Technology evidence

Use the platform that fits the workload and the team that must own it.

Microsoft is a priority, not an exclusive boundary. The matrix distinguishes established depth, source-system context, and platforms that require an assigned qualified delivery lead.

TechnologyEvidenceAdvisoryImplementationOptimizationIntegrationManaged support
Power BI

Semantic models, DAX, Power Query, reports, governance, performance, release, and administration.

EstablishedAvailableAvailableAvailableAvailableAvailable
Microsoft Fabric and Azure analytics

OneLake, lakehouse, warehouse, pipelines, workspace, capacity, deployment, and analytical workloads.

EstablishedAvailableAvailableAvailableAvailableAvailable
Snowflake

Architecture, SQL transformations, access, workload design, cost, performance, and BI integration.

EstablishedAvailableAvailableAvailableAvailableAvailable
SQL, Python, APIs, and files

Transformation, validation, automation, forecasting, orchestration, and controlled source integration.

EstablishedAvailableAvailableAvailableAvailableAvailable
Healthcare operational systems

EHR, practice management, claims, billing, scheduling, workforce, finance, ERP, CRM, and approved exports or interfaces.

Integration contextAvailableGatedGatedAvailableGated
Databricks and dbt

Implementation or optimization requires an assigned qualified delivery lead and a documented project boundary.

Engagement-dependentAvailableGatedGatedAvailableGated
AWS and Google Cloud data services

Architecture and delivery depth are confirmed for each engagement before scope is accepted.

Engagement-dependentAvailableGatedGatedAvailableGated
Tableau, Sigma, Fivetran, and Matillion

Existing estates can be assessed and integrated; deeper delivery requires a verified specialist in the engagement team.

Engagement-dependentAvailableGatedGatedAvailableGated

Expansion rule

Training, a synthetic reference, a controlled engagement, and documented operating boundaries come before a new deep-expertise claim.