Results are difficult to trust
The same KPI has a different value in different reports, and reproducing the definition, filter, and source takes too long.
When reports work but are slow, show conflicting results, or users stop using them, we identify the causes and sequence of changes in 2–3 days. The result is a BI health diagnosis, risk map, priorities, and optimization plan.
The assessment structures the decision before a larger optimization, migration, or platform development project.
The same KPI has a different value in different reports, and reproducing the definition, filter, and source takes too long.
Refreshes take too long, users wait for views to load, and resource consumption increases without a clear reason.
Models, KPIs, and reports are duplicated. No one knows which assets are critical, used, and ready for further development.
The organization is planning Microsoft Fabric, a platform change, or a migration of Alteryx processes and needs a sequence of work.
Roles, workspaces, RLS, naming, publication, and data accountability do not form one consistent process.
Before Copilot or other AI solutions are used, the model, descriptions, metrics, security, and answer quality need to be assessed.
We align the scope with the most important problem so the short audit ends with a decision, not a general list of observations.
Sources, flows, the data model, the semantic layer, dependencies, and places where logic is duplicated.
KPI meanings, filters, dates, transaction statuses, data completeness, and the path from a result back to its source.
Refresh time, report speed, critical queries, and the use of available resources.
Adoption, critical and unused reports, duplication, and assets to develop, combine, or retire.
Roles, permissions, RLS, workspaces, life cycle, publication, and accountability for the environment.
The state of models, descriptions, and metrics; migration risks; and the conditions for safe use of AI capabilities.
The assessment separates symptoms from causes and supports a decision on the next scope without starting a large project without adequate information.
The assessment does not require a follow-on project. The recommendation identifies the smallest scope that addresses the most important risk.
Optimization of a critical report, refresh time, and resource use.
Classification of reports into those to develop, combine, or retire.
Quality rules, exceptions, accountability, and controls for disputed KPIs.
Roles, workspaces, life cycle, naming, RLS, and the publication process.
The model, descriptions, metrics, security, and testing of business questions before Copilot or AI is used.
Migration priorities and the redesign of valuable elements in the legacy environment.
Explore migrations →A shared data layer, semantics, and governance as the foundation for future BI and AI solutions.
Monitoring, performance optimization, a backlog, and a regular environment development plan.
Explore SLA-based support →We focus the work on a specified environment, report, or group of problems with a common source.
The fixed price of the starting point covers analysis, diagnosis, priorities, and a discussion of the findings.
We need access to the agreed scope and participation from the person responsible for BI and the owners of the relevant data or reports.
Describe the report, discrepancy, or performance problem. We will define an audit scope that concludes with a specific decision.
Discuss a BI audit