Cloud, SAP and AI transformation — delivered from London, Geneva, Vilnius and Paris

Transform Data Into Actionable Intelligence

Data Science & Analytics

ReImagine helps organisations turn data into practical business insight. We bring together data engineering, governance, SAP analytics and machine learning to support reporting, forecasting and automation.

Our teams in London, Geneva, Vilnius and Paris design solutions around your industry, existing systems and business priorities, using SAP and cloud platforms across AWS, Google Cloud and Microsoft Azure.

SAP Analytics Cloud (SAC) Solutions

We deliver interactive dashboards, KPI tracking, and predictive analytics using SAP SAC — integrated with SAP S/4HANA and external data sources. Our SAC services cover planning, forecasting, and visualisation tools tailored to your business functions (Finance, HR, Supply Chain). We enable real-time analytics with embedded AI/ML models and custom storyboards for C-level reporting. Our SAC solutions support financial planning, risk management, and sales performance optimisation across complex enterprise environments.

Machine Learning & Predictive Analytics

We design and deploy ML pipelines across AWS SageMaker, GCP Vertex AI, and Azure ML. Our predictive analytics services help enterprises:

Forecast demand
Optimise supply chains
Detect fraud & anomalies
Predict customer behaviour
Enable personalised marketing

We implement MLOps frameworks for continuous model improvement, data drift monitoring, and automated re-training. Our data scientists fine-tune algorithms using TensorFlow, PyTorch, and scikit-learn for maximum accuracy and performance.

SAP Datasphere Implementation Services

SAP Datasphere is your foundation for an integrated data strategy. We help enterprises unify structured (SAP S/4HANA, SAP BW) and unstructured data sources (IoT, logs, 3rd party systems) for real-time insights. Our services include data modelling, metadata management, real-time data pipelines, and industry-specific business layers. We design SAP Datasphere architectures to support financial reporting, operational analytics, and regulatory compliance (GDPR, DORA). Integration with Data Lakehouse architectures across AWS, GCP, and Azure enables holistic visibility and AI-powered insights.

Enterprise Data Engineering & Governance

We architect secure, scalable, and compliant data platforms. Our services include:

Data Lake & Data Warehouse Design
ETL/ELT Pipelines (Glue, Dataflow, Synapse)
Data Quality Management
Data Privacy & Compliance (GDPR, HIPAA)
Data Cataloguing & Lineage

We enable real-time streaming architectures with Kafka, AWS Kinesis, and GCP Pub/Sub for event-driven analytics. Our governance frameworks ensure transparency, traceability, and compliance — critical for banking, pharma, and retail sectors.