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Dive Into the New Age of Accelerated Analytics

Our Services

Cloud Analytics Modernisation

We use Fabric's Data Factory to integrate various data sources, including on-premises databases, cloud services, and other data repositories.

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We migrate existing data to Fabric's unified platform, ensuring data integrity and minimal downtime. Utilize Fabric's data orchestration capabilities to streamline the migration process.

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We create a Unified Analytics Platform by leveraging Fabric's Dataflow Gen2 to extract, load, and transform data efficiently. This allows for scalable data processing and transformation.

 

We create data pipelines using Fabric's orchestration capabilities to automate and manage data workflows.

Data Science Acceleration

Fabric offers tools for every stage of the data science process, from data discovery and pre-processing to experimentation, modelling, and deployment. This seamless integration allows data scientists to focus on analysis rather than managing multiple tools.

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Fabric includes Azure Synapse Analytics and Azure Machine Learning, enabling advanced analytics and machine learning capabilities. This allows data scientists to build and deploy models more quickly and effectively.

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Fabric facilitates collaboration by allowing data scientists to share datasets, reports, and insights with business users and analysts. ​

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With features like Microsoft Copilot, Fabric automates routine tasks, allowing data scientists to focus on more strategic activities.​

Versatility in Application

Unlock the full potential of your legacy applications with our proven expertise in application modernization. We specialize in transforming outdated systems into agile, scalable, and secure solutions that align with today’s business needs and technological advancements.

 

From re-architecting monolithic applications to leveraging cloud-native technologies, our team ensures a seamless transition with minimal disruption to your operations. By modernizing your applications, we help you improve performance, reduce costs, and enhance user experience, enabling your organization to stay competitive in a rapidly evolving digital landscape. Let us future-proof your technology to drive innovation and growth

Full Customer Experience Service

  1. Consultation and Strategy:

    • Needs Assessment: Conduct thorough assessments to understand the client's current technology landscape, business objectives, and pain points.

    • Strategic Planning: Develop a tailored technology strategy that aligns with the client's goals, including digital transformation, modernisation, and innovation roadmaps.

  2. Implementation and Integration:

    • Project Management: Oversee the implementation of technology projects from start to finish, ensuring timely delivery and adherence to budget.

    • System Integration: Integrate new technologies with the client's existing systems to ensure seamless operation and interoperability.

  3. Infrastructure Services:

    • Cloud Solutions: Offer cloud migration, management, and optimisation services using platforms like Asure, AWS, or Google Cloud.

    • Network and Security: Provide robust network infrastructure solutions and implement cybersecurity measures to protect client data and systems.

  4. Data Services:

    • Data Management: Implement data storage, backup, and recovery solutions to ensure data integrity and availability.

    • Analytics and BI: Develop and deploy data analytics and business intelligence solutions to help clients gain insights and make data-driven decisions.

  5. Software Development:

    • Custom Applications: Design and develop custom software applications tailored to the client's specific needs.

    • DevOps: Implement DevOps practices to enhance the software development lifecycle and improve efficiency.

  6. Managed Services:

    • IT Support: Provide ongoing IT support and helpdesk services to resolve technical issues and maintain system performance.

    • Monitoring and Maintenance: Continuously monitor client systems and perform regular maintenance to prevent downtime and optimise performance.

  7. Training and Support:

    • User Training: Offer training sessions and resources to help clients understand and effectively use the new technologies.

    • Technical Support: Provide 24/7 technical support to address any issues and ensure smooth operation of the client's IT environment.

  8. Innovation and Optimisation:

    • Continuous Improvement: Regularly review and optimise technology solutions to ensure they meet evolving business needs and industry standards.

    • Emerging Technologies: Stay ahead of industry trends and incorporate emerging technologies, such as AI, machine learning, and IoT, into client solutions.

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We Integrate With Your Ecosystem

As a Microsoft partner, we can leverage a variety of Azure tools to help clients modernise and optimise their data platforms. Here’s a detailed approach focusing on Azure-specific tools:

  1. Azure Data Factory:

    • Data Integration and ETL: Use Azure Data Factory to integrate data from various sources, perform data transformation, and load it into Azure data storage solutions. This tool allows for seamless data migration and integration, automating the ETL (Extract, Transform, Load) processes efficiently.

  2. Azure Synapse Analytics:

    • Unified Analytics Platform: Implement Azure Synapse Analytics to consolidate data warehousing, big data analytics, and data integration. This platform allows for powerful data processing and querying capabilities, making it easier to gain insights from large datasets.

  3. Azure Databricks:

    • Big Data and AI: Use Azure Databricks for advanced data analytics, machine learning, and AI. It provides an optimized Apache Spark environment, making it ideal for data engineers and data scientists to collaborate and develop models.

  4. Azure Machine Learning:

    • Machine Learning and AI Development: Utilise Azure Machine Learning to build, train, and deploy machine learning models. This platform supports end-to-end machine learning workflows, enabling clients to harness the power of AI.

  5. Azure Data Lake Storage:

    • Scalable Data Storage: Implement Azure Data Lake Storage for storing vast amounts of unstructured data. This service offers high scalability and integration with other Azure analytics services, facilitating efficient data management.

  6. Azure Purview:

    • Data Governance: Use Azure Purview to establish data governance and compliance. This tool provides data cataloging, lineage tracking, and data classification, ensuring data quality and regulatory compliance.

  7. Power BI:

    • Data Visualisation and Reporting: Integrate Power BI for creating interactive and insightful data visualizations and dashboards. Power BI connects seamlessly with Azure data sources, enabling clients to make data-driven decisions.

  8. Azure Cosmos DB:

    • NoSQL Database: Utilize Azure Cosmos DB for building highly scalable and globally distributed applications. This multi-model database service supports various data models, making it versatile for different use cases.

  9. Azure Stream Analytics:

    • Real-time Analytics: Implement Azure Stream Analytics to process and analyse real-time data streams from various sources. This service is ideal for scenarios where immediate insights are critical, such as IoT and event-driven applications.

  10. Azure Security and Compliance Tools:

    • Security Center and Sentinel: Use Azure Security Center and Azure Sentinel to monitor and protect data platforms. These tools provide advanced threat detection, security management, and compliance monitoring, ensuring a secure data environment.

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