DataDAMA: 32

Latency

The period of time between the point when the data is created and the point when it is available for use.

Created: 10/30/2025
Business Impact
Positive Impacts
  • •Real-time or near real-time availability of data for immediate operational decisions and actions.
  • •Enhanced ability to monitor dynamic situations and respond quickly to events.
  • •Improved performance of time-sensitive applications (e.g., fraud detection, algorithmic trading).
  • •Better customer experience through instant access to up-to-the-second information.
Negative Impacts (if poor quality)
  • •Delayed availability of critical data, hindering timely responses and effective decision-making.
  • •Inability to effectively manage real-time operations or capitalize on fleeting opportunities.
  • •Poor performance or failure of applications that require low-latency data.
  • •Suboptimal customer experience if information or services are delayed.
Technical Description

Duration

Examples
Good quality vs poor quality indicators
Good Quality Examples

Logistics: Real-time crane position data and reefer temperature alerts are available to the planning and monitoring systems within seconds of the event.

Financial Trading: A low-latency market data feed provides stock price updates within milliseconds of market changes.

Emergency Services: Ambulance location data is transmitted to the dispatch center with sub-second latency.

Poor Quality Examples

Logistics: It takes 24 hours for gate move data (container entering/leaving terminal) to appear in the central reporting system, delaying operational analysis.

Financial Trading: Real-time stock price data feed has a 15-minute delay, making it unsuitable for high-frequency trading decisions.

Emergency Services: GPS location updates from emergency vehicles are delayed by 5 minutes, impacting dispatch efficiency.

Local Network
Quick Stats
Dependent KPIs0
Improvement Standards0
CategoryData
API Access
GET /api/dq-dimensions/dfe1a3b4-1bf7-44c8-b7d2-28940adf9edc