Data solutions – from raw data to strategic advantage

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Are you harnessing the full potential of your data?

Or are your business decisions still based on intuition and retrospective reports?

Digital transformation is accelerating, yet the data architecture of many companies remains incomplete. Data accumulates in fragmented silos, its quality fluctuates, governance is unclear, and the ability to translate data into strategic decision-making is limited. The result is reduced adaptability, low ROI on IT investments, and a limited capacity for innovation.


Most common challenges

  • Lack of real-time analytics and streaming layers limits a company’s responsiveness
  • Weak data integrity complicates personalization, automation, and security audits
  • Insufficient data governance creates operational risks and compliance burdens
  • Inefficient use of data teams – most capacity is allocated to ETL and operational reporting
  • Missing AI/ML-ready architecture prevents deployment of predictive scenarios in real operations

Key pillars of our data solutions

Data-driven decisioning in real time

  • We transform data into actionable business insights through advanced streaming processing and self-service dashboards.
  • These provide up-to-date metrics for managers and operational teams, enabling immediate responses to market or customer behavior changes.

Revenue optimization and risk management with AI

  • We deploy advanced machine learning algorithms for dynamic scoring, risk-based pricing, and predictive margin management.
  • Real-time models connect internal transactional and operational data with external macro- and microeconomic signals.
  • As a result, portfolio profitability increases while risk indicators remain under control.

Reducing operational and reputational risks

  • Fraudulent behavior is detected within milliseconds using behavioral analytics and neural networks.
  • Key data is secured through robust end-to-end encryption, with multi-layered control mechanisms fully aligned with GDPR, ISO 27005, and internal risk management policies.

FinOps and TCO optimization

  • By combining cloud-native architecture, automated scaling, and detailed consumption monitoring (FinOps approach), we minimize data infrastructure costs.
  • Systematic tagging and capacity reservations are introduced, while ROI is continuously evaluated across workloads.

Data governance and compliance readiness

  • We implement comprehensive data management policies, including RACI matrices, centralized data catalogs, and detailed role-based access control principles.
  • All processes are enhanced with automated quality validation, complete audit trails, and SLAs covering both operations and recovery — ensuring constant readiness for internal and external audits and regulatory reviews.

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How we implement data solutions

1

Discovery and assessment

Facilitated workshops and data profiling deliver an in-depth analysis of data quality, origin, and relevance.

The outcome is a heatmap of opportunities, technical debt, and compliance risks.

2

Architecture design and roadmap

We design the target architecture (Lakehouse, Lambda/Kappa, Data Mesh, API-driven integrations).

An iterative change roadmap is developed, including budgetary and performance parameters.

3

Build and orchestration

We implement data pipelines using modern technologies such as Azure Synapse, Kafka, Flink, Terraform, and others.

Monitoring, CI/CD deployment, and operational management are ensured.

4

AI enablement and business adoption

We design and implement concrete use cases (fraud detection, predictive maintenance, customer insights).

Simultaneously, we develop internal team competencies in DataOps and MLOps.

5

Continuous data value optimization

Based on KPIs, we iteratively increase the business impact of data solutions.

New scenarios are validated, and business teams are actively involved in the evolution of the data architecture.

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Typical areas of our data solutions

Typical areas of our data solutions

Data strategy and governance

Every data solution begins with a clearly defined strategy and strong data governance.

We establish unified terminology, define roles and responsibilities (RACI), set quality policies, and build data catalogs.

The result is a transparent and controlled environment that eliminates duplication, ensures consistency across systems, and maintains regulatory compliance.

Modern data platforms

We design and implement modern platform architectures such as Lakehouse, Data Mesh, or hybrid and multi-cloud solutions.

We apply Infrastructure-as-Code approaches that enable rapid environment replication, full change auditability, and scalability according to organizational needs.

These platforms form the backbone for AI operations, real-time analytics, and historical reporting.

Real-time analytics and artificial intelligence

We deploy streaming architectures for real-time decision-making, allowing anomalies, fraud, or operational incidents to be detected before they affect business operations.

Advanced AI/ML models are used for demand forecasting, next-best-action recommendations, or predictive maintenance in industrial environments.

The result is instant response to events, bringing measurable business outcomes.

Operational intelligence and process analytics

We transform operational and transactional data into predictive insights that enhance the stability and efficiency of key processes across manufacturing, logistics, and IT operations.

Using stream analytics and advanced machine learning models, we detect anomalies within milliseconds, predict equipment degradation, and optimize inventory and capacity management.

Organizations thereby eliminate unplanned downtime, reduce energy consumption and capital tied in inventory, while increasing overall equipment effectiveness and ROI on operational infrastructure.

Security-by-design and compliance readiness

We integrate “security-by-design” principles into every architecture — including data encryption, pseudonymization of sensitive information, access control management, and compliance with standards such as ISO 27001, DORA, NIS2, GDPR, and TISAX.

Our solutions ensure full audit traceability, minimize the risk of data breaches, and enhance resilience against both external and internal threats.

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