Explore standardizing terms, Identifying and removing duplicate records, Identifying and grouping related records, Incorporating manual review into the data quality process.

Learn Data Quality capabilities—Parsing, Standardization, Matching, Deduplication, Review of Exception Records.

Know-how of types of parsing. Analyze parsing results.

Standardize terms and personal names, and explore templates for standardization.

Learn about matching terminologies, standard fields in matching tasks, match rules, matching records, universal matching service, express match key, analyzing match results, and dataflow templates for matching.

Remove duplicate records either by using filtering or by merging data from groups of duplicate records into a single record.

Manage exception records. Design a dataflow for validating exception records in real-time.

Lookup tables and its usage. Data Normalization tables and Universal Name tables. Information about tasks related to lookup table, and importing data into a lookup table.

Configure Data Stewardship settings.

Access stages for Advanced Matching, Data Stewardship, Data Normalization, and Universal name.

Tips to improve performance of data quality stages for Advanced Matching, Data Normalization, and Universal Name.

Lists the ISO codes for each country as well as the modules that support addressing, geocoding, and routing for each country.