Data & Microsoft Fabric
Transform your data landscape with Microsoft Fabric solutions. We help you build modern data platforms that enable real-time analytics and AI-driven insights.
We are a consultancy specialising in data solutions, AI implementation, cloud migration, and security services. Transform your business with our expert guidance and cutting-edge technology solutions.
We offer comprehensive consulting services to help your business thrive in the digital age
Transform your data landscape with Microsoft Fabric solutions. We help you build modern data platforms that enable real-time analytics and AI-driven insights.
Harness the power of AI to drive innovation and efficiency. From machine learning models to intelligent automation, we deliver AI solutions that create real business value.
Accelerate your digital transformation through seamless cloud migration and modernization — we secure, scale, optimize, and innovate your cloud journey.
Protect your digital assets with comprehensive security solutions. We provide end-to-end security consulting to safeguard your business in the digital age.
At Ocora, we combine deep technical expertise and partnerships, with strategic business insight to deliver transformational results. Our team of certified consultants and trusted partners brings years of experience across data, AI, cloud, and security domains.
Certified specialists and trusted partners working together with proven delivery experience
Custom approaches designed for your unique needs
Measurable results delivered through trusted partnerships that drive real business value
Real-world outcomes delivered by Ocora.
Implemented a unified data platform on Microsoft Fabric to enable customer churn modelling and provide a scalable foundation for future AI and advanced analytics use cases.
Challenge: Data was fragmented across multiple silos, limiting data quality, governance, and the organisation’s ability to perform reliable analytics or develop predictive models and AI use cases.
Approach: Rationalised the existing data model to remove redundancy and improve consistency. Re-ingested trusted, validated data sources into Microsoft Fabric. Rebuilt data pipelines using a Medallion architecture (Bronze, Silver, Gold). Established clear data lineage, governance, and documentation throughout the platform.
Outcome: Delivered a Fabric-native, governed data architecture with a clean semantic model and OneLake connectivity, enabling reliable churn analysis today and providing a robust, AI-ready foundation for future advanced analytics initiatives.
Delivered a cloud-native solution using RAG and semantic search on Microsoft Azure to modernise a legacy matching engine and improve accuracy and scalability.
Challenge: A legacy, on-premises matching solution struggled with noisy, multilingual data, limited scalability, and heavy manual intervention, slowing operations and hindering cloud transformation.
Approach: Implemented an Azure-based RAG architecture with semantic indexing and vector search, and evaluated AI-driven matching against the existing search baseline.
Outcome: Demonstrated more accurate and explainable matching with reduced manual effort, validating a scalable, AI-ready architecture for future production use.
Delivered a FinOps optimisation initiative to automatically reduce cloud spend and improve financial governance without impacting performance or engineering velocity.
Challenge: A growing ISV faced rising cloud costs driven by dynamic workloads and manual reservation management, with limited visibility into savings opportunities and inconsistent cost accountability across teams.
Approach: Implemented tooling to automate commitment-based discounts, continuously optimise Reserved Instances and Savings Plans, and provide real-time FinOps insights aligned to engineering and finance stakeholders.
Outcome: Achieved sustained cloud cost savings, improved forecast accuracy, and established a scalable FinOps operating model—allowing teams to focus on innovation while the tooling handled optimisation in the background.
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