Data Platform: The foundation for Analytics and AI lies in your data.
Before AI can create value, data must be reliable, accessible, and integrated. We help you build that foundation.
Your Path to a Data-Driven Organization
BIG.Cube supports companies through three consecutive steps—from the technical foundation to productive AI deployment.
Stage 1
Data Platform
Reliable, integrated data foundation as the basis for analytics and AI.
Stage 2
Analytics Strategy
Reports, dashboards, and self-service for all business areas. From embedded analytics for operational reporting and integrated planning to usage in AI applications.
Stage 3
AI Readiness & Reliable AI
Reliable AI applications based on high-quality data.
Without a Data Strategy, AI Potential Remains Untapped
AI initiatives often fail not because of technology, but due to poor data quality, data silos, and a lack of governance. A modern data platform is therefore not an IT project, but a strategic investment.
Break down data silos
Break down data silos
SAP ERP, CRM, and external sources—modern platforms integrate all data streams into a unified layer.
Real-time instead of batch
Real-time instead of batch
Decisions require up-to-date data. Modern platforms deliver near real-time insights—no more overnight batch processing.
Trust in the data
Trust in the data
Data quality and governance are the prerequisites for ensuring that analytics and AI models deliver reliable results.
Scalable for the future
Scalable for the future
A well-architected platform grows with you. New data sources, users, and AI applications can be integrated seamlessly.
Start Your Data Platform Journey Now
Discover in our references how we have successfully supported companies on this journey.
Core Characteristics of a Future-Proof Data Platform
The technology landscape has fundamentally changed. Cloud-native platforms combine data storage, transformation, and delivery into an integrated stack.
All sources – ERP, CRM, IoT, and external APIs – are consolidated into a central, consistent data model.
Automated quality checks, data lineage tracking, and clear ownership ensure reliability and compliance.
Prepared data layers enable business users to perform analyses independently – without relying on IT tickets.
Compute and storage scale dynamically – only what is used is processed. Ideal for growing data volumes.
Curated datasets and feature pipelines enable AI models to be trained on reliable, up-to-date data.
Monitoring of data pipelines, quality metrics, and anomaly detection in real time—issues are identified early.
Companies are faced with the challenge of having to provide ever faster answers from more and more data. We are experts in this.
Specialized Expertise for SAP Environments
Our Expertise:
Many companies run their core operations on SAP, but SAP data is complex: proprietary data models, technical table structures, and tightly controlled authorization concepts. BIG.Cube understands this environment and builds extraction layers and semantic models that make SAP data truly usable for analytics and AI – leveraging SAP Business Data Cloud or modern platform solutions such as Databricks, Snowflake, Microsoft Fabric, or Google BigQuery.
Our Offering:
We support you from strategy to a productive platform. With a clear focus on reliable data and the next step toward analytics and AI.
Data Architecture and Platform Strategy
We analyze your existing data landscape and design a target architecture aligned with your IT strategy, SAP footprint, and growth plans.
Integration of SAP and Non-SAP Data
We build robust, low-maintenance pipelines for your data sources. High-performance, delta-enabled, and auditable.
Semantic Data Modeling
Transformation of technical tables into business-friendly models. The foundation for self-service and AI applications.
Establishment of Governance Structures
We establish processes and tooling for data catalogs, data quality, ownership, and lineage – so your data is not only available, but trustworthy.
Ready for the First Step?
In a free initial consultation, we analyze your current data landscape and identify where the greatest impact lies.
Get In Touch With Us Now