Solv Systems

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Turn data into decisions. Make data useful. From raw data to real outcomes.

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Opgericht2024Klein (10–49)South Africa

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<p>Solv Systems is a data consultancy focused on turning complex data into measurable business outcomes. We work with organisations to modernise their data estate, improve data quality and governance, and deliver analytics that people actually use.</p><p>Our services span data strategy, cloud data platforms, data engineering and integration, dimensional/semantic modelling, BI and KPI frameworks, automation, and AI/ML enablement. We’re delivery-led and pragmatic: start with the decision you need to make, then build the data products and pipelines that make it repeatable, trusted, and scalable.</p>

Industrie-focus

Industrieën en specialisaties die dit bedrijf bedient.

Marketing & Media

Digitale marketing

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Kernservicegebieden die dit bedrijf levert.

Data-engineering

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€3,000.00

Data Consulting

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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