Data Governance
By combining metadata and data in real-time, data governance is implemented in a comprehensive data management framework for sustainble success.
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How we achieve data security and transparency
By combining metadata and data in real-time, data governance is implemented in a comprehensive data management framework for sustainble success.
Data Mesh is a new socio-technical data management paradigm which challenges the traditional monolithic data architectures.
Logical Data Warehouse enables most analytical use cases through integration of real-time and historical data from various sources using SQL.
Organizations highly depend on trusted data to provide great customer experience. Start with customer data integration for a customer 360 view.
Data fabric allows to accelerate and enable more business use cases through metadata, automation, and orchestration.
Data management capabilities incl. Integration, governance, and MDM are a crucial part of any hybrid- and multi-cloud architecture initiative.
A semantic layer provides central access to data and the business logic for self-service BI and data science in a secured and governed manner.
A central data access layer to cleansed, enriched, and governed data for all data consumers.
A data platform gives healthcare providers the transparency and automation needed to improve operational processes such as patient flow.
The business needs of retailers and E-Commerces for complete and clean data that can be trusted are versatile: customer 360, lean inventory, etc.
Modern data architectures help financial services to meet the increasing requirements driven by digitalization and regulation.
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Our mission is to enable businesses to leverage the full potential of their data by providing a single source of truth platform to connect and manage all data.