Public Cloud Migration Data Safety Check

3.70

Derivation Chain

Step 1 Public data center to private cloud migration policy

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Step 2 Data migration anxiety among public officials and public institution employees in their 40s-60s

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Step 3 Self-checking whether my work data is subject to migration and what its security level is

Problem

As the government pushes a policy to migrate sensitive data from public data centers to private clouds, public institution staff in their 50s find it difficult to determine whether the work data they manage is subject to migration, how security levels are classified, and what procedures to follow for migration. Relevant notices and guidelines are scattered across multiple ministries, and even after contacting security officers at each institution, it takes 2-3 weeks or more to get a clear answer. Cases of receiving audit findings due to incorrect security level classification, or incurring additional budget due to missed migration schedules, are recurring.

Solution

By entering the type of work data (whether it contains personal information, security level, system type) via a checklist, it automatically determines whether the data can be migrated, the required security level, and a migration timeline based on current cloud security certification (CSAP) standards and the Data 3 Act. It also provides links to the original notices and contact information for the responsible departments at each institution, and allows downloading a migration checklist PDF.

Target: Public institution and local government IT staff aged 45-58, who also handle data management and security, and need to respond to cloud migration policies.

Revenue Model: Basic migration eligibility assessment free, customized migration checklist and security level diagnostic report PDF: $7.50 per case, B2B institutional license: $225 per month.

Ecosystem Role: Regulation

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

4.0/5

M Market

3.0/5

R Realizability

4.0/5

V Validation

4.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity

29.3/40

Data Availability

20.8/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (63/100)

Competition

8.0/20

Market Demand

9.4/20

Timing

20.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

5.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Frontend [low] Backend [medium] Data Pipeline [medium]

Dashboard