Use Cases

How a government organization builds a unified data registry without full system replacement

Uzbek government agencies have dozens of isolated registries. Building a unified registry through replacing the entire landscape is impossible. The realistic path is an identity resolution layer and unified profile above existing systems with phased migration. This scenario covers the approach.

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Applied scenario: building a government unified registry through identity resolution layer above existing agency systems without replacing them. Realistic path to data integration in a government organization.

Trigger

In a government organization, the need arises for a unified picture of the citizen or legal entity — for proactive services, inter-agency processes, analytics, regulatory reporting. In today's model, each agency runs its own data copy; trying to unite hits political negotiations on sources of truth and on technical sync complexity. In the right model, a layer is gradually built above existing registries with explicit sources of truth by field and update flows.

What banks usually do today

Most regional unified registry programs are built through trying to create a central store with all data or replace existing registries with a new system. Both approaches in practice lead to 5-7 year programs with high failure risk. Intermediate results do not produce visible effect, political resistance accumulates, budget consumed, no real data integration.

What the bank loses

Citizens lose pensions, benefits, healthcare due to unsynchronized data between agencies
Each government service requires manual KYC anew — citizen enters the same data
Inter-agency processes (permits, licenses) flow through paper chains
Government analytical solutions built on unreliable data with source contradictions
Regulatory reports compiled manually from 5-7 sources with figure discrepancies
International digital government ratings show middling positions despite significant investments

How this can be improved

Build an identity resolution layer and unified profile above existing registries without replacing them. Each agency remains the source of truth in its fields but publishes updates to a shared bus. The layer assembles a unified citizen picture, resolves conflicts through a data steward, delivers the profile to consumers (services, proactive communication, analytics). The citizen sees their record in a portal and can correct it. Biometrics 2026 is built in as a mandatory identification key.

What you need

List of key data domains and their sources of truth (passport — MIA, taxes — tax service, etc.)
Inter-agency agreements on sources of truth by field (political work)
Technical interfaces for data updates in real time or with reasonable delay
Identity resolution layer with deterministic and probabilistic rules
Structured citizen consents to proactive interaction
Biometric contour as part of unified architecture

What the bank gets

Discrepancy rate in citizen data drops from 30-50% to 5-10% over 18-24 months
Each government service receives a ready citizen profile without re-collection
Life events processed in days instead of weeks
Regulatory reporting generated automatically in minutes
Uzbekistan reaches international digital government maturity
Government analytical decisions built on reliable data

How to start realistically

Start with one priority domain — citizen — and one priority use scenario (e.g., passport system plus tax for sending notifications). Launch identity resolution layer and unified profile on this perimeter. After 6-9 months — measurable effect on one service. Then — expansion to next domains and scenarios. In parallel — political work on agreements with other agencies and regulatory framework for data sharing.

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