Amurta

GDPR un datu privātuma atbilstības rīki

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A extensive platform designed for data integration, governance, and quality management helps organizations to harness the full potential of their data while ensuring compliance and operational efficiency. Key features include real-time data observability, master data management, automated data migration, and democratization of data access, addressing challenges such as data complexity, compliance risks, and inefficient data handling for business and IT leaders alike.

Amurta var atrast šeit GDPR & Data Privacy Compliance Tools kategorijas.

Vislīdzīgākie produkti Amurta ir:

Taskade Paaugstināts → Agentic data trust platform → Informatica → Hevo → Collate →

Ekrānuzņēmumi

Sīkāka informācija

Amurta Galvenās funkcijas

• Data Assets
  This feature allows users to create customized sets of important data elements for their needs.
• Orchestrate
  This feature checks data quality by ensuring it is complete, accurate, and timely.
• Data Metrics
  This feature helps organizations understand their data better by providing quality scores.
• Data Quality
  This feature helps ensure that all data is accurate and complete, making it reliable for decision-making.
• Policy Engine
  This feature helps implement data controls based on regulatory requirements.
• Administration
  This feature manages user roles and permissions within the platform.
• Data Governance
  This feature sets rules and policies to manage data properly and ensure it meets regulations.
• Data Onboarding
  This feature helps bring in large amounts of complex data easily and efficiently.
• Data Trust Index
  This feature gives a score to data quality, helping users understand how trustworthy their data is.
• Business Glossary
  This feature provides definitions for important business terms to ensure everyone understands them.
• Orchestration Engine
  This feature coordinates the steps needed to ensure data quality and proper mapping.
• Policy & Rules Engine
  This feature defines the rules that data must follow to comply with regulations and maintain quality.
• Governance Stewardship
  This feature helps manage and fix incorrect data while involving data experts.
• Master Data Management
  This feature manages important data to keep it organized and consistent across the organization.
• Discover & Collaboration
  This feature allows users to track and manage data assets, promoting teamwork and knowledge sharing.
• Reference Data Management
  This feature helps manage and share important data sets that do not change often.
• Analyze & Execute Decisions
  This feature uses machine learning to improve data quality rules and support important business decisions.

Amurta Ieguvumi

• Enhances Compliance
  It helps businesses follow important rules and regulations, protecting them from legal issues.
• Tracks Data Quality
  The SaaS provides tools to check and improve the quality of data regularly, ensuring it remains trustworthy.
• Improves Data Quality
  The SaaS helps ensure that data is accurate and complete, which is important for making good decisions.
• Centralizes Data Access
  All divisions can access the same data from one place, making it easier for everyone to work together.
• Defines Governance Roles
  It clearly assigns responsibilities for data management, helping to keep data organized and secure.
• Improves Decision Making
  The SaaS uses advanced tools to analyze data, helping businesses make better and faster decisions.
• Automates Data Management
  It makes managing data easier by automating tasks, saving time and effort for users.
• Facilitates Collaboration
  Users can share knowledge and work together on data, improving teamwork across the organization.
• Protects Consumer Privacy
  It ensures that consumer data is handled safely, which builds trust with customers.
• Supports Digital Transformation
  The SaaS helps businesses change and grow by understanding their customers and market better.

Kam vajadzētu lietot Amurta?

• Data User
  They gain easy access to trusted data, helping them make better decisions based on accurate information.
• Data Owner
  They can oversee data assets and ensure compliance with regulations, protecting the organization's data.
• Data Steward
  They benefit by having tools to track and manage data quality, making sure the data is accurate and reliable.
• Retail Manager
  They can automate data quality checks, ensuring customer data is protected and used effectively.
• Banking Professional
  They can improve customer insights and manage risks better with reliable data for banking operations.
• Manufacturing Leader
  They can standardize product data, improving supply chain efficiency and policy adherence.
• Data Governance Officer
  They can use the platform to set rules and policies for data management, ensuring data is handled correctly.
• Pharmaceutical Executive
  They can improve drug safety and efficiency by managing data effectively in pharmaceutical processes.

Nozīmītes

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Kopijas nozīmīte

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Kopijas nozīmīte

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