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About Data Decay Functionality

Data decay is the way in which managed information becomes degraded or obsolete. You manage data decay in contact and account records from the Data Decay dashboard. The following two factors cause data decay:

• Data management is not up-to-date. When a data management module is unable to catch up with data changes or suffers from a lack of proper attention.
• Data storage application does not respond in time. When the data storage application does not respond in time to a new standard.

How Is Data Decay Managed?

You use the following methods to manage data decay:

• Decay metrics. These are a set of configurable criteria that allows you to determine how stale data has become during a period. The decay metrics include:
  • Decay indicator. Indicates a numeric code, ranging from 0-100. Over a period, this number is counted down. The countdown is based on a set of configurable rules when updates do not occurs.
  • Decay last updated date. The initial value for the Decay Last Updated Date field is set by the record's Last Updated Date entry. Subsequently, the attribute and relationship level decay updated date is captured at real-time and set for the Decay Last Updated Date.
• Decay granularity. Decay granularity is addressed through attribute decay. With attribute decay, decay metrics are calculated based on an individual attribute.
• Decay management. Decay management can be divided into the following main components:
  • Decay detection. Captures updates to the monitored attributes and relationships of a record and configures the metrics
  • Decay metrics recalculation. Indicates a process to retrieve the decay metrics for the monitored attributes and relationships of a record. It uses a set of predefined rules to calculate the new metrics value and update the metrics.
  • Decay correctness. Identifies the stale data. The identification is based on certain criteria and this component triggers a defined action.
  • Decay report. Generates the Decay Metrics reports regularly.