BUILDING A DATA-DRIVEN
APPROACH
“Data is the new oil” is a mantra that defines nearly all digital transformation processes today.However, awareness alone is not enough to make effective use of information assets.
Many organizations struggle to integrate enterprise information assets into application and business workflows, leading to quality preservation challenges and cost inefficiencies.
Often, inefficient and poorly inclusive processes prevent companies from truly adopting a data-driven approach.
OUR
DATA SOLUTION & AI SERVICES
We guide each customer on a journey to enhance their information assets. Data quality and artificial intelligence are closely related: reliable AI algorithm results require high-quality data.
We offer customized, bias-free, vendor-independent advice because each context is unique and has specific needs.
We support organizations with enterprise knowledge management and semantic data integration and offer mentoring.
We leverage the synergy of the three main elements of digital transformation: people, processes and tools.
To implement a data strategy, we focus on the culture, quality and availability of data at the enterprise level by enhancing data governance.
We build effective, high-quality processes that enable every single organization to fully embrace the data-driven paradigm in business decisions.
We optimize or modernize the platforms, tools and architectures in use, ensuring speed and reliability.
We tackle the challenges of artificial intelligence and support governance processes, managing the data and model lifecycle with modern, structured approaches. Data and information are the raw materials we use to create innovative services and improve business outcomes.
✓ Assessment, Gap Analysis and Evolutionary Roadmaps
✓ Design/Evolution of Data and AI Platforms
✓ Cloud Adoption/Exit/Data Migration Strategies
✓ Definition of the Data Lifecycle and AI Models (MLOps and DataOps)
✓ Lifecycle Development and Process Guidelines
✓ Development, Industrialization and Introduction of AI in Critical Processes
✓ Development of Integrations and Components for Data Processing
✓ Enterprise Knowledge Management, and Ontological and Semantic Modelling
✓ Logical Data Modelling
✓ Supporting Data and AI Governance Processes
OUR MAIN GOALS
Reduce data acquisition time with real time paradigms
Implement effective processes for testing and applying AI models
Make data strategy cost-efficient
Bridge the gap between business and IT
Solve performance issues in data streams
Turn data into a governed product
Optimize processes for integrating data sources
Ensure effective, robust governance processes in response to regulatory changes
Enable data-driven business processes with data access and analytics
OUR
DATA SOLUTION & AI SERVICES
Architecture and Design
We design platforms and architectures to handle large volumes of data and integrate artificial intelligence services.
Lifecycle and Operation
We manage the data lifecycle from integration to consumption and design the lifecycle of AI models from prototyping to launch.
Development and Integration
We design and develop software components and strategic integrations for data processing and artificial intelligence.
Information Design & Governance
We offer support in data & AI governance, data modelling and enterprise knowledge organization.
