 
			Informatica Persistent Data Masking
				
							
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                A software that enhances data protection by de-sensitizing and de-identifying sensitive data, and pseudonymizing data for privacy compliance and analytics. Masked data can be used in testing, analytics, or support environments while retaining context and referential integrity.                
            
            Strengths
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                            Efficient data maskingCan mask data in real-time with minimal impact on performance 
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                            Comprehensive masking techniquesOffers a wide range of masking techniques to ensure data privacy 
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                            Easy integrationCan be easily integrated with other Informatica products 
Weaknesses
                - 
                            ExpensiveCan be costly for small businesses or startups 
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                            Complex setupMay require technical expertise to set up and configure 
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                            Limited reportingReporting capabilities are limited compared to other data masking tools 
Opportunities
                - Increasing awareness of data privacy concerns creates a growing market for data masking tools
- Can expand into new markets by offering data masking solutions for different industries
- Can integrate with other data management tools to offer a comprehensive solution
Threats
                - Facing competition from other data masking tools in the market
- Changes in data privacy regulations may impact the demand for data masking tools
- Advancements in technology may render current data masking techniques obsolete
Ask anything of Informatica Persistent Data Masking with Workflos AI Assistant
https://www.informatica.com 
                
			             
                            
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                    Informatica Persistent Data Masking Plan
Informatica Persistent Data Masking offers flexible pricing based on the number of data sources and masking rules, starting at $50,000 per year.
             
                        









 
			 
			
		