Consulting Services for Azure Databricks

Collectiv is a premium Data & AI consulting firm where data and analytics leaders go for Microsoft Fabric, Power BI, and Databricks consulting excellence. We deliver proven results with no compromises, supporting organizations that refuse to settle for underperforming data platforms. With more than 500 successful implementations, Collectiv helps enterprises design, deploy, and operate modern analytics and planning solutions that drive real business outcomes. Collectiv’s services span the full data lifecycle, from strategy through implementation and ongoing support. Our AI Strategy & Implementation services help organizations move beyond experimentation, turning AI pilots into production-ready systems that deliver measurable ROI. Through Data Strategy & Architecture, we design modern, scalable data foundations that support analytics, AI, and enterprise reporting built correctly from the start. We specialize in Microsoft Fabric and Databricks implementations, delivering rapid, enterprise-grade deployments with a proven track record of client satisfaction. These platforms are designed for performance, scalability, and governance, enabling organizations to unify analytics, engineering, and AI on a modern data stack. Collectiv also provides Power BI Implementation & Consulting, helping enterprises unlock the full potential of Microsoft Power BI through expert implementation, strong governance, and team enablement. We design, migrate, and optimize enterprise-ready Power BI solutions built for performance, scalability, and adoption so Power BI becomes a trusted decision platform, not just a reporting tool. Our approach ensures analytics teams can confidently scale insights while maintaining control, consistency, and long-term value. Beyond implementation, Collectiv offers Enterprise Planning solutions that replace spreadsheet-driven processes with connected, governed planning and write-back capabilities. We also provide Strategic Support, giving organizations access to senior consultants on demand delivering deep expertise without the overhead of full-time staffing. For ongoing success, Collectiv delivers Managed Services & Cloud Solutions as a Microsoft Cloud Solutions Provider (CSP). Our managed services include ongoing platform management, optimization, and support across Microsoft Fabric, Power BI, and the Azure data platform, while simplifying licensing, governance, and cost management. We also offer Training Programs designed to transform users into power users in days. Collectiv’s core toolkit includes Microsoft Fabric, Databricks, Power BI, Copilot, and the Azure Data Platform applied with precision to deliver enterprise results.

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Solv Systems is a South Africa–based Microsoft Fabric and Power BI consulting and delivery service that helps organisations build and run modern data platforms for analytics, reporting, and self-service business intelligence. Solv Systems implements Microsoft Fabric capabilities such as OneLake, Lakehouse/Warehouse, and Data Factory to ingest data from source systems, apply a metadata-driven Medallion architecture (Bronze/Silver/Gold), and publish governed datasets for reliable reporting. The service supports global clients across functions including finance, HR, sales, operations, and engineering. Solv Systems delivers remote-first engagements across multiple time zones and provides an offshore delivery model from South Africa for organisations seeking cost-effective Microsoft analytics implementation and ongoing support. Microsoft Fabric architecture, setup, and governance (OneLake, Lakehouse/Warehouse, workspace and access design) Data engineering and ELT pipelines (Data Factory, incremental loads, data quality checks, structured ingestion) Medallion data modelling (Bronze/Silver/Gold, metadata-driven patterns, curated datasets) Power BI semantic models and reporting (DAX measures, star schema modelling, dashboard delivery, performance optimisation) Documentation, knowledge transfer, and adoption enablement (standards, handover, reporting operating processes)

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