DataFleets (LiveRamp) - Detailed Review
Privacy Tools
DataFleets (LiveRamp) - Product Overview
DataFleets Overview
DataFleets, now a part of LiveRamp, is a cloud data platform that specializes in privacy-preserving data collaboration and analytics. Here’s a brief overview of its primary function, target audience, and key features:
Primary Function
DataFleets enables enterprises to unify and analyze data from various silos without moving the raw data beyond the enterprise’s firewall. This is achieved through advanced mathematical privacy technologies, including federated learning, which allows data analysis across different locations and silos as if the data were aggregated in one place.
Target Audience
The primary target audience for DataFleets includes large enterprises, particularly those in sensitive industries such as healthcare, financial services, and retail. These organizations need to comply with stringent privacy regulations while leveraging their data for insights and innovation.
Key Features
Privacy-Preserving Technology
DataFleets integrates multiple advanced privacy technologies, allowing for identity resolution and collaboration workflows across distributed data sets without compromising privacy or security.
Data Access Without Movement
The platform ensures that proprietary data is available for analytics without requiring the physical movement of data, thus maintaining data security and control.
Global Connectivity
DataFleets facilitates deeper connections across data sets that were previously siloed by infrastructure, industry, or geography, enabling global data insights.
Flexible Configuration
Users have the flexibility to configure privacy controls based on their specific business needs, ensuring that data protection aligns with their requirements.
Compliance with Regulations
The platform is designed to help customers comply with evolving privacy regulations around the world by integrating privacy into the infrastructure layers.
By combining these features, DataFleets (now part of LiveRamp) provides a comprehensive solution for enterprises to safely and effectively use their data while maintaining strict privacy and security standards.
DataFleets (LiveRamp) - User Interface and Experience
Privacy and Security Controls
The interface is built with a strong focus on privacy and security. Users have the ability to configure advanced privacy controls based on their business needs. This includes setting up trusted environments where data can be analyzed without sensitive information leaving the secure environment.
Ease of Use
The platform is designed to be user-friendly, allowing teams to make intelligent connections across data sets without requiring technical expertise in data movement or centralization. The system enables data collaboration without the need to move or copy data, which simplifies the process for users.
Distributed Data Collaboration
DataFleets’ technology, now part of LiveRamp, allows for distributed data collaboration. This means users can analyze data across different silos, infrastructures, and geographies as if the data were aggregated in one location. This feature is facilitated through a federated learning approach that keeps private data useful and useful data private.
Flexible Trust Management
The interface includes flexible trust management options, enabling users to configure the right types of data access for each partner. This ensures that data is used only as intended and that different levels of trust can be managed effectively.
Compliance and Auditing
Users can ensure compliance with major privacy legislation through easy-to-use audit logs. These logs allow users to filter queries by data and/or sites and apps within a self-service interface, making it easier to demonstrate compliance.
Overall User Experience
The overall user experience is centered around providing continuous control over data while facilitating collaboration. Users can specify appropriate access and tool privileges for their teams and partners, ensuring that data utility is maximized while maintaining security and privacy.
While the sources do not provide a detailed, step-by-step description of the UI elements, they emphasize that the platform is built with user needs in mind, focusing on simplicity, flexibility, and compliance with privacy regulations.
DataFleets (LiveRamp) - Key Features and Functionality
Introduction
DataFleets, now a part of LiveRamp, offers several key features and functionalities that are particularly noteworthy in the context of privacy-preserving data analytics and AI-driven products.Privacy-Preserving Technology
DataFleets employs advanced privacy-preserving technologies such as federated learning, differential privacy, secure multi-party computation, and homomorphic encryption. These technologies enable data teams to analyze and create machine learning models without aggregating or exposing the raw data. This ensures that no row-level data is ever exposed to analysts, and all analytics results are anonymized to comply with regulations like GDPR, CCPA, and HIPAA.Federated Machine Learning
DataFleets allows for federated machine learning, which means that machine learning models can be trained across multiple data sets without the need to move the data from its original secure location. This approach ensures that sensitive data remains in place while still enabling the creation of accurate and effective machine learning models.Analytics API and Data Access
The platform provides an Analytics API that enables secure and privacy-preserving data analytics. This API allows data teams to analyze data wherever it resides, without the need to move or aggregate the data. This results in a significant increase in available data and speed of access, with claims of up to 10x more data and 10x faster access.Compliance and Security
DataFleets ensures high standards of data security and compliance by adhering to best-practice principles. No data is moved from its original secure location, and no row-level data is exposed. All analytics results are anonymized to meet stringent regulatory standards. This approach provides robust and auditable security and privacy guarantees approved by regulators.Integration and Compatibility
The platform is cloud-agnostic and integrates with a wide range of data science and machine learning tools, including Apache Spark, Apache Arrow, TensorFlow, Keras, Scikit Learn, and others. It also supports major cloud providers like AWS, GCP, Alibaba Cloud, and Microsoft Azure, ensuring seamless integration into existing workflows without requiring changes.Extended Global Connectivity
DataFleets enables deeper connections across data sets that were previously siloed by infrastructure, industries, or geographies. This extended connectivity allows for more comprehensive data analysis and collaboration, enhancing the ability to create new data-driven products and services.Total Control and Flexibility
LiveRamp customers, through the integration of DataFleets, maintain continuous control over their data. They can choose the right approach and level of data protection to meet their specific business needs, ensuring flexibility and compliance in data collaboration and analytics.Conclusion
These features collectively enable organizations to maintain high data protection standards while accelerating their data science initiatives, making DataFleets a valuable addition to LiveRamp’s capabilities. DataFleets (LiveRamp) - Performance and Accuracy
Evaluating the Performance and Accuracy of DataFleets
Performance
DataFleets’ technology has been praised for its ability to enable data collaboration without compromising privacy or security. Here are some performance highlights:Data Access and Collaboration
DataFleets allows for the analysis of data across different silos and geographies without the need to move the data, ensuring that proprietary data remains secure and useful for analytics.Federated Learning
The platform supports federated learning, enabling the analysis of data as if it were aggregated in one location, even when it is distributed across various infrastructures and jurisdictions.Global Connectivity
DataFleets enhances LiveRamp’s ability to connect data sets that were previously siloed by infrastructure, industry, or geography, facilitating deeper and more extensive data collaboration.Accuracy
The accuracy of DataFleets is rooted in its advanced privacy mechanisms and secure data handling:Privacy-Preserving Technology
DataFleets integrates multiple advanced privacy technologies, allowing users to configure access and analyze data sets without exposing row-level data. This ensures that sensitive information remains protected while still enabling valuable insights.Compliance with Regulations
The technology is built with privacy in mind, ensuring compliance with major privacy legislation globally. This is particularly beneficial in highly regulated industries such as healthcare and financial services.Real-World Applications
For example, DataFleets was used in a COVID-19 research initiative where medical researchers could access a large clinical database without transferring the data, demonstrating its accuracy and effectiveness in real-world scenarios.Limitations or Areas for Improvement
While DataFleets offers significant advantages, there are a few areas to consider:Complexity in Implementation
Integrating such advanced technology can be complex, requiring significant effort to pull together the best of each technology and apply it effectively across various use cases.Customization and Flexibility
Although DataFleets provides flexible options for distributed data collaboration, ensuring that these solutions meet the specific needs of each business can be challenging. Continuous adaptation to evolving business needs and regulatory requirements is essential.User Education
The sophisticated nature of the technology may require additional education and support for users to fully leverage its capabilities, especially in industries with less experience in advanced data collaboration. Overall, DataFleets, as part of LiveRamp’s platform, demonstrates strong performance and accuracy in the Privacy Tools AI-driven product category, particularly in its ability to maintain data privacy and security while facilitating extensive data collaboration. However, the complexity of its implementation and the need for ongoing adaptation and user education are areas that require attention. DataFleets (LiveRamp) - Pricing and Plans
DataFleets Pricing Structure
Pricing Model
DataFleets operates on a user-based pricing model.
Basic Plan
The Basic plan costs $1000 per user. There is no detailed breakdown of the features included in this plan in the available sources, but it is clear that the pricing is based on the number of users.
There are no free options or multiple tiers described for DataFleets in the available information.
LiveRamp Pricing Structure (for context, though not directly related to DataFleets)
Data Marketplace Pricing Models
LiveRamp offers several pricing models for its Data Marketplace segments, including Programmatic Standard, Programmatic Hybrid, and Advertiser Direct. Each model has different billing mechanisms based on the use case and platform.
Flat Fee Data License
LiveRamp also offers a flat fee data license for specific use cases such as first-party data enrichment, analytics, and targeting. This can involve a monthly or annual fee based on the contract terms.
However, since the question specifically asks about DataFleets, the primary focus remains on the user-based pricing model without additional tiers or free options.
DataFleets (LiveRamp) - Integration and Compatibility
DataFleets Overview
DataFleets, now integrated into LiveRamp, offers a highly compatible and integrative platform for privacy-preserving data analytics and federated learning. Here are some key points on its integration and compatibility:
Platform Compatibility
DataFleets is cloud-agnostic, meaning it can operate seamlessly across various cloud platforms including Amazon Web Services (AWS), Google Cloud (GCP), Alibaba Cloud, and Microsoft Azure. This flexibility ensures that users can leverage the platform regardless of their preferred cloud infrastructure.
Tool Integrations
The platform integrates with a wide range of data science and machine learning tools, such as Apache Spark, Apache Arrow, TensorFlow, Keras, Scikit Learn, H2O.ai, PySyft, PyTorch, and Kubernetes. This integration allows data teams to use their existing workflows without significant changes.
Privacy Enhancing Technologies (PETs)
DataFleets supports various PETs, including federated learning, differential privacy, secure multi-party computation, and homomorphic encryption. These technologies are crucial for ensuring data security and privacy, and they are compatible with regulatory standards like GDPR, CCPA, and HIPAA.
LiveRamp Integration
Following the acquisition by LiveRamp, DataFleets’ technology is being fully integrated with LiveRamp’s Safe Haven platform. This integration enables secure data partnerships where companies can analyze data without moving it from its original secure location. This setup supports distributed data collaboration and enhances LiveRamp’s overall data protection capabilities.
Cross-Border and Siloed Data Analysis
DataFleets’ federated learning technology allows for the analysis of data across different silos and borders without aggregating the data in one location. This capability is particularly valuable in highly regulated industries such as healthcare and financial services, where data movement is restricted by regulations.
Compliance and Security
The platform ensures that no data ever moves from its original secure location, no row-level data is exposed to analysts, and all analytics results are anonymized to best-in-class standards. This ensures compliance with stringent regulatory requirements and maintains high security and privacy standards.
Conclusion
In summary, DataFleets, as part of LiveRamp, offers a highly integrative and compatible solution that supports a wide range of tools, platforms, and regulatory standards, making it a versatile and secure choice for data analytics and federated learning.
DataFleets (LiveRamp) - Customer Support and Resources
LiveRamp Customer Support
LiveRamp, the company behind the data collaboration platform, offers several comprehensive customer support options and additional resources to help users address various issues and maximize the use of their products.Technical Support
For technical issues, users can access the LiveRamp Community portal, which serves as a central hub for resolving technical support problems. Here, you can:- Create a new support case for issues such as file uploads, distribution troubleshooting, or billing calculations.
- Use the case management system to communicate with the support team, track the progress of open cases, and perform other case-related actions like updating case information or leaving feedback.
- Access quick case templates for common issues, which come with prepopulated information to streamline the process.
Accessing the Support Portal
To access the LiveRamp Community portal, you can click the Help icon from any page in the application and select “LiveRamp Community,” or use the “Go To LiveRamp Community” tile from the Welcome page.Forums and Community
The LiveRamp Community also includes forums where users can get answers from both LiveRamp support and the community. You can view forum groups, participate in discussions, and search across various help content, forum discussions, and community articles.Additional Resources
- Documentation: LiveRamp provides extensive documentation on using their platform, including tips for using the documentation site and specific guides on topics like uploading data and formatting file data.
- LiveRamp University: Users can access training courses on various topics through the LiveRamp Community portal.
- Help Articles: You can search for help articles within the Community portal or on the appropriate help documentation site to find quick answers to common questions.
Non-Technical Support
For non-technical requests, such as discussing business objectives, contract terms, or privacy reviews, users should contact their Account Director directly via email.Important Notes
- End Clients: If you are an end client purchasing LiveRamp services through a reseller platform, you do not have access to the LiveRamp Community portal. Instead, contact your reseller platform for technical issues or questions.
DataFleets (LiveRamp) - Pros and Cons
Advantages
Privacy-Preserving Technology
DataFleets’ federated learning technology allows for the analysis of data across different silos and borders without compromising privacy or security. This means that proprietary data can be made available for analytics without the need to move the data, ensuring it remains private and useful.Extended Global Connectivity
The acquisition enhances LiveRamp’s ability to connect data sets that were previously siloed by infrastructure, industry, or geography. This extended connectivity enables deeper collaborations across various data sets, facilitating global data collaboration.Total Control and Flexibility
LiveRamp customers maintain continuous control over their data while collaborating. The platform offers flexible options for distributed data collaboration, allowing customers to choose the right approach and level of data protection to meet their business needs.Compliance with Privacy Regulations
DataFleets helps LiveRamp’s products adapt to various jurisdictions with privacy built into their infrastructure layers. This ensures that customers can comply with evolving privacy regulations around the world.Disadvantages
Management Complexity
Federated systems, like those enabled by DataFleets, can be complex to manage. Each data source may have its own governance policies, data formats, and update schedules, making it challenging to maintain consistency and enforce policies uniformly.Performance Issues
The distributed nature of federated systems can lead to slower query responses and data retrieval times, especially when aggregating large volumes of data from multiple sources. Network latency and performance variations across nodes can exacerbate these issues.Data Inconsistency
Data from various sources in a federated system can have different update schedules and formats, leading to data inconsistency. This can result in inaccurate data analysis and unreliable business insights if not properly managed.High Costs
The initial setup and ongoing maintenance of federated systems can be expensive. This includes integrating disparate systems, customizing tools, training staff, and managing security and performance, all of which add to operational expenses. By weighing these advantages and disadvantages, organizations can make informed decisions about whether the integration of DataFleets into LiveRamp aligns with their data strategy and operational needs. DataFleets (LiveRamp) - Comparison with Competitors
When Comparing DataFleets with Other AI-Driven Privacy Tools
When comparing DataFleets, now integrated into LiveRamp, with other products in the AI-driven privacy tools category, several key features and alternatives stand out.
Unique Features of DataFleets (LiveRamp)
- Privacy-Preserving Technology: DataFleets allows for analytics and collaboration across distributed data sets without moving the raw data beyond an enterprise’s firewall. This is achieved through privacy-preserving algorithms and federated learning technology, enabling secure data collaboration across different silos and borders.
- Extended Global Connectivity: The technology facilitates deeper connections across data sets that were previously siloed by infrastructure, industry, or geography. This is particularly useful in highly regulated industries such as healthcare and financial services.
- Total Control and Compliance: LiveRamp’s Safe Haven platform, enhanced by DataFleets, ensures that customers maintain continuous control over their data while collaborating. It also helps comply with evolving privacy regulations globally.
Potential Alternatives
Decentriq
Decentriq is another player in secure data collaboration and analytics. It offers a platform that enables organizations to analyze and collaborate on first-party and third-party data securely. Decentriq’s focus on secure multi-party computation and differential privacy makes it a strong alternative for companies needing to protect sensitive data during collaborative analytics.
Securiti AI
Securiti AI provides a comprehensive privacy and security management platform. It excels in automating compliance tasks such as data subject access requests (DSARs) and consent management. Securiti AI also offers AI-powered risk assessments, consent management tools, and zero-trust access controls, making it a strong competitor in the data privacy management space.
DataGrail
DataGrail is a data privacy management platform that offers real-time data mapping, automated DSR management, and privacy risk assessments. It integrates seamlessly with third-party tools and supports AI-powered data discovery and zero-trust access controls. DataGrail is a good alternative for organizations looking to streamline compliance with privacy regulations across hybrid and multi-cloud environments.
Protecto
Protecto is an AI-driven data privacy platform that specializes in detecting and masking sensitive information such as PII, PHI, and PCI. It ensures compliance with regulations like GDPR, HIPAA, and CCPA. While Protecto is more focused on AI applications and data masking, it can be a viable option for companies prioritizing AI security and compliance.
Key Differences
- Data Movement: Unlike many other tools, DataFleets does not require the movement of raw data beyond the enterprise’s firewall, which is a significant advantage in terms of security and compliance.
- Federated Learning: DataFleets’ use of federated learning technology allows for analytics across distributed data sets without aggregating the data in one location, which is unique compared to some of its competitors.
- Comprehensive Suite: While Securiti AI and DataGrail offer comprehensive suites for privacy and security management, DataFleets’ integration into LiveRamp’s Safe Haven platform provides a specialized solution for secure data collaboration and analytics, particularly in highly regulated industries.
Each of these alternatives has its own strengths and can be chosen based on the specific needs of the organization, such as the type of data being handled, the level of compliance required, and the complexity of the data environment.
DataFleets (LiveRamp) - Frequently Asked Questions
What is DataFleets and how does it integrate with LiveRamp?
DataFleets is a cloud data platform that enables the unification of data silos without moving the data or compromising privacy. LiveRamp acquired DataFleets to enhance its data protection capabilities and expand its Safe Haven platform. This integration allows for greater data access and control, and it supports new use cases and markets for distributed data collaboration.How does DataFleets handle data privacy and security?
DataFleets uses federated learning technology to analyze data across different silos and borders without moving the raw data beyond an enterprise’s firewall. This approach ensures that private data remains useful while keeping it private. The technology supports privacy-preserving algorithms, allowing for secure data collaboration and analytics without compromising security or privacy.What are the key benefits of using DataFleets within LiveRamp’s Safe Haven?
The integration of DataFleets into Safe Haven provides several key benefits:Unlocking Data Access
Proprietary data is available for analytics without requiring the movement of data.Privacy-Preserving Technology
Identity resolution and collaboration workflows are supported without compromising privacy or security.Extended, Global Connectivity
Deeper connections are enabled across data sets formerly siloed by infrastructures, industries, and geographies.Total Control
Customers keep continuous control over their data while collaborating and can choose the right approach and level of data protection to meet their business needs.How does DataFleets facilitate data collaboration across different industries?
DataFleets allows companies to collaborate on data analytics without moving the data, which is particularly beneficial in highly regulated industries such as healthcare and financial services. This technology acts as a middleman, enabling companies like retailers and CPG firms to perform analytics and measurements on their first-party data without having to share or move the data.What kind of data can be accessed and analyzed using DataFleets?
With DataFleets, various types of data can be accessed and analyzed, including first-party data, TV viewership data, CPG purchase data, and more. For example, retailers can share SKU-level data and shopper behavior data, while publishers can share event-level exposure data and viewership data at the household level.How does LiveRamp manage consent and opt-outs with DataFleets?
LiveRamp ensures that consumer opt-outs are respected by integrating them into their Data Stewardship API or portal via Connect. If a company provides an offline opt-out list, LiveRamp will ensure these consumers are no longer matched downstream. It is the responsibility of the downstream partner to honor these opt-outs.What are the implications of DataFleets for global data regulations?
DataFleets helps LiveRamp’s products and solutions adapt across jurisdictions with privacy designed into their infrastructure layers. This enables customers to comply with evolving privacy regulations around the world, such as CCPA and GDPR, by ensuring data can be analyzed and shared in a compliant manner without moving it across borders.How does the DataFleets technology support different personas and roles within an organization?
The UI for accessing data through BigQuery is identical for different personas, but the permissions vary. For example, a data scientist has read and write access to more datasets, while a data analyst only has access to aggregated data in the reporting dataset. This ensures that each role has the appropriate level of access to perform their tasks securely.Can DataFleets be configured based on specific business needs?
Yes, the DataFleets product suite can be configured based on specific business needs. The tools allow for flexible options in distributed data collaboration, enabling companies to set up the system in a way that meets their unique requirements and compliance needs.How does LiveRamp protect data during the processing and storage phases with DataFleets?
LiveRamp protects data at every step of the process. Data is encrypted before being sent to the LiveRamp SFTP server, and it passes through firewalls before being mirrored into the LiveRamp processing environment. The data on the SFTP server is securely deleted to NIST standards within 48 hours. Additionally, data is pseudonymized, matched, and activated within a secure environment. DataFleets (LiveRamp) - Conclusion and Recommendation
Final Assessment of DataFleets (LiveRamp) in the Privacy Tools AI-Driven Product Category
DataFleets, now part of LiveRamp, offers a significant advancement in privacy-preserving data collaboration and analytics. Here’s a detailed assessment of who would benefit most from using this technology and an overall recommendation.Key Benefits
- Privacy-Preserving Technology: DataFleets’ technology allows businesses to merge and analyze data without moving raw data beyond an enterprise’s firewall, ensuring that private data remains useful and secure. This is particularly valuable in highly regulated industries such as healthcare and financial services.
- Unified Data Silos: The platform unifies distributed data for collaboration and analytics, eliminating the need to centralize data. This makes it possible to analyze data across different silos and borders as if it were all aggregated in one location.
- Global Connectivity: DataFleets enhances LiveRamp’s ability to connect data sets across different infrastructures, industries, and geographies, facilitating global data collaboration while complying with various privacy regulations.
- Total Control: Users maintain continuous control over their data, choosing the right approach and level of data protection to meet their specific business needs.
Who Would Benefit Most
- Enterprises with Distributed Data: Companies with data spread across multiple silos, whether due to geographical or infrastructural reasons, can greatly benefit from DataFleets. This includes large corporations and organizations in sectors like retail, CPG, healthcare, and financial services.
- Data Scientists and Analysts: DataFleets enables data scientists to collaborate safely and compliantly on confidential and private data, which is crucial for conducting detailed analytics without compromising data security.
- Regulated Industries: Businesses in highly regulated sectors can use DataFleets to ensure compliance with evolving privacy regulations while still leveraging their data for insights and growth.
Overall Recommendation
DataFleets, integrated into LiveRamp’s platform, is a strong choice for any organization looking to enhance its data protection capabilities while maintaining the ability to analyze and collaborate on data securely. Here are some key points to consider:- Security and Compliance: If your organization is bound by strict data privacy regulations, DataFleets offers a solution that keeps your data secure and compliant.
- Data Collaboration: For companies needing to collaborate on data across different silos or borders, DataFleets provides a seamless and secure way to do so.
- Flexibility and Control: The platform offers flexible data protection tools that can be configured based on specific business needs, giving users total control over their data.