References: Automation, Reporting, and Capstone Systems

1. Workflow - Wikipedia - Offers an accessible overview of Workflow, including definitions, methods, examples, limitations, and related concepts. This foundation helps students reason carefully about building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.

2. Dashboard (computing) - Wikipedia - Offers an accessible overview of Dashboard (computing), including definitions, methods, examples, limitations, and related concepts. Its examples help students evaluate evidence for building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.

3. Business process automation - Wikipedia - Offers an accessible overview of Business process automation, including definitions, methods, examples, limitations, and related concepts. It supplies useful context for decisions about building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.

4. Storytelling with Data - Cole Nussbaumer Knaflic - Wiley - Demonstrates audience-centered chart selection, decluttering, visual hierarchy, annotation, narrative flow, and ethical communication of findings. Its sustained treatment supports work on building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.

5. Automate Your Busywork - Aytekin Tank - Wiley - Presents a no-code approach to mapping repetitive work, selecting automation opportunities, connecting tools, and preserving human judgment. Its cases illuminate tradeoffs involved in building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.

6. Power Automate Documentation - Microsoft Learn - Provides no-code workflow guidance for triggers, actions, approvals, conditions, monitoring, error handling, connectors, and governed business automation. Its methods give teams a starting point for building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.

7. Looker Studio Overview - Google Cloud - Documents data connections, calculated fields, interactive charts, filters, sharing, and report design for repeatable stakeholder dashboards. Its comparisons clarify choices involved in building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.

8. Agents - OpenAI - Explains how models, tools, knowledge, instructions, guardrails, and orchestration combine into bounded agent workflows that can be tested and monitored. Its framework strengthens responsible work on building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.

9. Working with Evals - OpenAI - Introduces test data, evaluation criteria, graders, repeated runs, and comparison workflows for measuring model behavior instead of relying on impressions. Its examples show how evidence informs building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.

10. AI Risk Management Framework - NIST - Provides the Govern, Map, Measure, and Manage functions for addressing validity, reliability, transparency, privacy, fairness, accountability, and other AI risks. Its implementation advice helps teams practice building governed no-code pipelines, reports, dashboards, organizational memory, and scalable research.