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Leveraging the Power of Data
Simplify data access, management, and analysis through our innovative microservices and cloud-based technology.
We provide reliable, ready-to-analyze data to support efficient decision-making.
Stealth® Data Services: Data-Driven Solution for the Fashion Industry
Stealth® Data Services is designed to help fashion companies access reliable, analysis-ready data, enabling more informed decision-making based on concrete insights. Using standardized communication protocols, the solution ensures high interoperability, making integrating with other services, applications, and systems easy.
Our brand-new solution allows the unification and integration of various data sources, providing a consistent and comprehensive view. The platform automates data flow and processing, minimizing manual intervention and enhancing operational efficiency. Additionally, it continuously monitors business processes, enabling quick and timely responses to any issues.
Beyond optimizing existing processes, Stealth® Data Services paves the way for new opportunities by leveraging advanced technologies like Artificial Intelligence and Machine Learning. By maximizing the potential of data, we empower companies to innovate and develop processes that meet the demands of an ever-evolving market.
Primary Features of Stealth® Data Services
Data Ingestion & Storage
Ability to Capture Data from Multiple Sources: Seamlessly acquire data from various sources, both internal and external, structured or unstructured. This includes batch processing, real-time streaming, APIs, and other data capture methods.
Secure and Scalable Storage for Structured and Unstructured Data: Designed to handle data from relational databases, data lakes, and data warehouses, ensuring both security and scalability.
Data Processing, Integration & Governance
Data Processing and Transformation Capabilities: Transform data into analysis-ready formats through processes like ETL (Extract, Transform, Load), data cleaning, normalization, aggregation, and other transformation methods.
Data Integration from Multiple Sources for a Unified View: Combine data from diverse sources to create a consistent, unified view. This often involves aligning heterogeneous data through matching, deduplication, and semantic integration processes.
Data Quality, Security, Privacy, and Compliance Management: Ensure robust data governance through policy definition, enforcement of data quality standards, access management, and regulatory compliance (e.g., GDPR).
Data Security, Access Control & Alerting
Implementation of Security Measures to Protect Data: Safeguard data against unauthorized access while ensuring appropriate access for authorized users. This includes encryption, authentication, authorization, and auditing.
Ability to Monitor Data Flows and Quality: Track data flows and ensure data quality throughout the pipeline.
Data Analytics & Reporting
Providing Tools and Features for Data Analysis and Reporting: Enable data analysis and reporting with integration into business intelligence (BI) tools, dashboards, and advanced reporting systems.
