Power BI Analytics Suite

The problem

Every Dynamics 365 Finance & Operations deployment reaches the same moment. The analytical workspaces that ship with the application look fine in a demo, and then a CFO asks for margin by customer segment across three legal entities in a single reporting currency, or a supply chain director asks which items are driving the inventory value increase and whether it is demand or purchasing behaviour. The embedded tiles cannot answer it. Somebody exports to Excel. Then somebody else exports to Excel, using a slightly different filter, and now there are two numbers.

The usual next step is a Power BI file built by whoever is most available, pointed straight at F&O with a live connection or a hand-rolled query. It works for a month. Then it times out, or it double-counts intercompany, or the person who built it leaves and nobody can read the model.

The gap is not Power BI skills. It is the modelling layer between F&O's normalised transactional schema and a semantic model a finance or operations leader can slice without being wrong.

What ECOSIRE builds

This is a build-to-order engagement. There is nothing to download. After a scoping call and a fixed quote, ECOSIRE builds the models, reports and embedding against your data, your chart of accounts and your dimension structure, then delivers the F&O components through your LCS pipeline.

The data foundation

We start by choosing the right source with you rather than assuming one. For most deployments that means the entity store aggregate measurements for pre-aggregated financial and operational data, the data lake export of your entities where you need transaction-level grain and history, or a combination — aggregates for speed, lake for detail drill-through. Where a specific figure has no suitable aggregate measurement, ECOSIRE builds one: an aggregate measurement definition in a dedicated model, refreshed on a schedule through the batch framework, exposed the same way the standard ones are.

The semantic model

The centre of the build is a properly designed Power BI dataset: conformed date, legal entity, customer, vendor, item and ledger dimension tables; explicit relationships rather than ambiguous bidirectional filters; and a measure layer written in DAX with time intelligence, currency handling and dimension-aware aggregation. Financial dimensions are modelled from your actual dimension structure — if your business runs on cost centre, business unit and project, those are first-class filters, not a concatenated string. Multi-entity groups get a reporting-currency layer so consolidated views do not silently mix currencies, and intercompany elimination is handled explicitly where your group requires it.

The reports

Report pages are built to the questions you named in scoping, not to a generic template. Typical finance coverage includes trial balance and ledger movement, profit and loss with prior-period and budget comparison, accounts receivable and payable ageing, cash position and collections performance. Typical supply chain coverage includes inventory value and ageing, stock turns, purchase price variance, on-time delivery, open sales and purchase pipeline, and warehouse throughput. Project-driven businesses get project profitability, WIP and committed cost. Every visual is traceable back to a documented measure — no orphan calculations buried in a visual filter.

Embedding into F&O

Reports are surfaced where people already work. ECOSIRE builds F&O workspace extensions in X++ that embed the reports as analytical tabs, passing the current user's legal entity and relevant record context so a supply chain manager opening an item sees that item's analytics rather than a blank slicer. Row-level security is designed alongside the model so a user's F&O legal entity access and, where required, their organisational scope are reflected in what the report returns — not merely hidden in the visual.

Refresh, performance and operations

Refresh schedules are set against your actual data volumes and your batch window, using incremental refresh where the grain and volume justify it. Aggregate measurement refresh jobs run in the batch framework as proper batch tasks. Where a report is genuinely operational rather than analytical — a queue an operator watches — we say so and use the right mechanism instead of pretending a scheduled dataset is real time. Where Dual-write or a Power Platform surface is a better home for a specific interaction, we wire it rather than duplicating data.

Build discipline

All F&O components are extension-based X++ in a dedicated model — no overlayering. The Power BI artefacts are delivered as files you own, deployable into your own tenant workspaces under your own capacity and governance.

Who this is for

Finance and supply chain leadership in organisations live on F&O who have outgrown the embedded workspace analytics — particularly multi-entity groups needing consolidated views, distribution and manufacturing businesses whose inventory and margin questions span modules, and project-driven businesses where profitability sits across ledger, project and procurement data.

It is also for IT teams currently maintaining a sprawl of individually built Power BI files who want one governed semantic model instead of twelve competing ones.

How delivery works

Scoping call. We ask what decisions the reports must support and who makes them, then work backwards to the data. We review your legal entity structure, your financial dimensions, your chart of accounts, your F&O version, whether you already have data lake export configured, and what Power BI capacity and governance you run.

Fixed quote. You get a written scope naming every report page, every measure group, the data foundation approach, the aggregate measurements to be built, the workspace embedding, the security model and a fixed price. Nothing starts until you approve it.

Build. Models and reports are built against your data. Review sessions use your real numbers, because a dashboard that has never met your data has not been tested.

Install in test. F&O components go into your sandbox through LCS; datasets and reports go into a test workspace in your tenant. Your finance and supply chain users validate the numbers against sources they already trust, and we reconcile every difference before proceeding.

Production. After sign-off, the F&O package is applied to production through your release process and the Power BI content is promoted into your production workspace with refresh schedules and security in place.

Support. A defined support window follows go-live for defect fixes, measure corrections and configuration questions, with all source in your hands throughout.

Typical lead time from approved quote to sandbox install is two to four weeks depending on the number of report areas and the state of your data foundation.