data & ai
Data & AI focuses on creating a robust, scalable, and secure data infrastructure that lays the foundation for intelligent business decisions. From customized cloud data platforms to efficient data migration management, everything is focused on turning data into actionable insights. A special focus is on Data Architecture, which includes data security and agile data models. Likewise, the benefits of self-service BI for organizational development will be highlighted. In artificial intelligence, the focus is on integrating technical and business models that enable the use of AI in various business areas. The requirements of analytics, and traditional and generative AI determine the architecture and lifecycle management of current and future data landscapes.
Snowflake, Databricks, Azure Fabric, Power BI
- End-to-end data journey: coverage of the entire data lifecycle
- Snowflake Elite Partner (highest level worldwide)
- Databricks Elite Partner (highest level worldwide)
- Microsoft Solution Partner (formerly "Gold Partner")
- Microsoft Azure Fabric & Power BI
- "AI and Machine Learning on Microsoft Azure" specialization
- "Analytics on Microsoft Azure" specialization
SAP Integration
- Seamless SAP integration of SAP data (BW and ERP data (such as R/3 & S/4 Hana)) in non-SAP environments
- Use of official SAP interfaces that guarantee the security and reliability of data transfer without needing to customize the source systems
- High-performance, flexible and simple use of SAP data for various analysis, reporting and automation purposes
- High frequency, high volume, close to real time, reliable
- Third-party integration tools (Theobald, Azure Data Factory, Fivetran)
- SAP BODS, SAP Landscape Transformation Replication Server (SLT)
- SAP Datasphere as an integration tool
- In-depth understanding of data models of various SAP modules such as SAP PM, SAP MM, SAP FICO as well as comprehensive expertise in SAP BW
- Metadata-driven integration frameworks
Data Lake, Data Mesh, Data Platforms
- Implementation of modern, scalable data platforms
- Design and implementation of state-of-the-art data management concepts such as Lakehouse, Data Warehouse, Data Lake, Data Mesh, Data Clean Room, Customer Data Platform
- Implementation of data security and data governance concepts
- Development of data catalogs (central repositories) including cross-system authorization management (Databricks Unity Catalog, Snowflake Polaris and Horizon, Microsoft Purview)
- Implementation of internal and external data sharing and collaboration concepts
Legacy DWH Migration
- 7+ years of experience in the migration of legacy data warehouse systems to the cloud
- Holistic consulting, project support and project implementation
- Implementation of standardized migration readiness assessments in preparation for migrations
- Lift&Shift+ from Oracle, Exasol, Teradata and others
- Migration and rebalancing of SAP BW systems
- Migration of analytical SAP HANA implementations
AI & Machine Learning
- Enhancement of digital experience through GenAI, data architecture for the support of AI, integration of leading large language models (LLM) such as OpenAI and Llama
- Integration of GenAI applications into individual processes and the existing IT landscape
- GPT and enterprise search
- Development of forecasting models, root-cause analytics (RCA), churn prediction, shopping basket analysis, fraud detection, next-best-action models
- Automation of the ML/AI life cycle (MLOps)
- Technologies: Databricks, Snowpark, Microsoft Azure AI Services, OpenAI
More r°evolution?
Of course there is much more! You’re very welcome to take a look at what else we have r°evolutionized:
mindfeed
Insights into a future-proof transformation start on our blog. Find out how we help you stay one step ahead. Welcome to the world of the digital revolution.
Clara Bechler
Ulf Ackermann
André Paul HenkelPartners
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