Skills data-business-model-expert
📦

data-business-model-expert

Content revision r1 Safe 📁 Filesystem access⚙️ External commands🌐 Network access

Design Sustainable Data Business Models

Data teams often struggle to turn technical capabilities into repeatable revenue. This skill structures positioning, offerings, revenue, partnerships, defensibility, and phased growth.

Supports: Claude Codex Code(CC)
🥉 77 Bronze

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Agent request
Review the Skillstore skill "data-business-model-expert" from https://skillstore.io/skills/dhturing-data-business-model-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-business-model-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

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Test it

Using "data-business-model-expert". We provide custom data governance projects and want more recurring revenue.

Expected outcome:

Position: managed data monetization partner. Start with a repeatable governance assessment, add annual monitoring, and track recurring revenue share by quarter.

Using "data-business-model-expert". Design a partner program for regional delivery firms.

Expected outcome:

  • Create basic, professional, and strategic partner tiers.
  • Link benefits to training, qualified leads, delivery capacity, and verified outcomes.
  • Base revenue sharing on sourced demand, delivery responsibility, and collection risk.

Using "data-business-model-expert". How can we test a DMaaS offer before a large investment?

Expected outcome:

Run a small paid pilot with one customer segment. Validate willingness to pay, delivery effort, conversion potential, compliance needs, and renewal intent.

Security Audit

Safe
v1 • 9/27/2026 Open versioned report

All 12 static findings are false positives caused by Markdown syntax, documented installation paths, ordinary website links, and the entropy profile of Chinese text. No executable code, network request, obfuscated payload, prompt injection, or malicious intent was found.

4
Files scanned
450
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

📁 Filesystem access (2)
⚙️ External commands (3)
🌐 Network access (2)
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex
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Open versioned report
Security Assessment

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Academic citations (APA · BibTeX · CFF)

APA citation

图灵数盟. (2026). data-business-model-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-business-model-expert/audits/1

BibTeX citation

@techreport{dhturing-data-business-model-expert-2026, author = {图灵数盟}, title = {data-business-model-expert security audit report (audit version 1)}, institution = {Skillstore}, year = {2026}, number = {1}, url = {https://skillstore.io/skills/dhturing-data-business-model-expert/audits/1}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "data-business-model-expert security audit report (audit version 1)" version: "unspecified" type: report authors: - name: "图灵数盟" date-released: "2026-09-27" url: "https://skillstore.io/skills/dhturing-data-business-model-expert/audits/1" identifiers: - type: other value: "skillstore:dhturing-data-business-model-expert:audit:1" description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: Medium
55
Architecture
85
Maintainability
87
Content
65
Community
83
Spec Compliance

What You Can Build

Shape a Data Venture

Compare strategic positions and create an initial architecture, offer portfolio, and revenue mix.

Productize Data Services

Convert repeated custom delivery into standard products, recurring revenue, and measurable transition stages.

Build a Partner Model

Define membership tiers, channel roles, partner benefits, and practical revenue-sharing rules.

Try These Prompts

Assess My Current Model
Review our current data business. Identify our position, revenue sources, strongest assets, major gaps, and three immediate priorities.
Design a Revenue Architecture
Design a 1+4+N business architecture for [company]. Include target customers, services, six revenue types, assumptions, dependencies, and validation steps.
Plan Productization
Create a five-stage roadmap from custom projects to a product and platform model. Define milestones, metrics, reusable assets, owners, and decision gates.
Stress-Test the Business Model
Challenge this proposed data business model: [model]. Test demand, economics, compliance, delivery capacity, partner incentives, defensibility, and failure scenarios. Propose experiments.

Best Practices

  • Provide verified facts about customers, capabilities, costs, credentials, and regulatory constraints.
  • Separate evidence, assumptions, recommendations, and open questions in every deliverable.
  • Validate the model through small paid pilots before funding broad platform development.

Avoid

  • Do not present unverified credentials, partnerships, market figures, or policy claims as facts.
  • Do not treat membership fees as sustainable revenue without recurring member value.
  • Do not pursue platform scale before proving repeatable demand and delivery economics.

Frequently Asked Questions

What information should I provide?
Provide customer segments, current services, revenue mix, costs, delivery capacity, credentials, partnerships, and growth goals.
What is DMaaS?
DMaaS means Data Monetization as a Service. It covers the path from data preparation through products, transactions, financing, and ongoing operations.
What does 1+4+N mean?
It combines one entry capability, four related service areas, and multiple industry scenarios to support expansion.
Can this skill create financial forecasts?
It can structure assumptions and revenue scenarios. Users must validate prices, costs, conversion rates, and forecasts with current evidence.
Does this skill provide compliance advice?
No. It can identify compliance questions, but qualified legal, accounting, valuation, and regulatory professionals must review decisions.
How should recommendations be validated?
Use interviews, paid pilots, delivery measurements, unit economics, renewal signals, and documented decision gates.

Developer Details

License

MIT

Skillstore revision

r1

Version notice

The author did not declare a version.

Ref

50b73f83991cf073cbdf3f5afad2bbac71dd3bae

Maintenance freshness

9/30/2026

Usage

0 downloads · 0 views

File structure

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