Name Parsing & Normalization

Standardize, correct, complete and certify every one of your customer records.

Key Benefits

Redpoint puts at your disposal the industry’s most sophisticated suite of functions for reconciling burdensome tasks in data parsing and normalization.

Orchestrated Data.

Handle structured and unstructured data across multiple systems – with different standardizations – and effectively support 360-degree views of every customer.

Lower Costs.

Eliminate losses and embarrassing intangible costs associated with poor normalization practices, such as mailing two catalogs to the same person.

Fully Scalable.

Use Redpoint’s proven techniques to efficiently and confidently solve enterprise-grade data parsing and normalization challenges, at true scale.

Key Highlights

Efficiently create clean versions of customers records through the rgOne™ platform’s native and proven capabilities.

Split Name Fields

Breakout full names fields into component parts (first and last name), and split name fields that include multiple people (John and Jane Smith).

Address Standardization (International)

Apply international addressing standardizations based on relevant local laws and regulations, such as Canada Post certification in the Software Evaluation and Recognition Program (SERP).

Standardize Salutations

Look for common name prefixes and salutations (Dr., Mr., Mrs., the Honorable) and standardize them across your entire customer database.

International Character Sets

Adjust information according to international variants (such as resume vs. resumé) to ensure proper formatting and contextual understanding.

Convert Business Names

Correct inconsistencies with business naming conventions (IBM vs. International Business Machines) and associate companies with their known parents (e.g., Dove and Unilever).

ELOT & Geocoding

Append the Extended Line of Travel (ELOT) data to postal address. Geocode data using U.S. Census TIGER Geospatial directories.

Address Standardization (U.S.)

Apply techniques certified by the U.S. Postal Service including Coding Accuracy Support System (CASS), Delivery Point Validation (DPV), Locatable Address Conversion System (LACS) and SuiteLink.

Alias Resolution

Take advantage of alias resolution for name-variance mapping (Lewis, Louis, Lew, and Lou; Street, St, and Str; Ave. of the Americas and 6th Ave.).

Name Variations

Add custom names files to account for cultural, regional and ethnic variances or user specific data requirements.

Gender Assignment

Associate probabilistic gender to customer records by leveraging census name and gender assignment.

Derive Value from Unstructured Data

Extract structured information from unstructured data, such as like social posts, and enrich customer profiles based on the content in-hand.

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