This note explains how to turn the current views (wide–from–tall) into a report‑friendly table using Power Query (recommended) or DAX. It covers two common layouts: It also shows how to extract a human‑readable Description from the JSON in VALUE_METADATA. Source schema (tall, meta-driven) Expected columns: Assumption: Each (OBJECT_SEQ, [META_TYPE], ATTRIBUTE) appears at most once for … Read more
This process explains how Data Engineering (DE) and Analytics Reporting (A) work together to turn a business need into a trusted, production-ready report. It’s designed for non-technical managers: no jargon, just what happens, who’s responsible, and what the outcomes are. Phase 0: Definition – Ground Zero PurposeLay the foundation before vision-shaping begins. Ensure clarity on … Read more
I thrive where challenge, novelty, and passion meet. I learn visually and by doing things myself. Engagement is key for me – if my brain isn’t bought in, it can’t focus on the task. Guide me with clarity of purpose, insight, novelty and challenge and I’ll deliver energy, creativity, and continuous improvement. 🧩 How I Work Best … Read more
I thrive where curiosity, novelty, and real-world value meet.Prettifying isn’t just polishing — it’s how I learn systems and make them modular.Guide me with clarity of purpose, and I’ll deliver energy, creativity, and continuous improvement. 🧩 How I Work Best 💪 Strengths I Bring ⚠️ Things I Need to Guard Against 🛠️ My Self-Management Strategies … Read more
Purpose This playbook guides the phased migration from existing DataMart views (202409) to CDM-standard views, including core, meta (dates, codes, values), and item tables. It supports the transition to IFS Cloud and ensures a consistent, scalable data model across all domains. MVP Scope Domains required for MVP: Phased Delivery Approach Phase 1: Live Data Seeding … Read more