determine-data-mining-goals

Translate business objectives into data mining goals with success criteria.

Updated Mar 20, 2026

Search Tags:#planning #traceability #goals #data-mining #crisp-dm #business-objectives

Ready to run

npx skills add https://github.com/thbraet/claude-template --skill determine-data-mining-goals

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: determine-data-mining-goals
Source: https://github.com/thbraet/claude-template/tree/main/skills/determine-data-mining-goals
Command: npx skills add https://github.com/thbraet/claude-template --skill determine-data-mining-goals

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translates business objectives into precise, technically defined data mining goals, enabling structured planning and measurable outcomes for CRISP-DM 1.3 projects.

Core Features & Use Cases

Maps business objectives to data mining goals with explicit problem type and success criteria.
Produces the 1.3 data mining goals artifact at docs/crisp-dm/1-business-understanding/1.3-data-mining-goals.md.
Supports traceability from objectives to technical goals and criteria to guide evaluation.

Quick Start

Provide project context and let this skill generate the 1.3 data mining goals document.

Frequently Asked Questions about determine-data-mining-goals

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

FAQPage Schema

How do I translate business objectives into data mining goals for CRISP-DM?▼

Data mining goals are specific, measurable technical targets derived from broader business objectives. This skill defines them by applying CRISP-DM 1.3 workflows to 1.1 and 1.2 artifacts, producing explicit objective-to-goal traceability and success criteria.

How do I define data mining success criteria in a CRISP-DM project?▼

Defining data mining success criteria involves setting measurable thresholds for technical model performance. This skill structures these criteria within the 1.3 data mining goals document, ensuring technical outcomes map directly to business objectives.

What is the best way to maintain traceability from business objectives to data mining goals?▼

Maintaining traceability requires an explicit mapping document linking each business objective to its corresponding technical goal. This skill generates an Objective-to-Goal Traceability artifact, ensuring clear alignment throughout the CRISP-DM lifecycle.

How do I generate the CRISP-DM 1.3 data mining goals document?▼

Generating the 1.3 data mining goals document involves compiling defined goals, success criteria, and traceability mappings. Provide your project context to this skill, and it outputs the structured file directly at docs/crisp-dm/1-business-understanding/1.3-data-mining-goals.md.

Can I use this skill for CRISP-DM projects without prior business understanding artifacts?▼

No, this skill requires prior CRISP-DM 1.1 and 1.2 artifacts as input. It applies these business understanding documents to produce the 1.3 data mining goals, meaning you must first establish your initial business objectives and background.