metodologia-bi-analytics-discovery

Identify BI maturity gaps and craft a phased analytics strategy deliverable.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/JaviMontano/metodologia-propuesta-agent-public --skill metodologia-bi-analytics-discovery
Or copy as Structured Prompt for Agent
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Skill: metodologia-bi-analytics-discovery
Source: https://github.com/JaviMontano/metodologia-propuesta-agent-public/tree/main/.claude/skills/data/bi-analytics-discovery
Command: npx skills add https://github.com/JaviMontano/metodologia-propuesta-agent-public --skill metodologia-bi-analytics-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

BI maturity discovery and analytics strategy planning for BI-as-a-service engagements, delivering structured outputs aligned with industry frameworks.

Core Features & Use Cases

  • Comprehensive BI maturity assessment across DCAM and DMM dimensions.
  • End-to-end discovery including dashboard landscape Inventory, semantic layer evaluation, self-service readiness, and data literacy mapping.
  • Prioritized analytics use-case portfolio and phased BI transformation roadmap.

Quick Start

Provide a project/client name to generate a complete discovery report, including maturity, landscape, semantic layer readiness, self-service readiness, data literacy, use-case portfolio, and roadmap.

Frequently Asked Questions about metodologia-bi-analytics-discovery

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

FAQPage Schema
How do I assess BI maturity gaps and build an analytics strategy?

Assess BI maturity gaps by evaluating dimensions like dashboard inventory, semantic layer readiness, and data literacy, then craft a comprehensive analytics strategy deliverable with a phased BI transformation roadmap.

What is included in a BI discovery and analytics strategy deliverable?

A BI discovery deliverable includes dashboard landscape inventory, self-service readiness evaluation, data literacy mapping, use-case prioritization, and a phased transformation roadmap aligned with DCAM and DMM frameworks.

How do I create a dashboard inventory and evaluate semantic layer readiness?

Create a dashboard inventory and evaluate semantic layer readiness by performing end-to-end BI discovery, mapping the current reporting landscape, and assessing self-service enablement capabilities against enterprise governance standards.

Can I align my analytics strategy with DCAM and DMM enterprise governance frameworks?

Yes, you can align your analytics strategy with DCAM and DMM frameworks by enforcing frontmatter-driven metadata schemas and structuring phased BI transformation planning directly within your enterprise governance model.

Does this approach support data literacy mapping and self-service enablement?

Yes, this approach supports data literacy mapping and self-service enablement by identifying maturity gaps across client discovery phases and prioritizing analytics use-cases for comprehensive self-service readiness.

What is the best way to prioritize analytics use-cases for a BI transformation roadmap?

Prioritize analytics use-cases by mapping data literacy, assessing semantic layer readiness, and aligning the portfolio with a phased BI transformation roadmap to close maturity gaps effectively.