Data filesDAMA: 13

Completeness (Data files)

The degree to which all required data files are present.

Created: 10/30/2025
Business Impact
Positive Impacts
  • •Ensures all necessary data feeds and files are available for batch processing and system updates.
  • •Reliable execution of scheduled data integration and reporting tasks.
  • •Avoidance of process interruptions or incomplete analyses due to missing input files.
  • •Improved operational stability for data-dependent workflows.
Negative Impacts (if poor quality)
  • •Failure or delay of critical business processes (e.g., payroll, billing, inventory updates) if input files are missing.
  • •Incomplete or outdated information in downstream systems and reports.
  • •Increased manual effort to track down missing files and re-run processes.
  • •Potential for financial or operational impact due to missed data updates.
Technical Description

%, Number

Examples
Good quality vs poor quality indicators
Good Quality Examples

Logistics: All expected daily sensor reading files from equipment (e.g., cranes, RTGs) are received and processed by the IoT platform.

Manufacturing: All required compliance documentation files (e.g., safety inspection reports) for each piece of equipment are present in the asset management system.

Retail: The weekly sales data files from all regional offices are consistently delivered on time to the central analytics server.

Poor Quality Examples

Logistics: The monthly financial data feed from a subsidiary terminal is missing for the last two months.

Manufacturing: Daily production log files from one of the assembly lines were not received by the central data repository.

Retail: The point-of-sale system failed to upload the end-of-day transaction file for three stores yesterday.

Local Network
Quick Stats
Dependent KPIs0
Improvement Standards0
CategoryData files
API Access
GET /api/dq-dimensions/3240334b-851e-4493-a970-95a05f159cdb