber #youtubechannel #youtubevideos #dataanalytics #dataaggregation #datascience #machinelearning #youtubevideo #youtubeshort #youtuber #youtubechannel #youtubeindia#alteryx #alteryxexamples #alteryxtutorial #dataanlysis #dataanalytics #datavisualization #datascience #database #machinelearning #pythonprogramming #python #pythontutorial #coding #codinglife #codingtips #codingtutorial #youtubeshorts #youtubevideo #youtubeshort #youtubechannel #education #youtubeshort #youtuber #youtubechannel #youtubevideos #dataanalytics #dataaggregation #datascience #machinelearning #youtubevideo #youtubeshort #youtuber #youtubechannel #youtubeindia