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Importance of
Customer Data
Normalization
www.clootrack.com
Improving
Data Quality Enhancing
Customer
Experience
Improving
Decision-Making
Facilitating
Data Analysis
Identify the Data
to be Normalized
Choose a
Normalization
Method
Calculate the
Normalization
Parameters
Apply the
Normalization
Function to the
Data
Check the Results
Use the
Normalized Data
www.clootrack.com
6 Steps to
Normalize Customer Data
Steps to Implement
Customer Data Normalization
www.clootrack.com
Identify
Data Sources
Develop Data
Normalization Rules
Create a Data
Normalization
Process
Implement Data
Normalization
Monitor and Review
Normalized Data
4 Challenges
of Customer Data
Normalization
www.clootrack.com
Complexity of Data
Sources
Variability in Data
Formats
Inconsistent Data
Quality
Resource Constraints
Best Practices
to Follow for Customer
Data Normalization
www.clootrack.com
Standardizing
Data Formats
Applying
Consistent
Naming
Conventions
Eliminating
Duplicate Data
Identifying and
Resolving
Inconsistent
Data
Mapping Data
to Common
Structures

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Customer Data Normalization: Transforming Raw Data into Actionable Insights

  • 1.
  • 2. Importance of Customer Data Normalization www.clootrack.com Improving Data Quality Enhancing Customer Experience Improving Decision-Making Facilitating Data Analysis
  • 3. Identify the Data to be Normalized Choose a Normalization Method Calculate the Normalization Parameters Apply the Normalization Function to the Data Check the Results Use the Normalized Data www.clootrack.com 6 Steps to Normalize Customer Data
  • 4. Steps to Implement Customer Data Normalization www.clootrack.com Identify Data Sources Develop Data Normalization Rules Create a Data Normalization Process Implement Data Normalization Monitor and Review Normalized Data
  • 5. 4 Challenges of Customer Data Normalization www.clootrack.com Complexity of Data Sources Variability in Data Formats Inconsistent Data Quality Resource Constraints
  • 6. Best Practices to Follow for Customer Data Normalization www.clootrack.com Standardizing Data Formats Applying Consistent Naming Conventions Eliminating Duplicate Data Identifying and Resolving Inconsistent Data Mapping Data to Common Structures