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What is Data Secure?

Protect your sensitive SAP data by tackling security vulnerabilities and following data protection regulations such as the EU's General Data Protection Regulation (GDPR), South Africa's Protection of Personal Information Act (POPI), and California's Consumer Privacy Act of 2018 (CCPA) with the help of Data Secureâ„¢. In today's business environment, prioritizing data security is crucial. Data Secureâ„¢, part of EPI-USE Labs' Data Sync Managerâ„¢ (DSM) suite, effectively addresses your data protection needs. This all-encompassing solution includes predefined masking rules that enable you to obscure any non-key fields across various SAP tables that depend on client data, utilizing methods like table look-up mappings, constant values, or even completely clearing a field. Moreover, these rules can be customized to meet your organization's unique security demands. By adopting Data Secure, your company can align with prominent data privacy standards and regulations, ensuring the safeguarding of sensitive information in accordance with GDPR, Sarbanes-Oxley, and the Federal Data Protection Act (BDSG). Ultimately, implementing such comprehensive security strategies not only guarantees compliance but also builds trust among clients and stakeholders while enhancing your organization's reputation in the marketplace.

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.

Media

Media

Integrations Supported

SAP Access Control
SAP Adaptive Server Enterprise (ASE)
SAP Agile Data Preparation
SAP Analytics Cloud
SAP Ariba
SAP Ariba Contract Management
SAP Ariba Supply Chain Collaboration
SAP BPC
SAP BusinessObjects Business Intelligence
SAP CPQ
SAP CRM
SAP Commerce Cloud
SAP Concur
SAP Crystal Reports
SAP Customer Consent
SAP Financials
SAP Fiori
SAP Store
SAP SuccessFactors Incentive Management
Sogeti SMART Workspace

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

EPI-USE

Date Founded

1983

Company Location

United States

Company Website

www.epiuselabs.com/data-secure

Company Facts

Organization Name

Fasoo

Company Location

United States

Company Website

en.fasoo.com/products/analyticdid/

Categories and Features

Data Masking

Not specified

Categories and Features

Data Anonymization

Not specified

Data Masking

Not specified

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