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  • Delpha Documentation
    • Welcome to Delpha Documentation
    • Delpha Setup
      • Install Delpha
        • Install Delpha package from the Salesforce App Exchange
        • Assign a Delpha Permission Set Group
        • Assign a Delpha licence to the users
        • Connect the org to Delpha
      • Import Conversations
      • Extra Tasks
        • Check my org settings
        • Install Delpha Connector for LinkedIn Enrichment
    • Delpha Upgrade
    • Delpha Apps
      • Delpha Setup
        • Delpha configuration
          • First Steps
          • Token Usage
          • Data Quality - Account
          • Data Quality - Contact
          • Duplicates
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          • Default Values
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          • High-level overview of the conversation builder
      • Delpha Data Quality
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        • Duplicate Data Steward view
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    • Use Cases Setup
      • Duplicate
        • Setup
          • Initialize the default settings
          • Activate Auto Merge
        • Duplicate detection
          • Properties section
          • Fields section
        • Run your first duplicate detection
        • Duplicate Merge
          • Merge Object Rules section
            • Master Record Selection
            • Custom rule for Master Record selection
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          • Merge Field Rules section
      • Data Quality
  • Delpha Campaigns
    • Create a Delpha Campaign
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  • HOW TO - FAQ
    • Quick Start Guide
    • Delpha Integration
      • How to add Delpha components in my standard layout
      • How can I add Delpha fields in my standard layout
      • How to manage conversation priority
      • How to manage the conversation auto opening
    • Delpha Job Tracking
      • How to display the Job History
      • How does job tracking works
    • Delpha LinkedIn Connector
      • How can I connect my LinkedIn Account to Delpha
      • I am not allowed to install Delpha Connector on my browser
      • How many records can be enriched with LinkedIn in a day per user?
      • How can I check if a LinkedIn cookie is properly set or valid
      • How is used my LinkedIn Cookie
      • How can I automate my lead generation
    • Delpha Duplicate
      • What is a Filtering Rule and how to use it
      • What is the Expression and how to use it
      • How to exclude records from the analysis
      • How to make Duplicate Records exclusion dynamic
      • How to Fix Duplicates in Salesforce with Delpha – Automatic, Bulk & Manual Options
      • How to modify the detection threshold
      • How to modify the auto process threshold
      • What algorithms are used by Delpha
      • How does the Duplicate scoring work
      • How to define a Golden Record for Duplicate
      • How do you differentiate Do Not Compare & Is Golden Record
      • How to sync Salesforce & Hubspot to deduplicate records
      • Duplicate detection - When does it happen?
      • How to set the frequency of the Auto Merge
      • How to create a Master selection custom rule
      • How to create a Master selection custom rule - Advanced
      • What are the duplicate status?
      • How to Merge 2 leads with different currencies
      • What is a Duplicate credit?
      • Do I consume a credit when merging a pair?
      • What is field grouping?
      • How can I hide a field from the Delpha Bot conversation?
      • How can I keep both values of a field after the merge
      • Some duplicate are not detected, what can I do?
      • Can I ignore some field values when detecting duplicates?
      • What data is available for Duplicate?
      • How can I create custom reports on Duplicate
    • Delpha Data quality
      • What are the 6 data quality dimensions
      • How to exclude records from the analysis
      • How to fix my data quality
      • What is a Token?
      • Do I consume a token when applying a Delpha recommendation?
      • What are the Data Quality dimensions for Contact Name
      • How Contact Name Normalization works?
      • What are Data Quality Dimensions for Contact Email
      • What are the Data Quality fields for Contact Email
      • What are the Data Quality dimensions for Address
  • Delpha Campaigns
    • How to add records to a campaign from reports?
  • TROUBLESHOOT
    • Grant access for Delpha Support
    • Error when connecting to Delpha
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  • Normalization Strategies
  • Casing Strategy (default: "identity")
  • Character Strategy (default: "identity")
  • Spacing Strategy (default: "identity")
  • Block Removal Strategy (default: "identity")
  • Combining Strategies
  • Examples

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  1. HOW TO - FAQ
  2. Delpha Data quality

How Contact Name Normalization works?

Name analysis relies on the standard Contact.Name field

Normalization Strategies

Name normalization is modular and configurable. Each strategy can be set independently, and multiple strategies can be combined for robust normalization. The main strategies are:

  • Casing Strategy

  • Character Strategy

  • Spacing Strategy

  • Block Removal Strategy

Each strategy is described below, with possible values and examples.

Casing Strategy (default: "identity")

Specifies how the casing of the name should be normalized.

Value
Description
Example Input
Example Output

identity

No changes to the casing.

Jean

Jean

uppercase

Converts all characters to uppercase.

jean

JEAN

lowercase

Converts all characters to lowercase.

Jean

jean

capitalize

Capitalizes the first letter of each word.

jean smith

Jean Smith

name

Capitalizes the first letter of each word and handles name particles.

jean mcdoNALD

Jean McDonald

Character Strategy (default: "identity")

Defines the strategy for character validation and filtering.

Value
Description
Example Input
Example Output

identity

No changes to the characters.

Je1an-朙-李@#.

Je1an-朙-李@#.

latin-name

Keeps only Latin alphabet (with accents) and valid name punctuation. Removes symbols, numbers, emojis, etc.

Je1an-朙.#️⃣

Jean-

universal-name

Keeps all alphabets (Latin, Cyrillic, Chinese, etc.) and valid name punctuation. Removes symbols, numbers, emojis.

Je1an-朙-李.#️⃣

Jean-朙-李

Spacing Strategy (default: "identity")

Specifies how spacing should be normalized in the name.

Value
Description
Example Input
Example Output

identity

No changes to spacing.

Jean

Jean

trim

Trims leading and trailing spaces.

" Jean "

"Jean"

normalize

Replaces multiple spaces with a single space.

" Jean Smith "

" Jean Smith "

clean

Combines both trim and normalize.

" Jean Smith "

"Jean Smith"

Block Removal Strategy (default: "identity")

Defines how blocks of text (such as titles, text within parentheses, or text after a comma) should be removed.

Value
Description
Example Input
Example Output

identity

No block removal.

Dr. Jean Smith (Ph.D), France

Dr. Jean Smith (Ph.D), France

remove

Removes titles, text within parentheses, and text after a comma.

Dr. Jean Smith (Ph.D), France

Jean Smith

Combining Strategies

You can combine any of the above strategies to achieve the desired normalization. For example, to strongly normalize a name, you might use:

  • casing_strategy = "name"

  • char_strategy = "latin-name"

  • spacing_strategy = "clean"

  • block_removal_strategy = "remove"

Examples

Casing Strategy

  • uppercase: jean → JEAN

  • capitalize: jean smith → Jean Smith

  • name: jean mcdoNALD → Jean McDonald

Character Strategy

  • latin-name: Je1an-朙.#️⃣ → Jean-

  • universal-name: Je1an-朙-李.#️⃣ → Jean-朙-李

Spacing Strategy

  • trim: " Jean " → "Jean"

  • normalize: " Jean Smith " → " Jean Smith "

  • clean: " Jean Smith " → "Jean Smith"

Block Removal Strategy

  • remove: Dr. Jean Smith (Ph.D), France → Jean Smith

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