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Match Analysis and Explainability dashboard

Use the Match Analysis and Explainability dashboard to explore match results, gain insights into the match process, and understand how record pairs are generated. You can use the match results to fine-tune the match model and gain trust in the quality of the match results.
The Match Analysis and Explainability dashboard includes the following tabs:

Overview tab

You can view key metrics of the match process, a visual summary of match trends, an analysis of the match and merge jobs, and a list of job instances that ran for a business entity.
The following image displays the Overview tab of the Match Analysis and Explainability dashboard:
The Match Analysis and Explainability dashboard shows the Overview tab with key metrics, a visual summary of match trends, match and merge jobs analysis, and a list of job instances. The Match and Merge Job Analysis section includes bar graphs for recent jobs.
The Overview tab has the following sections:

Key metrics

The Overview tab shows key metrics for the selected business entity from the date when the dashboard is enabled.
The key metrics shows the count of records based on the most recent match job run for the business entity.
The following image shows the key metrics of a business entity on the Match Analysis and Explainability dashboard:
The Match Analysis and Explainability dashboard shows the Overview tab displaying metrics such as total count of master records, source records, record pairs, source records that are not ready for match, total record pairs identified for review, and record pairs pending review.
The following table describes the details of key metrics displayed for a business entity:
Name
Description
Master Records
Total number of master records.
Source Records
Total number of source records.
Record Pairs
Total number of record pairs that the match process has identified.
Source Records that aren't Ready for Match
Number of source records that are set to the NOT_READY_FOR_MATCH state by the users.
Total Record Pairs for Review
Total number of record pairs that are identified for manual review.
Record Pairs Pending Review
Total number of record pairs that are pending review.
For example, if 1000 record pairs are identified for manual review and 100 record pairs are reviewed, then the record pairs pending review are 900.

Match trend

The Match Trend section provides a graphical representation of metrics from match and merge jobs, published match models, and batch jobs that ran to reset matched records, purge data, and generate match keys for the selected time period.
It shows the trend for the business entity from the date when the Match Analysis and Explainability dashboard is enabled. You can select a date range to view key metrics on the graph.
The following image displays the Match Trend section of the Overview tab:
The Match Trend section shows the graphical representation of the key metrics for the time period between May 21, 2025, and June 12, 2025.
    1Zoom
    2Export Data
    3Date Range
The following table lists the user interface elements that you can use in the Match Trend section:
User Interface Elements
Description
Zoom
View data by months, year, or all data.
Export Data
Exports key metrics of the jobs to a CSV file, that includes the job type and job description.
Date Range
Start and end dates to view the match trend.

Match and merge job analysis

The Match and Merge Job Analysis section displays bar graphs representing metrics for the 10 most recent match and merge jobs.
The graph shows metrics for each job, such as number of source records, record pairs, record pairs that were already merged, record pairs qualified for automated merge, and average match candidates. You can also view the time taken to complete each job. Additionally, the graph shows the time taken for a job to complete when fuzzy match is configured.
Note: The time taken for fuzzy match is longer than the total job duration because it includes the time of multiple parallel processes running within the same job.
The following image shows the Match and Merge Job Analysis section of the Overview tab:The Match and Merge Job Analysis section shows the Record Count tab selected. The bar chart in the section shows source records and record pairs counts, merge or qualified record pairs for auto-merge, and average match candidates for the recent 10 jobs, such as Match and Merge and Match Reset.
    1Record Count
    2Duration
    3Export Data
The following image shows the duration details of the 10 most recent match and merge jobs:The Match and Merge Job Analysis section shows the Duration tab selected. The bar chart in the section shows the total time, in minutes, that each job took to complete. It also shows the total time for jobs with fuzzy match configured.
The following table describes the user interface elements that you can use in the Match and Merge Job Analysis section:
Job Details
Description
Record Count
Displays bar graphs for metrics, such as the number of source records, record pairs, source records that exceed record pair limit, record pairs qualified for automated merge, and record pairs merged manually for each job using the bar chart.
Duration
Displays bar graphs for metrics, such as the total duration each job took to complete and total duration a job configured with fuzzy match took to complete.
Export Data
Exports details of the most recent jobs to a CSV file. The CSV file includes the latest 10 jobs run for the business entity and includes details, such as number of source records, record pairs, record pairs that were already merged or qualified for automated merge. It also includes the total and fuzzy match duration for each job.

Job instances

The Job Instances section displays a list of match and merge jobs that ran for a business entity and their details.
The following image displays the Job Instances section of the Overview tab:
The Job Instances section displays details of the match and merge jobs that ran for a business entity.
    1Find
    2Filter
    3Sort
  1. 4Export Data
The following table describes the details that you can view for each job instance:
Job Detail
Description
Name
Name of the job instance.
Start Time
Date and time when the job started.
End Time
Date and time when the job ended.
Duration
Total time taken to complete the job.
Status
Status of the job instance.
Records Processed
Number of records that the job processed.
Record Pairs
Number of record pairs that the job generated.
Match Model
Name of the match model that the job used.
The following table describes the user interface elements that you can use in the Job Instances section:
User Interface Elements
Description
Find
Searches jobs based on the job instance name or the match model name.
Filter
Filters jobs based on duration, status, records processed, record pairs, and match models.
Sort
Sorts jobs in ascending or descending order based on a selected column.
Export Data
Exports details of all job instances to a CSV file.

Outcome tab

You can view interactive pie charts of the match and merge outcomes with drill-down capabilities. You can view a list of record pairs generated by the match and merge strategies. Additionally, you can explore individual record pairs.
The Outcome tab consists of the following sections:
The following image displays the Outcome tab of the Match Analysis and Explainability dashboard:
The Outcome tab shows pie charts that display the outcome of match and merge strategies and the record pairs generated based on these strategies.

Match strategy

The Match Strategy section displays a pie chart representing the number of record pairs generated by Adaptive AI matching and Directed AI matching using exact and fuzzy rules. Each segment of the pie chart is clickable and filters record pairs based on the selected segment.
The legend shows the percentage of record pairs for each match strategy.
The following image shows the Match Strategy section and the corresponding record pairs in the Record Pairs section:
The Match Strategy section shows a pie chart that displays the percentages od record pairs for Directed Exact Match, Directed Fuzzy Match, and Adaptive AI Match. The Record Pairs section lists records based on the Directed Exact Match strategy.
  1. 1Export Data
The following table lists the user interface element that you can use in the Match Strategy section:
User Interface Elements
Description
Export Data
Exports details, such as number and percentage of record pairs generated based on each match strategy to a CSV file.

Merge strategy

The Merge Strategy section displays a pie chart representing the number of record pairs generated based on automated and manual merge rules. Each segment of the pie chart is clickable and filters record pairs based on the selected segment.
The legend shows the percentage of record pairs for each merge strategy.
The following image shows the Merge Strategy section and the corresponding record pair in the Record Pairs section:
The Merge Strategy section shows a pie chart that displays the percentages of record pairs for Automated and Manual merge. The Record Pairs section lists the record pairs generated based on the Automated Merge strategy.
  1. 1Export Data
The following table lists the user interface element that you can use in the Merge Strategy section:
User Interface Elements
Description
Export Data
Exports details, such as the number and percentage of record pairs generated based on each merge strategy to a CSV file.

Record pairs

View the details of record pairs that the match and merge strategies generated.
When you select a section of the match or merge strategy pie chart, the Record Pairs section shows the matched record pairs corresponding to the selection.
The following image displays the Record Pairs section of the Outcome tab:
The Record Pairs section shows the record pair details based on the match and strategies, and the options such as find, filter, sort, show additional details, and export data are highlighted.
  1. 1Find
  2. 2Filter
  3. 3Sort
  4. 4Show Additional Details
  5. 5Export Data
The following table lists the record pair details you can view for each record pair:
Job Detail
Description
Record
Field values of the record pairs.
Source System
Source system associated with the record pairs.
Source Primary Key
Unique identifier of the source record.
Match Strategy
Type of matching that the directed AI match rule performs, such as exact, fuzzy, or Adaptive AI.
Merge Strategy
Action to perform during the merge process. The values are Manual and Automated.
Match Model and Rule Details
Name of the match model and the directed AI match rule that the job used.
Match Score
Score that indicates how similar the record pairs are.
Matched Date
Date when the record pairs were matched.
Match Fields
Business entity fields of the source records based on which the record pairs are matched.
The following table lists the user interface elements that you can use in the Record Pairs section:
User Interface Elements
Description
Find
Searches the record pairs based on the field value in the Records column.
Filter
Filters record pairs based on source system, match strategy, merge strategy, match model and rule details, total match score, and matched date. You can also select sections of the pie chart to apply filters.
Sort
Sorts the record pairs in ascending or descending order based on a selected column name.
Show Additional Details
Displays the details of a selected record pair in the Record Pair Details section.
Export Data
Exports record pair details to a CSV file.

Record Pair Details section

To view additional details of a record pair, select a record pair and click Show Additional Details. You can view details, such as the match fields, match status for exact matches, and match scores for fuzzy matches.
The following image shows the record details of the record pair selected in the Record Pairs section:
The Record Pairs Details section shows additional details, such as the match fields for the record pairs, match score for the fuzzy match strategy, and the match status for the exact match strategy.
The following table lists the details of the selected record pair:
Record Pair Details
Description
Record 1
Name of the first source record in the selected record pair.
Record 2
Name of the second source record in the selected record pair.
Total Match Score
Score that indicates how similar the record pairs are. The value is the sum of match scores of fuzzy match fields.
Note: A decimal value is rounded off to display the total match score.
Merge Strategy
Action to perform during the merge process. The values are Manual and Automated.
Match Type
Type of matching that the directed AI match rule uses, such as directed AI match or adaptive AI match.
Match Model and Rule Details
Name of the match model and the directed AI match rule that the job used.
Match Fields
Name of the business entity fields that the directed AI match rule uses for matching.
Match Strategy
Type of match that the directed AI match rule performs.
Match Score
Score that indicates how similar the match fields of the record pairs are. Applicable to directed AI match rules with the fuzzy match strategy.
Contribution to the Total Match Score
Match status for exact match fields, and shows the match score contribution of fuzzy match fields to the total match score.

Source System tab

Use the Source System tab to view a graphical summary of record pairs categorized by source systems. You can view a heat map of record pairs originating from each source system or from a combination of two source systems. Additionally, view a bar chart that displays the number of source records from each source system. When you click the heat map, you can filter record pairs by source systems and then explore individual record pairs.
Note: The Source System tab displays data after a match job has run following the October 2025 release. The data includes both the current job data and the historical data from previously run jobs.
The following image shows the Source System tab of the Match Analysis and Explainability dashboard:
The Source System tab of the Match Analysis and Explainability dashboard contains the Record Pairs By Source System heat map, the Number of Records by Source System bar chart, and record pair details for the selected source systems.
The Source System tab consists of the following sections:

Record Pairs by Source System

The Record Pairs by Source System section displays a heat map that represents the distribution of record pairs across source systems.
When you select a cell in the heat map that corresponds to source systems, you can view the count of record pairs and their details.
The following image shows the Record Pairs by Source System section and the corresponding record pairs in the Record Pairs section:
The Source System tab shows a heat map that displays the distribution of record pairs across source systems. The Record Pairs section shows the details of record pairs contributed by the selected source systems.
  1. 1Export Data
  2. 2Full Screen
The following table describes the user interface elements that you can use in the Record Pairs by Source System section:
User Interface Elements
Description
Export Data
Exports details, such as the total number of record pairs contributed by the selected source systems, to a CSV file.
Full Screen
Maximizes the Record Pairs by Source System section to view the heat map in full screen.

Number of Records by Source System

The Number of Records by source system section displays a bar chart representing the total number of records from each source system.
The following image shows the Number of Records by Source System section:
The Source System tab shows a bar chart in the Number of Records by Source Systems section that displays the number of source records for each source system.
  1. 1Export Data
  2. 2Full Screen
The following table describes the user interface elements that you can use in the Number of Records by Source System section:
User Interface Elements
Description
Export Data
Exports details, such as the total number of record pairs for each source system, to a CSV file.
Full Screen
Maximizes the Record Pairs by Source System section to view the heat map in full screen.

Record Pairs

The Record Pairs section displays the details of record pairs associated with source systems.
When you select source systems in the heat map, the Record Pairs section filters the record pairs from the selected source systems.
The following image displays record pairs in the Record Pairs section for the source systems selected in the heat map:
The Record Pairs section displays the record pair details of the selected source systems and provides options, such as find, filter, sort, show additional details, and export.
    1Find
    2Filter
    3Sort
  1. 4Show Additional Details
  2. 5Export
The following table describes the columns in the Record Pairs section:
Record Pair Property
Description
Record
The display name of records in the record pairs.
Source System
Source system associated with the record.
Source Primary Key
Unique identifier of the record.
Match Strategy
Type of match strategy that identified the record pair, such as exact, fuzzy, or Adaptive AI.
Merge Strategy
Type of merge strategy to use during the merge process. The values are Manual and Automated.
Match Model and Rule Details
Name of the match model and the Directed AI match rule that identified the record pair.
Match Score
A score that indicates how similar the record pairs are.
Record Pair Creation Date
Date when the record pairs were matched.
Match Fields
Business entity fields based on which the record pairs were matched.

Record Pair Details

When you select a record pair, the additional details of a record pair appear in the Record Pair Details section.
The following image displays the additional details of a record pair:
The Source System tab displays the Record Pair Details section that shows the additional details of a record pair, such as field match score, match weight, match score, and match result.
The following table describes the user interface elements that you can use in the Record Pairs section:
User Interface Elements
Description
Find
Search the record pairs based on the column values.
Filter
Filter record pairs based on column values, such as source systems, match strategy, merge strategy, match model and rule details, match score, and record pair creation date.
Sort
Sort the record pairs based on the selected column.
Show Additional Details
Displays additional details, such as field match score, match weight, and match result, of a selected record pair in the Record Pair Details section.
Export Data
Export record pair details to a CSV file.
The following table describes additional details that you can view in the Record Pair Details section:
Record Pair Details
Description
Record 1
The display name of the of the first source record in the record pair and the source system to which the record belongs.
Record 2
The display name of the second source record in the record pair and the source system to which the record belongs.
Match Score
Score that indicates how similar the record pairs are. Applicable to record pairs that were identified by Directed AI match rules that use fuzzy match strategy.
Match Fields
Name of the business entity fields that matched the record pairs.
Merge Strategy
Type of merge strategy to use during the merge process. The values are Manual and Automated.
Field Match Score
The score assigned to match fields within a record pair based on the similarity of their values. The higher the score, the more similar the values are. Applicable to Directed AI match rules with fuzzy match strategy.
Match Weight
Indicates the weight or importance of a match field within a record pair. Match weight is a decimal number that varies based on the field type configured in the match model. Fields with higher match weight are given greater importance during the match process.
For example, if the field type selected in the match model is Person_Name, the match process assigns greater importance to the Full Name field than to the Address Line 1 field.
Match Result
Displays the weighted match score for fuzzy match fields, and displays Match as the status for exact match fields.
The weighted match score is calculated by multiplying the match weight by the field match score for each match field. For example, if the match weight for the Full Name field is 0.3 and the field match score is 96, the weighted match score would be 0.3 × 96 = 28. If the overall match score for this record pair is 100, then 28 is the weighted match score contributed by the Full Name field.

Match Model tab

You can view a summary of record pairs identified by rank-based Directed AI match rules, threshold-based Directed AI match rules, and Adaptive AI match models. You can explore and analyze record pairs identified by each Directed AI match rules.
Use the Match Model tab to explore the summary of match results and gain insights into the match process. You can also modify the match configuration to get trust match outcomes. For example, if a Directed AI match rule didn't generate any match pairs, you can consider removing it or updating its properties.
Additionally, you can click on the percentage of record pairs in each Directed AI match rule to further explore and analyze the record pairs identified by that match rule.
The following image displays the Match Model tab of the Match Analysis and Explainability dashboard:
The Match Model tab of the Match Analysis and Explainability dashboard shows a table that lists match models with their name, description, version, and record pairs. It also shows the percentage of record pairs based on rank-based Directed AI match rules, threshold-based Directed AI match rules, and Adaptive AI match models.
  1. 1Find
  2. 2Filter
  3. 3Sort
  4. 4Export Data
  5. 5View Record Pairs Summary
The following table lists the details you can view in the Match Model tab:
Job Detail
Description
Name
Name of the match model that contains the Directed AI match rule.
Description
Short description to identify a Directed AI match rule.
Version
Version of the match model.
Last Used
Date when the record pairs were matched.
Record Pairs
Total number of record pairs including rank-based Directed AI rules, threshold-based Directed AI rules, and Adaptive AI Models.
Rank-based Directed AI Rules
Percentage of record pairs based on rank-based Directed AI rules.
Threshold-based Directed AI Rules
Percentage of record pairs based on threshold-based Directed AI rules.
Adaptive AI Models
Percentage of record pairs based on Adaptive AI Models.
The following table lists the user interface elements that you can use in the Match Model tab:
User Interface Elements
Description
Find
Searches based on the match model name and description.
Filter
Filters based on name, description, version, matched date, record pairs, and Directed AI match rules.
Sort
Sorts the record pairs in ascending or descending order based on a selected column name.
Export Data
Exports the details in the Match Model tab to a CSV file.
View Record Pairs Summary
Summary of total record pairs from active, deleted, and all match models.

Rank-based rules

The Rank-based rules section lists the directed AI match rules that are ranked in a match model. You can view a list of directed AI match rules with their ranks, the configuration, the associated match model, and the number of record pairs they identified.
The following image displays the Rank-based Rules section of the Match Model tab:
The Rank-based Rules section displays rank-based directed AI match rules and the options such as find, filter, sort, and export are highlighted.
    1Find
    2Filter
    3Sort
  1. 4Export
The following table describes the details that the Rank-based Rules section displays:
Name
Description
Model Name
Name of the match model that contains the directed AI match rule.
Version
Version of the match model.
Rank
Execution order of the directed AI match rule in the match model.
Match Strategy
Type of match that the directed AI match rule performs.
Merge Strategy
Action to perform during the merge process. The values are Manual and Automated.
Match Criterion
Type of data to use for matching. Applicable to directed AI match rules with the fuzzy match strategy.
Rule Description
Short description to identify a directed AI match rule.
Record Pairs
Number of record pairs that the directed AI match rule identified.
The following table lists the user interface elements that you can use in the Rank-based Rules section:
User Interface Elements
Description
Find
Search the directed AI match rules based on the column values.
Filter
Filter directed AI match rules based on the column values.
Sort
Sorts the directed AI match rules in ascending or descending order based on the selected column name.
Export Data
Export details of the directed AI match rules to a CSV file. The CSV file includes properties of directed AI match rules, such as model name, version, and match criterion.

Record pairs from threshold-based rules

The Match Model page lists the threshold-based Directed AI match rules in a match model and the number of record pairs generated based on each rule.
To open the Record Pairs from Threshold-Based Rules page, click the percentage value in the Threshold-based Directed Rules column in the Match Model page.
The following image displays the Record Pairs from Threshold-Based Rules page:
The Record Pairs from Threshold-Based Rules page displays the threshold-based AI match rules and record pairs that the rules generated.
The Record Pairs from Threshold-Based Rules page has the following sections:

Threshold-based Directed AI match rules details

The Threshold-Based Directed AI Match Rules Details section lists the Directed AI match rules in a match model. You can view a list of Directed AI match rules, the merge thresholds for automated and manual merge strategies, the number of record pairs identified for manual and automated merges, and the total record pairs determined by the majority outcome of the rules.
The following image displays the Threshold-Based Directed AI Match Rules Details section:
The threshold-based AI match rules section displays the AI rules that matched and options, such as find, filter, sort, and export data are highlighted.
    1Find
    2Filter
    3Sort
  1. 4Export
The following table describes the user interface elements that you can use in the Threshold-Based Directed AI Match Rules Details section:
User Interface Elements
Description
Find
Search the Directed AI match rules based on the column values.
Filter
Filter Directed AI match rules based on the column values.
Sort
Sort the Directed AI match rules in ascending or descending order based on the selected column name.
Export Data
Export details of the Directed AI match rules to a CSV file.
The following table describes the rule details that the Threshold-Based Directed AI Match Rules Details table displays:
Name
Description
Rule ID
System-generated identifier of the Directed AI match rule.
Description
Short description to identify a Directed AI match rule.
Match Criterion
Type of data to use for matching. Applicable to Directed AI match rules with the fuzzy match strategy.
Manual Merge Thresholds
Merge threshold configured for the manual merge strategy.
Record Pairs for Manual Merge
Total number of record pairs identified for manual merge.
Automated Merge Thresholds
Merge threshold configured for the automated merge strategy.
Record Pairs for Automated Merge
Total number of record pairs identified for automated merge.
Record Pairs by Majority Outcome of Rules
Total number of record pairs for which the rule agreed with the majority decision.

Match field details

You can view details of a Directed AI match rule, such as the match strategy, field type, field name, field property, and value. To view the details, select a rule and click View Match Field Details.
The following image shows the match field details of a selected Directed AI match rule:
The match fields section displays the details of the match fields that matched by the rule.
The following table describes the match field details of a selected Directed AI match rule:
Match Field Details
Description
Match Strategy
Type of match strategy that the Directed AI match rule uses, such as exact or fuzzy.
Field Type
Type of data that the match field contains. Applicable to Directed AI match rules with the fuzzy match strategy.
Field Name
Name of the business entity field that the Directed AI match rule uses for matching. Applicable to Directed AI match rules with the fuzzy match strategy.
Field Property
Additional properties configured for the match field, such as segment matching and null matching.
Value
Value to identify segment data for matching.

Record pairs

You can view the details of record pairs that the threshold-based Directed AI match rules generated.
When you select a rule in the Threshold-Based Directed AI Match Rules Details section, the Record Pairs section shows the record pairs associated with the selected rule.
The following image displays the Record Pairs section of the Record Pairs from Threshold-Based Rules page:
The Record Pairs section displays the record pair details based on threshold-based AI match rules and options, such as find, filter, sort, show additional filters, and export data are highlighted.
  1. 1Find
  2. 2Filter
  3. 3Sort
  4. 4Show Additional Details
  5. 5Export Data
The following table describes the user interface elements that you can use in the Record Pairs section:
User Interface Elements
Description
Find
Search the record pairs based on the field value in the Records column.
Filter
Filter record pairs based on matched date, match score, and source systems.
Sort
Sort the record pairs in ascending or descending order based on a selected column name.
Show Additional Details
Displays the details of a selected record pair in the Record Pair Details section.
Export Data
Export record pair details to a CSV file.
The following table describes the record pair details you can view for each record pair:
Record Pair Details
Description
Record
Display name of records in the record pairs.
Source System
Source system associated with the record pairs.
Source Primary Key
Unique identifier of the source record.
Match Score
Score that indicates how similar the record pairs are.
Job ID
Unique identifier of the job instance that used the Directed AI match rule to match record pairs.
Matched Date
Date when the record pairs were matched.
Match Fields
Business entity fields of the source records based on which the record pairs are matched.

Record pair details

You can view details of record pair, such as the match fields, match status for exact matches, and match scores for fuzzy matches. To view the details, select a record pair and click Show Additional Details.
The following image shows the details of the record pairs selected in the Record Pairs section:
The Record Pair Details section displays the additional details of a record pair selected in the record pairs table.
The following table describes the record pair details of the selected record pair:
Record Pair Details
Description
Record 1
Display name of the first source record in the selected record pair.
Record 2
Display name of the second source record in the selected record pair.
Merge Strategy
Type of merge strategy to use during the merge process. The values are Manual and Automated.
Match Score
Score that indicates how similar the record pairs are. The value is the sum of match scores of fuzzy match fields.
Note: A decimal value is rounded off to display the total match score.
Rule ID
System-generated identifier of the Directed AI match rule that generated the record pairs.
Note: The rule marked with the star icon indicates that the rule contributed to the total match score.
Description
Short description to identify a Directed AI match rule.
Match Fields
Name of the business entity fields that the Directed AI match rule uses for matching.
Field Match Score
The score assigned to match fields within a record pair based on the similarity of their values. The higher the score, the more similar the values are. Applicable to Directed AI match rules with fuzzy match strategy.
Match Weight
Indicates the weight or importance of a match field within a record pair. Match weight is a decimal number that varies based on the field type configured in the match model. Fields with higher match weight are given greater importance during the match process.
For example, if the field type selected in the match model is Person_Name, the match process assigns greater importance to the Full Name field than to the Address Line 1 field.
Match Result
Displays the weighted match score for fuzzy match fields, and displays Match as a status for exact match fields.
The weighted match score is calculated by multiplying the match weight by the field match score for each match field. For example, if the match weight for the Full Name field is 0.3 and the field match score is 96, the weighted match score would be 0.3 × 96 = 28. If the overall match score for this record pair is 100, then 28 is the weighted match score contributed by the Full Name field.

Record pairs from Adaptive AI match model

An Adaptive AI match model is trained to predict whether record pairs match. Based on the training, the model learns to make match predictions independently and identify matching record pairs.
The Record Pairs page in the Adaptive AI Match Model lists record pairs that matched based on the predictions from an Adaptive AI match model. To open the Record Pairs from Adaptive AI Match Model page, click the percentage value in the Record Pairs in the Adaptive AI Match Model column in the Match Model page.
The following image displays the Record Pairs from the Adaptive AI Match Model page:
The Record Pairs from Adaptive AI Match Model page displays the match fields that were used in training the model and total record pairs that were predicted by the model.
The Record Pairs from Adaptive AI Match Model page has the following sections:

Match fields

An Adaptive AI match model uses match fields in the training process. The Match Fields section shows the match fields that were used in training the Adaptive AI match model.
The following image displays the Match Fields section in the Record Pairs from Adaptive AI Match Model page:
The Match Fields section displays the match fields that were used in training the Adaptive AI match model.

Total record pairs

The Total Record Pairs section displays record pairs predicted as matches by the Adaptive AI match model.
The following image displays the total record pairs from the Adaptive AI match model:
The Total Record Pairs section displays the total record pairs predicted as matches by the Adaptive AI match model.
The following table describes the user interface elements that you can use in the Total Record Pairs section:
User Interface Elements
Description
Find
Search the record pairs based on the column values.
Filter
Filter record pairs based on source systems, match score, and record pair creation date.
Sort
Sort the record pairs in ascending or descending order based on a selected column name.
Show Additional Fields
Displays the additional details of a selected record pair in the Record Pair Details section.
Export Data
Export record pair details to a CSV file.
The following table describes the record pair details that the Total Record Pairs table displays:
Record Pair Details
Description
Record
The display names of records in the record pairs.
Source System
Source system associated with the record pairs.
Source Primary Key
Unique identifier of the source record.
Match Score
Score that indicates how similar the record pairs are.
Job ID
Unique identifier of the job instance that used the Adaptive AI match model to match record pairs.
Record Pair Creation Date
Date when the record pairs were matched.
Match Fields
Business entity fields of the source records based on which the record pairs are matched.

Record pair details

The Record Pair Details section displays additional details of a record pair in the Total Record Pairs table. To view additional details, select a record pair in the table.
The following image displays the additional details of a record pair in the Total Record Pairs section:
The Record Pair Details section displays the additional details of a selected record pair in the record pairs table.
The following table describes the additional details that the Record Pairs Details section displays:
Record Pair Details
Description
Record 1
Display name of the first source record in the selected record pair.
Record 2
Display name of the second source record in the selected record pair.
Merge Strategy
Type of merge strategy to use during the merge process. The values are Manual and Automated.
Match Score
Score that indicates how similar the record pairs are. The value is the sum of match scores of fuzzy match fields.
Note: A decimal value is rounded off to display the total match score.
Match Fields
Name of the business entity fields that the Directed AI match rule uses for matching.