Data Stream Manager

Data Stream Manager is a platform designed to assist businesses in configuring and managing their digital data services in a privacy-compliant manner. It caters to organizations of various sizes and is utilized by professionals in industries such as Data Protection Officers, Business Analysts, Marketing and Advertising Professionals, Compliance Officers, and IT Professionals.

Key Features

Data Processing Unit: According to the vendor, users have control over data ownership and can securely share data services using a dedicated first-party data processor.

Server-side data orchestration: The platform allows for agile privacy-compliant data orchestration, enabling the design of independent data streams, services, and products. It is said to seamlessly integrate with complex AI operations.

Securely share data: The vendor claims that sensitive data can be effortlessly shared with custom privacy settings and automated processing agreements to ensure regulatory compliance.

Take control over data quality: Real-time validation and alerting capabilities are available to help users ensure data quality. The vendor states that detailed diagnostics provide insights into data quality, and the no-code development feature allows for easy implementation.

Privacy Monitor: Routine scans for cookies and trackers, cross-checks against whitelists for compliance, and notifications for non-compliance issues are said to help maintain privacy standards.

AI hosted services: According to the vendor, this platform enables the integration of AI services into the business domain, transforming raw data into actionable insights. It is customizable and flexible to meet specific needs.

Data Quality: The vendor claims that the platform helps ensure data integrity and monitor data quality in real-time, mitigating potential bias in AI projects. The data quality inspector is said to work behind login functionalities.

Privacy & Consent Management: The vendor states that users can create trusted data sources for AI data-driven services, ensure compliance with privacy regulations, manage consent and privacy preferences, and control data distribution based on consent choices.

Compliance Monitor: The vendor claims that the platform allows users to monitor and ensure compliance with data protection regulations, provide technical and administrative compliance, generate audit reports for accountability, and control data sharing with external systems.

Data Orchestration: Users can configure and integrate any touchpoint for customer data streams, connect all on and offline touchpoints, support secured data integrations with other systems, and enable a flexible architecture for complete control of data flows, according to the vendor.