Importing Data

Data Import Overview

CIB ins7ght continuously synchronizes data from your CIB seven environment to ensure analyses and metrics are always up to date.
This synchronization is handled by a polling client, which periodically connects via REST API to fetch new process data.

The polling mechanism runs automatically in the background, checking for updates every 10 seconds (configurable upon request).
This ensures that your process dashboards and insights reflect near real-time information without requiring any manual refresh or intervention.

What Data Is Extracted

To provide comprehensive process analysis, CIB ins7ght extracts data from the following key Camunda tables:

  • act_hi_procinst — contains information about process instances, including start and end times, duration, and process state.
  • act_hi_actinst — stores activity instances, enabling performance analysis at the activity level.
  • act_ge_bytearray — includes serialized data such as process definitions.
  • act_re_procdef — contains process definition metadata (versioning, keys, and deployment details).
  • act_hi_incident — tracks process incidents that occur during execution.

These tables together form the foundation of CIB ins7ght’s analytical model, allowing it to compute metrics.

Data Handling Principles

CIB ins7ght operates on a read-only extraction model, it copies data from CIB seven but never modifies or deletes anything from the source system.
All transformations, aggregations, and calculations occur exclusively within CIB ins7ght’s own system.

This approach ensures:

  • No impact or interference with CIB seven’s runtime operations.
  • Full data integrity and traceability.
  • Safe and isolated analytical processing.
  • Historical data is saved.

Initial Data Setup

When CIB ins7ght is initialized for the first time, it performs a full historical data import, fetching all available records from the specified CIB seven tables.
This initial synchronization may take longer depending on the volume of existing process data, as it ensures that CIB ins7ght builds a complete analytical baseline from day one.

After the initial load, only incremental updates are fetched, meaning new or modified records are imported during each polling cycle, keeping performance efficient and data always up to date.

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