databricks-fsi-business-presentation

Builds Layer 4 executive dashboards and risk operations interfaces for Databricks FSI solutions.

Updated Aug 28, 2026
One-click install
npx skills add https://github.com/miyake-san/sogo-agent-platform --skill databricks-fsi-business-presentation-miyake-san
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-fsi-business-presentation
Source: https://github.com/miyake-san/sogo-agent-platform/tree/main/skills/experimental/databricks-fsi-business-presentation
Command: npx skills add https://github.com/miyake-san/sogo-agent-platform --skill databricks-fsi-business-presentation-miyake-san

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Financial-services demos often end with a decorative dashboard that hides data quality issues, model uncertainty, and failed states. This Skill structures the Layer 4 business presentation of a Databricks FSI solution so executives, data leaders, and investigators each get a traceable, decision-oriented view tied to one shared trace ID. ## Core Features & Use Cases - Decision-oriented surface design: Choose between a Databricks AI/BI dashboard, a Databricks App for stateful case actions, or a notebook fallback, with persona-specific views for business, data, and engineering leaders. - Risk operations workflow: Build a prioritized alert queue with trace ID, score, reason codes, generated summaries, citations, recommendations, and human action states. - Trust and resilience: Expose model health, data freshness, and lineage; implement loading, stale-data, generation-failure, and access-denied states; prepare seeded trace IDs and rehearsed fallbacks. - Use Case: A solutions architect preparing a fraud-detection POC demo uses this Skill to build an executive KPI view, an investigator case queue, and a drill path that traces one alert from KPI to Gold/Silver sources. ## Quick Start Use the databricks-fsi-business-presentation skill to design the Layer 4 dashboard and investigator workflow for my fraud detection demo.

Frequently Asked Questions about databricks-fsi-business-presentation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a Databricks AI/BI dashboard for a fraud detection demo?

Design the dashboard around decisions: executives see exposure, prevented-loss hypothesis, and trends, while investigators get a prioritized alert queue with trace ID, score, reason codes, and recommendations. Keep one drill path from KPI to a single alert down to Gold and Silver sources.

When should I use a Databricks App instead of an AI/BI dashboard?

Use a Databricks App when analysts need stateful case actions such as assigning, escalating, or resolving alerts. Prefer an AI/BI dashboard for executive and operational monitoring views, and keep a notebook as a fallback surface.

What states should a Databricks demo dashboard handle?

Implement loading, empty, stale-data, generation-failure, missing-citation, low-confidence, and access-denied states. Never hide a failed layer behind static text, and prepare cached approved responses plus a reset path for demo resilience.

What data must be masked in an FSI demo dashboard?

Do not display full tax IDs, payment identifiers, contact details, IP addresses, or analyst notes to unauthorized personas. Also distinguish model scores, AI recommendations, and final human decisions visually and semantically.

Can a synthetic prevented-loss number be presented as ROI in a demo?

No. Never imply a synthetic prevented-loss figure is realized ROI. Label synthetic data, cached AI responses, and simulated actions explicitly, and use neutral risk language rather than labeling a customer as fraudulent from a model score alone.