DataDAMA: 37

Obtainability

The degree to which the data can be acquired.

Created: 10/30/2025
Business Impact
Positive Impacts
  • •Data needed for business processes and decision-making can be readily acquired when needed.
  • •Reduced delays in accessing critical information.
  • •Improved efficiency as users do not struggle to locate or gain permission for data.
  • •Better support for ad-hoc analysis and time-sensitive tasks.
Negative Impacts (if poor quality)
  • •Inability to acquire necessary data, leading to incomplete analysis or stalled processes.
  • •Significant delays and inefficiencies if data is hard to find, access-restricted without clear process, or in unusable formats.
  • •Missed opportunities if time-critical data cannot be obtained quickly.
  • •Frustration among users unable to get the data they need to perform their jobs.
Technical Description

Grade

Examples
Good quality vs poor quality indicators
Good Quality Examples

Logistics: Weather forecast data relevant to port operations is easily and reliably obtained via a subscription to a meteorological service API.

Market Research: Publicly available government statistics on import/export volumes can be readily downloaded from official websites.

Supply Chain: Key suppliers provide access to their inventory data through a secure B2B portal or EDI feeds.

Poor Quality Examples

Logistics: Historical maintenance records for port equipment are stored only on paper archives in a remote, difficult-to-access location.

Market Research: Competitor pricing data is proprietary and not publicly available or easily purchasable.

Supply Chain: Real-time inventory levels from a key supplier are not shared electronically and require manual phone calls to obtain.

Local Network
Quick Stats
Dependent KPIs0
Improvement Standards0
CategoryData
API Access
GET /api/dq-dimensions/662da2fa-c781-466e-a70a-ee0f195c7cc5