Strategy and roadmap
Prioritize business use cases, reporting needs, data readiness, governance and adoption in a practical implementation roadmap.
Business intelligence consulting
Build dependable reporting with a clear approach to data architecture, semantic models, business definitions, security, deployment and user adoption. Start with your business question and current environment—not an assumption that every problem needs a platform rebuild.
Discuss a Power BI ProjectPower BI consulting helps organizations plan, design, implement, optimize and govern business intelligence solutions using Microsoft Power BI. The right work may include strategy, data preparation, semantic modeling, DAX, dashboards, administration, security, deployment, licensing guidance, training and support—selected to fit your data, users and operating constraints.
Organizations often begin with a focused assessment when reporting is manual, KPIs conflict, data sources are fragmented, refreshes are unreliable, reports are slow or teams need a governed path to scale self-service analytics.
Each engagement is scoped around business priorities and the current reporting environment. The specific capabilities and deliverables are confirmed before work begins.
Prioritize business use cases, reporting needs, data readiness, governance and adoption in a practical implementation roadmap.
Assess source systems, connectivity, transformation responsibilities and the right fit for Power Query, a warehouse or Microsoft Fabric.
Design reusable models, business measures and calculations around agreed KPI definitions and the grain of your data.
Build audience-focused reports for executive, finance, sales, marketing and operational decisions.
Investigate model design, DAX, visuals, source queries, gateways and refresh behavior using measured diagnostics.
Plan workspace roles, report distribution, row-level security, ownership and governance practices for responsible use.
Establish development, test and production workflows, release checks, documentation and clear content ownership.
Enable report consumers and authors, transfer knowledge and scope support for maintenance and future improvements.
A successful engagement should leave your organization with validated business logic, understood data dependencies, controlled access and a clear operating model—not just a report file.
Deliverables and acceptance criteria depend on the agreed scope and are confirmed for each engagement.
Depending on your requirements, an engagement may include strategy, data integration, semantic modeling, DAX, report development, security, deployment, training or ongoing support. Scope and deliverables are defined for each project.
Yes. The current platform and data flows can be assessed before recommending changes. A new platform is not assumed where existing architecture meets the business and technical requirements.
No. Power BI can work with supported sources and existing data platforms. Fabric may be considered when its broader data engineering and analytics capabilities fit the use case.
An assessment can review model design, DAX, visuals, source queries, refresh, gateway and capacity. Recommendations should be based on diagnostics and validated after changes.
Security planning can cover identity groups, workspace roles, report audiences, semantic model permissions, row-level security and tenant controls. Access should be tested with representative users and roles.
Cost depends on scope, complexity, data readiness, team composition and support needs. A proposal should define deliverables, assumptions, exclusions and acceptance criteria.
Share the business challenge, current data sources, report users and desired outcome. An initial discussion can establish whether an assessment, implementation plan or focused technical task is appropriate.
Tell us about your reporting challenge, data sources and desired outcome. We can use an initial discussion to clarify whether an assessment, implementation plan or focused technical task is the right next step.
We are an authorized implementation partner of Snowflake, Databricks, Amazon, Automation Anywhere, Denodo, DataDog, New Relic, and Elastic.