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Value Check

The Value Check processor compares the data in an attribute against a single value.

There are a number of options for performing the comparison:

Use

Use Value Check as a simple way of filtering records according to the value of a single attribute. This might be to concentrate analysis on an area of interest, or to check values against a threshold value.

Configuration

Inputs

One attribute only (any type)

Options

Option

Type

Purpose

Default Value

Value to compare records against

Free text entry - See Note 1 below

The value to compare against

none

Interpretation of null records

Selection (null/pass comparison/fail comparison)

 

null

Comparison operator

Selection (equals/greater than/greater than or equal/less than/less than or equal) - See Note 2 below

Determines how the value will be checked.

equals

Ignore case?

Yes/No

Determines whether or not to ignore case when matching a String attribute against a value.

Yes

Note 1:It is possible to compare a Number attribute against a numeric value, a DATE attribute against a valid date value - entered in the format specified by the hint (dd-MMM-yyyy HH:mm) - and a String attribute against any value. Invalid comparisons will cause the process to fail.

Note 2: For String attributes, alphabetic sorting is used when interpreting what the 'greater than' and 'less than' operators mean. So 'Michael' is greater than 'Matthew' etc. For date values, later dates are 'greater than' earlier dates.

Outputs

Data attributes

None

Flags

Flag attribute

Purpose

Possible Values

ValueValid

Indicates which data meets the Value check: Passes, Fails and Nulls

Y/N/-

Publication to Dashboard

A Value Check's results may be published to the Dashboard.

The following interpretation of results is used by default:

Result

Dashboard Interpretation

Valid

Pass

Null

Pass

Invalid

Alert

Execution

Execution Mode

Supported

Batch

Yes

Real time Monitoring

Yes

Real time Response

Yes

Results Browsing

The Value Check produces a summary view of its results, showing the following statistics:

Statistic

Meaning

Valid Records

Records that passed the value check

Invalid Records

Records that failed the value check

Null Records

Null records (if the option was used to classify these separately)

Output Filters

The following output filters are available from a Value Check:

Example

In this example, records are filtered by a Gender attribute, using a value check of 'is equal to M':

Summary View

Drill-down on Valid Records

 

Oracle ® Enterprise Data Quality Help version 9.0
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