A
Address Matching
A matching type for contact records that ensures similar or duplicate records are accurately identified and either consolidated or maintained separately based on matching rules.
Aggressive Splitting
A grouping option that separates bridging records from all matching records.
Auto-approval Threshold
A threshold value that automatically approves any groups with a base score equal to or greater than the defined threshold value.
B
Bridging Prevention
A process that prevents two matching pairs from being combined by a common record into a group where the other records are not a good match. It splits bridged groups into sub-groups.
Business Tightness
A setting that determines the strictness of company name matching during the comparison process.
C
Constraints
Matching rules applied to records when comparing and scoring potentially matching records.
F
Fuzzy Matching
A technique used to identify and match similar but not identical data entries, by accounting for minor variations, typos, or inconsistencies.
M
Match
A module in the Syniti Knowledge Platform used to run match jobs, which is used to effectively match contact and operational data by comparing all relevant data and using a variety of strategies to process a wide array of standard errors.
Match Keys
Match keys are defined fields in each record used to compare and group potentially matching records.
Match Level
A match level automatically selected based on the column types mapped. However, the selection can be manually adjusted to the required level.
Matching Score
A value that sets the minimum threshold for records to be recognized as a potential match. For example, if the minimum score is 80, the combined component scores must be greater than 80 for the records to be considered a match.
N
Name/Business Matching
A matching type for name and company name records that ensures similar or duplicate records are accurately identified and either consolidated or maintained separately based on matching rules.
P
Post-matching Rules
Rules applied to fuzzy matching pairs before they are grouped, ensuring the final match criteria are met.
T
Tightness
A setting that controls the strictness of the matching process, defining how closely records need to match in order to be considered a match.
V
Volume
A setting that controls the number of records to be processed in a match job, determining the job's scale and capacity.
W
Weights
A total score is calculated when two records are compared; this is the sum of the scores generated for each component within the two records using the following weights:
Sure: Identical or equivalent components.
Likely: Very similar components.
Possible: Less similar components.
One Empty: One record contains no data for the component.
Both Empty: Both records contain no data for the component.