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What is AnalyticDiD?
Safeguarding sensitive information, particularly personally identifiable information (PII), through strategies such as pseudonymization and anonymization is crucial for secondary applications like comparative effectiveness research, policy assessments, and studies within the life sciences. As organizations gather large amounts of business data to discern patterns, gauge customer preferences, and stimulate innovation, the significance of this process grows. Adherence to legal frameworks like HIPAA and GDPR requires that data be stripped of identifying details; however, many current de-identification solutions focus primarily on eliminating personal identifiers, which can compromise the usability of the data. Transforming PII into formats that preclude identification while ensuring privacy is essential, and effectively utilizing data anonymization and pseudonymization techniques is key to this endeavor. This approach facilitates thorough data analysis without violating privacy laws. It is crucial to carefully choose suitable methods and privacy models from the broad domains of data de-identification and statistics to achieve effective data de-identification. Additionally, ongoing assessment of the evolving landscape of privacy standards is necessary to maintain compliance. Ultimately, achieving an equilibrium between data usability and the protection of privacy is essential for ethical data management practices.
What is Accelario?
Empowering your teams with complete data autonomy through a user-friendly self-service portal can streamline DevOps and address privacy issues effectively. This approach allows for simpler access, the removal of data obstacles, and accelerated provisioning for various functions such as data analysis, development, and testing. The Accelario Continuous DataOps platform serves as a comprehensive solution for all your data requirements. By eliminating bottlenecks in DevOps, you provide your teams with high-quality information that adheres to privacy regulations. With four distinct modules, the platform can function as independent solutions or be integrated into a larger DataOps management framework. Traditional data provisioning systems struggle to meet the dynamic needs of agile environments that require continuous, independent access to privacy-compliant data. With this all-in-one platform that offers self-provisioning and compliance, teams can easily fulfill the demands for rapid delivery and innovation. Ultimately, investing in such a solution not only enhances efficiency but also fosters a culture of data-driven decision-making within your organization.
Integrations Supported
Amazon EC2
Amazon RDS
Bitbucket
GitHub
GitLab
IBM Db2
Jenkins
MariaDB
MongoDB
MySQL
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
$0 Free Forever Up to 10GB
Priced per TB per month*:
Data Anonymization: $250 per 1 TB / month
Database Virtualization: $500 per 1 TB / month
*Pricing subject to change - available at the Accelario website by clicking Pricing
Data Anonymization: $250 per 1 TB / month
Database Virtualization: $500 per 1 TB / month
*Pricing subject to change - available at the Accelario website by clicking Pricing
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Fasoo
Company Location
United States
Company Website
en.fasoo.com/products/analyticdid/
Company Facts
Organization Name
Accelario
Date Founded
2017
Company Location
Israel
Company Website
accelario.com
Categories and Features
Data Anonymization
Not specified
Data Masking
Not specified
Categories and Features
Data Anonymization
Not specified
Data Masking
Not specified
Data Virtualization
Not specified
Database Virtualization
Not specified
DataOps
Not specified
Sensitive Data Discovery
Not specified