Data architecture
Models, ownership, reference data, identifiers and information relationships.
Software Engineering / Data Platforms & Integrations
Make fragmented systems and data work together.
We design data environments that connect existing applications, migrate legacy information, establish reliable models and make data usable across operational and analytical systems.
Data platform model
SourcesDatabases · files · GIS · APIs · legacy apps
↓
IntegrationETL · APIs · migration · synchronization
↓
Governed dataModels · validation · ownership · metadata
↓
UseApplications · reports · dashboards · services
The problem
Data can be technically available and still operationally unusable.
Organizations rarely start with an empty database. They start with years of information spread across applications, spreadsheets, departmental databases and external services. Duplicate records, incompatible identifiers and manual transfers make it difficult to create one reliable operational view.
Integration is architecture.
Identity, master data, synchronization, failures, retries, security and ownership must be designed together with the applications that depend on them.
Core capability
From source systems to governed information.
MapSoft combines data engineering, application integration and domain understanding so that a new platform preserves the meaning of existing information while creating a maintainable foundation for future use.
Migration & transformation
Move legacy information into sustainable structures without losing its business meaning.
APIs & integrations
Connect applications and services with explicit data ownership and responsibility boundaries.
Validation & synchronization
Rules, quality controls, error handling and controlled synchronization between systems.
Publishing & interoperability
Metadata, open data, web services and reusable access to governed information.
Analytics & reporting
Analytical views, indicators, dashboards and structured reporting over trusted data.
Integration design
Connect systems without creating another data silo.
Every integration should define which system owns each data domain and what happens when information is missing, inconsistent or temporarily unavailable.
01System of record
02Identifiers
03Synchronization
04Validation
05Failure handling
06Security & access
Legacy modernization
Preserve meaning, not only records.
Migration requires understanding the structure, rules and operational dependencies of the existing system before information is transformed. The objective is not a technical copy into a new database, but a controlled transition into a model that can be validated, maintained and integrated.
Legacy DBFilesGISExternal API
↓ analyse · map · clean · transform ↓Governed data model↓ApplicationsAnalyticsAPIsPublishing
Project evidence
Evidence across national, regional and enterprise environments.
The references below demonstrate different parts of the same capability: migration, controlled data models, APIs, institutional publishing, synchronization and operational reporting.
Project evidence
Montenegro Open Data Portal
National data-platform modernization with legacy migration, institutional publishing, REST APIs, harvesting and DCAT interoperability.
View reference →Project evidenceRoma Housing Regional GIS Platform
A regional PostgreSQL data foundation connecting economy-specific QGIS workflows, GeoServer publication, dashboards and long-term platform support.
View reference →Project evidenceBelgrade Local Register of Pollution Sources (LRIZ) — Web & GIS Platform
Legacy database reverse engineering and migration into a controlled reporting, validation and GIS environment.
View reference →Project evidenceEMS MobTrack:24 Fleet Management Platform
Enterprise master-data synchronization and integrations with SAP, NIS and ENP around live operational workflows.
View reference →Related system patterns
Data platforms support many different operational systems.
MapSoft
Discuss data & integration→Need existing systems and data to work as one environment?
Tell us where the information lives today, which systems own it and what the new environment needs to support.