KPI & reporting strategy
Define the decisions, measures, owners and reporting cadence before choosing charts.
Turn disconnected reports into a clear view of performance. MetaDynamic builds Power BI solutions around agreed KPIs, dependable data and the people who use them.

Power BI connects business data, semantic models and interactive reports. We focus on the part that makes reporting useful: consistent definitions, clear visual priorities and a reliable route back to the source.
From an executive review to a plant-level investigation, every report should answer a business question. We work with finance, sales and operations teams to agree measures before building the visuals.
Define the decisions, measures, owners and reporting cadence before choosing charts.
Build reusable measures, clear relationships and a model that can support more than one report.
Design executive summaries, operational drill-through and mobile layouts with consistent visual logic.
Connect supported SAP, Dynamics 365, SQL, Excel and business sources through an agreed access pattern.
Design workspaces, access roles and row-level security around your audience and data responsibilities.
Review slow reports and refresh failures, train report owners and establish a support routine.
Reconcile definitions and help reviewers move from a headline variance to the underlying transactions.
Give sales leaders a consistent view of movement, priorities and opportunities requiring attention.
Bring production and quality measures together with agreed plant, product and period definitions.
Identify ageing stock, delayed orders and supplier trends using consistent reporting cut-offs.
KPI definitions, source mapping, audience needs and report priorities.
Semantic model, report pages, access tests and reconciliation results.
Refresh documentation, training and an agreed support process.
Power BI is Microsoft’s business analytics platform for connecting, modelling, visualising and sharing data. A typical solution combines a semantic model, reports and governed distribution to business users.
Yes, using supported connectivity and an architecture suited to your systems. We assess source permissions, extraction methods, refresh needs and impact on the ERP before implementation.
We assess your reporting and data needs first. Power BI can be the starting point, while wider Fabric workloads can be introduced where shared storage, engineering or integration requirements justify them.
Data freshness depends on the source, connection mode, capacity and refresh design. We agree the required latency and display clear refresh information rather than promising real-time data for every source.
Yes. A review can cover DAX, model structure, report usability, access controls and refresh performance. We prioritise changes against the business impact.
The estimate separates implementation from licences and capacity. User numbers, distribution, data volumes, refresh needs and support scope determine the recommended approach.
Bring one report your team does not trust—or one decision it cannot answer. We will help define a focused starting point.