Advanced Analytics
where data meets decision
From Vision to Value
Orientation frame
Vision defines why, Mission guides what, The Platform delivers how.
- Influences: Early ideation, innovation triggers, market signals
- Why: Build a consistent enterprise architecture for data, analytics, AI & automation
- What: Strategy consulting via focused in-house D&A Value Journey workshops
- How: Define data strategy, architecture & governance to align business and IT
- Influences: Digital transformation, vendor neutrality, user-centric design, demand for agile data ecosystems
- Why: Provide a holistic, vendor-neutral approach supporting your data-driven transition
- What: Solution design delivering tailored architecture with Lakehouse and Business Data Cloud aligned to use cases
- How: Design intuitive interfaces and enhance collaboration via data products, catalogs, and modern BI tools
- Influences: Evolving data needs, integration complexity, demand for scalable platforms, IT–business alignment
- Why: Design and optimize elastic architectures and align LoB and IT roadmaps
- What: Implement fast-track value through prototyping and integration of predictive data solutions
- How: Build flexible Data Warehousing and Lakehouse platforms for real-time & historical insight
- Influences: Talent gaps, AI adoption pressure, organizational resistance to change, need for enablement
- Why: Provide guidance through experience, best practices, and hands-on expertise
- What: Coaching & change management to drive adoption and upskill teams
- How: Empower data-driven decisions via predictive models and AI embedded in workflows
Orientation frame
Strategic Architecture Consulting
Establish a consistent enterprise architecture for data, analytics, AI, and automation.
Discovery
Strategy consulting through structured D&A Value Journey workshops to define data strategy, architecture, and governance.
- Align business objectives with IT capabilities for a future-ready foundation.
Solution Design & Ecosystem Development
Enable a vendor-neutral, user-centric transformation toward agile data ecosystems.
Definition
Enable a vendor-neutral, user-centric transformation toward agile data ecosystems.
- Drive collaboration and seamless data integration via modern BI tools, catalogs, and intuitive interfaces.
Agile Prototyping & Scalable Platforms
Optimize elastic architectures and ensure seamless alignment between IT and business strategies.
Experimentation
Implement fast-track value through predictive data prototyping and integration.
- Deliver real-time and historical insights via scalable Data Warehousing and Lakehouse solutions.
AI-Driven Enablement & Change Management
Bridge talent gaps and drive AI adoption while mitigating organizational resistance to change.
Execution
Hands-on coaching, change management, and upskilling programs to integrate predictive AI models into workflows.
- Foster data-driven decision-making through embedded AI and best practices.
Tech Foundation
Strategy
Consulting
Solution
Design
Implementation
Services
Data
Governance
Coaching
& Change
Cut through
the noise.
We create clarity with the D&A Value Journey—turning vision into action-ready roadmaps.
Build smart
from the start.
We design scalable, cloud-first architectures tailored to real business use cases.
Deliver value, fast.
From data platforms to predictive insights—we make advanced analytics work day one.
Turn clutter
into control.
We establish smart governance and data product practices for real collaboration.
Mobilize
your teams.
We drive adoption with hands-on coaching and tools that stick in daily workflows.
Reference
Retailer enhances EDW with AI/ML for smarter decision-making
- Enhancing the existing data architecture with advanced data science capabilities
- Functional, technical, and commercial evaluation of the modern data stack
- Implementing data pipelines to enable data transfer between SAP BW-on-HANA and Azure Databricks
- Developing efficient collaboration between centralized data scientists and decentralized citizen analysts in the Line of Business
Reference
Semiconductor streamlining planning with analytics apps
- Agile development of a Bill of Material (BOM) decomposition and analysis app
- Iterative feature enhancement of algorithms using Python
- Technical integration of this logic into SAP BTP
- Utilization of a Streamlit app for simulation and collaboration with business experts
- Expansion of the successful concept to additional areas with complex requirements, such as variant configuration
Reference
CPG connects processes, data, governance
- Addressing data quality challenges through MDM, data modeling, and cataloging
- Defining the organizational & governance framework to ensure strategic alignment
- Assessing the new tool stack and simulating integration patterns via prototypes
- Structuring data-driven processes and roles based on Data Product Management, supported by a Culture & Change framework
