Data Engineering, Management & Analytics

End-to-End Partner – from data integration to the operation of modern data platforms

Data only unfold their value through structure and context

We create resilient data landscapes for analysis, control, and innovation.

In many organizations, data is scattered across numerous systems, formats, and responsibilities. Lack of integration, unclear data quality, and insufficient transparency make evaluations and decisions difficult.

We are creating a stable data foundation: integrated data streams, understandable governance structures, and scalable data platforms. This makes data reliably usable for reporting, analysis, and data-driven business models.

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Data Platforms & Architecture

Scalable platforms for modern data requirements.

Lakehouse

Data Warehouse

Data Mesh

Databricks

We design and implement modern data platforms – from classic data warehouses to Lakehouse and Data Mesh architectures. Platforms are built to be scalable, performant, and future-proof.

Data Integration & Virtualization

Central data access via integrated and virtual data sources.

ETL

Streaming

Centers for Disease Control and Prevention

DataOps

We integrate data from different source systems and provide it consistently for downstream applications. Through classical ETL, streaming, and data virtualization, we create flexible access models without unnecessary data copies.

IT security expert analyzes code on a screen while colleagues discuss cybersecurity strategies in the background. Multiple monitors with code and security analysis are visible.
Laptop with an open e-commerce web application. An online clothing store is displayed in the browser as a person uses the laptop.

Data Management & Governance

Fixed structures, high data quality, and transparent responsibilities.

Mobile Device Management

Data Quality

Data Lineage

Data Catalog

We are establishing sustainable data management and governance structures. This includes data quality concepts, semantic models, data lineage, and responsibilities. This creates trustworthy data as the basis for analyses and regulatory requirements.

Practical Guide to Data Quality in Retail

11 Proven Ways to Avoid Duplicates, Outdated Data, and Data Silos, and Make Better Decisions.

Analysis, BI & Visualization

Transparent evaluations and decision-relevant key figures.

KPI Dashboards

Self-Service BI

Embedded Analytics

We develop analysis and BI solutions that make data understandable and usable. From management dashboards to self-service analytics, we create reports that enable informed decisions.

IT security expert analyzes code on a screen while colleagues discuss cybersecurity strategies in the background. Multiple monitors with code and security analysis are visible.
Laptop with an open e-commerce web application. An online clothing store is displayed in the browser as a person uses the laptop.

Data Products & Analytics Use Cases

Use data for professional added value.

Data Products

Use Cases

Predictive Analytics

We develop data-driven use cases and data products that are oriented towards business value. Analyses are specifically aligned with business questions and deliver measurable added value.

Training, test, and simulation data

Robust data foundations for the development, integration, and quality assurance of data platforms.

KPI Dashboards

Self-Service BI

Embedded Analytics

We provide structured training, testing, and simulation data for the development and validation of modern data platforms. This includes data preparation, generation of realistic datasets, and simulation of near-production scenarios. This allows data pipelines, integrations, and analysis processes to be reliably tested, validated, and further developed independently of production operations.

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Our Data Success Stories

Additional Services

Discover Our Industries

Portrait of Alexander Baumgartner

Thinking about optimizing your IT? Contact us now!

Roland Simonis
Senior Consultant

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