At WFS - we specialise in helping international firms navigate the complex challenges of market entry on the African continent.
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We work with organisations to accelerate digital transformation by leveraging cloud scale analytics and implement modern data estates. Our teams will help you grow and unlock invaluable data assets through scalable and resilient modern data management architectures such as Lakehouse.
Strategic roadmaps for data-driven transformation, architecture design, and governance frameworks
Multi-cloud data platforms, serverless architectures, and scalable data ecosystems
Modern data pipelines, ETL/ELT processes, data lakehouse implementation, and cloud migration
Interactive dashboards, real-time reporting, and self-service analytics platforms
Business intelligence, predictive analytics, machine learning, and AI-powered insights
Data quality, security, compliance and privacy protection frameworks
Lakehouse Implementation: Design and build unified data lakehouse architectures combining the best of data lakes and data warehouses. Expertise in Delta Lake, Apache Iceberg, and Apache Hudi for ACID transactions and data versioning.
Automated Workflows: Implement CI/CD for data pipelines, automated testing, data quality monitoring, and orchestration using modern DataOps practices and tools.
Streaming Analytics: Build real-time data pipelines using Apache Kafka, Spark Streaming, and cloud-native streaming services. Enable real-time decision making with low-latency data processing.
Democratised Data: Build self-service platforms enabling business users to create their own reports and analytics while maintaining governance and data quality standards.
MLOps Excellence: Implement end-to-end machine learning pipelines with automated training, deployment, and monitoring. Expertise in TensorFlow, PyTorch, Scikit-learn, and cloud ML services.
Enterprise Grade: Implement comprehensive data security, privacy protection (GDPR, CCPA), and compliance frameworks with robust access controls and audit trails.