Microsoft data and AI consultants for cloud analytics

Digiventi provides hands-on Microsoft Fabric data engineers who join your team to replace manual data preparation and address unreliable pipelines. They assess existing SQL Server or Azure estates and plan which workloads belong in Fabric.

Implementation covers ingestion through Data Factory pipelines and lakehouse or warehouse development. Engineers use SQL and PySpark to prepare data for reporting, with incremental loading and validation checks. Migration work includes source-to-target reconciliation and investigation of failed loads before downstream reports depend on them.

Power BI consultants turn reporting requirements into maintained datasets and reports. They work with business owners to agree measure definitions and trace discrepancies back to source data.

• Semantic models and DAX: Build shared models and measures, review relationships, and tune calculations that slow report queries.
• Report development and administration: Create reports around business decisions and configure row-level security. Specialists also investigate refresh failures and review workspace permissions.

Existing reports can be consolidated where duplicate models produce conflicting figures or unnecessary maintenance.

Azure AI engineers add document search and language-model capabilities to business applications. Work can cover retrieval-augmented generation using Azure AI Search and Azure OpenAI, with application code that connects responses to approved information.

Specialists build document ingestion and retrieval pipelines, then evaluate answers against representative questions. They test permission boundaries and unsupported-answer handling before production use. Ongoing engineering can address retrieval quality or model changes, with monitoring for response latency and token consumption so application owners can assess operating costs.

Microsoft data platform specialists investigate failed refreshes and pipeline incidents across Fabric and Azure. They review query performance and capacity consumption, then implement changes against the identified bottleneck.

Data governance consultants use Microsoft Purview to document lineage and ownership. Engineers configure Microsoft Entra ID access controls and review permissions across reporting and data workloads. For ongoing changes, specialists maintain deployment pipelines and test affected datasets before release. Recovery work includes checking available restore options and documenting operational procedures that internal teams can maintain.