Integrations / Data platform

A foundation in Microsoft Fabric.

Use your data platform as the foundation. Shape the executive reporting around the business questions it needs to answer.

FEstablished reporting path

Connection paths are scoped around your organization and available source access.

Put the reporting contract between data and decisions

Microsoft Fabric can provide the warehouse and modeling foundation behind a ChartSplice reporting experience. The connection is scoped to the data products and measures the application needs, rather than treating the dashboard as a general-purpose query interface.

ChartSplice’s existing implementation work includes a restricted, server-side Fabric reporting path for defined executive and regional financial measures. That is an established architecture to discuss, not a promise that every source or workspace is ready to connect without preparation.

Understand the connection path

The intended pattern is source activity, an agreed ingestion and transformation process, governed reporting measures, and a bounded reporting interface.

Each part has an owner. The source system may already feed Fabric, or the engagement may need to establish that path. The warehouse models may already answer the reporting question, or they may require definition and validation work.

The reporting application then requests the approved measures and dimensions. Source credentials and warehouse access do not belong in the browser.

Layer Scoping question
Source ingestion What reaches Fabric, how often, and with what history and coverage?
Reporting model Which definitions and aggregation rules produce the approved measures?
Access boundary What must the reporting identity be allowed to request?
Presentation Which filters, comparisons, definitions, and exceptions should users see?
Operations Who monitors publication, resolves source issues, and maintains the contract?

Build around defined measures

Collections, period-specific distinct payers, location comparisons, and service views each need an explicit contract. The source basis and aggregation rule determine whether the number can be safely compared or combined.

A warehouse column name alone is not a business definition. We validate the intended meaning with your reporting owners and reconcile the result against agreed controls.

Different reporting families may need separate contracts. Advertising delivery and clinical financial aggregates, for example, do not become a matched acquisition cohort because they share a warehouse.

Make freshness an operational agreement

Useful reporting needs more than the date of the newest transaction. The team should know whether the required data was successfully ingested, validated, and published for the requested scope.

The engagement defines the expected cadence, the information shown when publication is delayed, and who handles failures. Specific monitoring, alert delivery, and source service levels are agreed as part of the implementation.

Keep ownership precise

If the data foundation sits in your Fabric environment, the agreement should still identify account administration, workspace responsibilities, data assets, models, reporting software rights, infrastructure costs, and offboarding.

“Customer-owned foundation” should be a practical operating arrangement, not a substitute for those details. ChartSplice’s role in building and managing the reporting is described alongside your team’s responsibilities.

Bring the existing architecture

For discovery, bring a source inventory, a high-level view of the Fabric environment, the measures you need, and the people responsible for the data. We can identify whether the reporting foundation is ready, what needs to be modeled, and how to validate a focused first scope.

This page describes a reporting approach. It does not assert that private networking, customer-managed keys, identity features, or every Fabric capability are included in all ChartSplice engagements.

Your next operating review starts here

Let’s map the right connection.

Bring your source systems, existing data platform, and reporting questions. We’ll start with a practical connection plan.

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