Developer Workflow Guide

10.4.0
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Types of Exception Data

The Exception transformation generates database tables that contain records with an unverified data quality status. The Human task user examines each record and attempts to resolve any issue the record contains.

A record can have the following types of data quality issue:

The record may contain errors or empty cells. The Human task user examines the records and attempts to update the record with correct and complete data.

The record may be a duplicate of another record. The Analyst tool displays duplicate record sets in groups called

clusters

. The Human task user examines the clusters and attempts to create a single preferred version of the records in each cluster.

The user can apply the following status indicators to a record or cluster:

The record or cluster issues are resolved, and the record can remain in the database. In the case of clusters, the preferred record remains in the table and the redundant duplicate records are dropped.

The record or cluster issues are unresolved and the record needs further processing.

The record or cluster contains unusable data and can be dropped from the table.

Human Tasks and Exception Data Management

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