Applying Systems Thinking To Avoid Misaligned Data Mapping Taxonomies

Data mapping taxonomies provide a structured framework to categorize data, create clarity & consistency in interpretation and prevent information fragmentation. In this video, we apply a Systems Thinking lens on the problem of a common Data Governance problem where Data Taxonomies can become misaligned as different teams keep "stacking" mappings on top of each other like a crazy jenga tower and different categorization schemas begin to drift over time. #systemsthinking #datataxonomies #datagovernance References Mentioned In The Video: *1. "Applying Systems Archetypes" From The Systems Thinker website https://thesystemsthinker.com/applying-systems-archetypes *2. "Relational Data Modelling " From Datacadamia.com https://datacadamia.com/data/type/relation/modeling/relationship *3 "Why Your Data Fabric Needs An Enterprise Ontology" From Enterprise-Knowledge.com https://enterprise-knowledge.com/why-your-data-fabric-needs-an-enterprise-ontology More Resources : *4. Lost in Translation: Why Standardized Enterprise Classification Systems Matter - Zhijing Eu https://www.linkedin.com/pulse/lost-translation-why-standardized-enterprise-systems-matter-eu-q3eaf/?trackingId=2XFoPd5TQSWar55y7LjvHw%3D%3D *5. "What is a Semantic Layer? A Detailed Guide" From DataCamp Blog https://www.datacamp.com/blog/semantic-layer *6."Using Knowledge Graphs To Power A Semantic Data Layer" From Databricks.com https://www.databricks.com/blog/2022/06/17/using-a-knowledge-graph-to-power-a-semantic-data-layer-for-databricks.html *7. "Unifying Disparate Data With Ontologies" From Tamr Insights' Blog Page https://www.tamr.com/blog/unifying-disparate-data-with-ontologies Image Credits: *All GIF-s sourced via Giphy.com *Jigsaw Footage sourced from https://www.youtube.com/watch?v=-1rR6KWSm9I (Credit : @sgprolab ) *Forest Drone Footage sourced from https://www.pexels.com/video/drone-footage-of-a-rapid-river-with-series-of-waterfalls-5636707 (Credit : Suraphat Nuea)