InDataologybySarah Mason·Oct 20The Analytics‑Driven Approach to UX in IoT, Add‑Ons, and Companion AppsAnalytics defines how users understand an IoT system. It shapes the way insights appear, how device behavior is interpreted, and how…
InDataologybySarah Mason·Oct 15Bringing AI Agents to Life With Local MCP WorkflowsI’ve been exploring how AI agents and looking to move beyond abstract demos and into real, testable workflows. Not the glossy, overproduced…
InDataologybySarah Mason·Oct 6Why GitHub Still MattersOrganizing Projects, Preserving Version History, and Building a Professional PortfolioA response icon1A response icon1
InDataologybySarah Mason·Oct 1Data Evaluation: Why Lightweight Python Utilities Still Matter in Modern Analytics for Quality
InDataologybySarah Mason·Sep 25Technical Editing With AI: Turning Raw Analyst Work Into Executive‑Ready ArtifactsAnalysts produce a tremendous amount of technical material with SQL logic, Python notebooks, data models, documentation, dashboards, and…
InDataologybySarah Mason·Sep 16AI‑Enhanced Agile: Modern Tools to Strengthen Sprint Planning, Backlog Management, and Delivery for…Agile has always promised adaptability, transparency, and continuous improvement. In practice, many teams struggle to maintain the…
InDataologybySarah Mason·Sep 8How Modern Analysts Turn Raw Data Into Clear, Actionable Narratives With AI‑Assisted Insight…Insight generation has always been the core of analytics work. It’s also the part that consumes the most time. Analysts spend hours…
InDataologybySarah Mason·Aug 31AI‑Enabled GitHub: How Copilot Transforms Documentation, Coding Habits, and Collaboration for…GitHub has quietly become one of the most accessible and impactful AI‑enabled platforms for analysts, engineers, and hybrid technical…
InDataologybySarah Mason·Aug 28Analyst‑Friendly AI Guardrails: How to Give Results the Context They NeedAI is now woven into the analyst workflow. It drafts SQL, summarizes findings, generates documentation, and accelerates analysis. But even…
InDataologybySarah Mason·Aug 18Minimum Viable Analysis: How To Deliver Analytics Faster Without Losing QualityIn product development, teams use the idea of a Minimum Viable Product (MVP). MVP is the smallest version of something that still delivers…