Sources
Databases, files, APIs, GIS, documents and existing applications.
Software Engineering / Data & Reporting Platforms
Turn fragmented information into governed data and reliable reporting.
MapSoft develops data platforms that bring together different sources, structures and organizational responsibilities into one controlled environment for analysis, reporting and decision support.
Governed reporting foundation
Sourcessystems · files · GIS · documents
↓
Controlintegration · validation · ownership
↓
Governed datamodels · identifiers · metadata
↓
Usereports · dashboards · APIs · maps
The data problem
Having data is not the same as having trusted information.
Different databases, spreadsheets, external systems, documents and GIS environments may all describe the same organization from different angles. Different definitions, identifiers and update cycles make direct reporting inconsistent.
A dashboard cannot create data governance.
Platform layers
Build a controlled information foundation before the dashboard.
Reports and analytics become reliable only when the data model, ownership and validation rules beneath them are explicit.
Ingestion & integration
ETL, APIs, synchronization, migration and controlled transformation.
Validation
Technical, business and institutional rules before information reaches reporting.
Governed data
Models, identifiers, metadata, ownership and reference structures.
Analytics
Aggregations, indicators, calculations and analytical views.
Delivery
Reports, dashboards, APIs, maps and external exchange.
Data architecture
Structure information around meaning, not source-file formats.
A sustainable platform needs explicit entities, relationships, identifiers, classifications, ownership and update responsibility. Migration is therefore an information-engineering task, not a copy-and-paste exercise.
Explore Data Platforms & Integrations →Reporting workflow
Reporting should be designed with the information architecture.
Institutional reporting may follow Prepare → Validate → Submit → Review → Correct / Accept → Analyse → Report. Operational reporting may follow Capture → Aggregate → Analyse → Report → Act. In both cases, traceability from source to result matters.
Operational dataRegistersMeasurementsSpatial data
↓ governed data ↓Indicators & analytical views↓ReportsDashboardsAPIsMaps
Project evidence
Evidence across regional, national and institutional data platforms.
The references below demonstrate distributed responsibility, legacy migration, validation, reporting, dashboards, public publishing and interoperability in different contexts.
Data platform proof
Roma Housing Regional GIS Platform
Heterogeneous economy data was normalized into a centralized PostgreSQL environment with distributed QGIS responsibility, Web GIS, dashboards and sustained hosting/support.
Project evidence →Data platform proofBelgrade Local Register of Pollution Sources (LRIZ) — Web & GIS Platform
Legacy environmental data was migrated into a governed reporting system with consistency checks, institutional review, reports and GIS analysis.
Project evidence →Data platform proofMontenegro Open Data Portal
A national data platform combines migrated content, metadata, institutional publishing, APIs, harvesting and multilingual public access.
Project evidence →Data platform proofMontenegro Environmental Information and EIONET Reporting System
A modular national reporting architecture combines structured/document-based reporting, role validation, GIS and external EIONET dependencies; final production acceptance remains qualified.
Project evidence →Governance
Centralized data does not require centralized responsibility.
One shared platform may support many organizations or departments while preserving responsibility for the data each party owns through roles, workspaces, publishing boundaries and review workflows.
MapSoft
Discuss a data platform→Have data in many places but no single reliable reporting foundation?
Tell us where the information comes from, who owns it and what decisions or reporting it needs to support.