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How It Works

Synapsis Analysis is the data intelligence and business analytics layer of the Mative ecosystem, designed to collect, process, and visualize data from multiple sources in a unified environment.

Data Integration

The platform connects to a wide range of data sources, enabling full interoperability across systems:

  • Relational databases (PostgreSQL, MySQL, SQL Server, Oracle)
  • NoSQL databases (Cassandra, MongoDB, Redis)
  • Time-series data sources for telemetry
  • External APIs and third-party systems
  • IoT data streams from Synapsis IoT and Mative Cloud

This multi-source approach allows organizations to centralize heterogeneous data without replacing existing infrastructure.

Data Processing and ETL

Once data is ingested, Synapsis Analysis applies transformation pipelines:

  • Data normalization and filtering
  • Aggregation of telemetry and historical data
  • ETL (Extract, Transform, Load) processes
  • Data enrichment and correlation across sources

The platform supports both real-time processing and batch analytics, depending on operational needs.

Visualization and Dashboarding

Synapsis Analysis provides advanced visualization capabilities through a flexible dashboard system:

  • Pre-configured dashboards for quick deployment
  • Custom dashboards with drag-and-drop widgets
  • Interactive charts, tables, KPIs, and maps
  • Real-time and historical data visualization

Each widget is fully interactive, allowing users to drill down into detailed data, explore trends, and access deeper insights.

Analytics and Reporting

The platform enables detailed analysis of operational data:

  • Performance monitoring and KPI tracking
  • Trend analysis over customizable time ranges
  • Cost analysis and operational insights (e.g. fleet usage, consumption, efficiency)
  • Custom report generation (exportable in formats such as PDF, CSV, Excel)

Reports can be scheduled, filtered, and integrated with external systems.

User Access and Customization

Synapsis Analysis adapts to different user roles and operational contexts:

  • Role-based access control (RBAC)
  • Customizable dashboards per user
  • Multi-tenant data separation
  • Integration with external applications via APIs

This ensures secure, personalized, and scalable access to data across the organization.