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ACMI / Turning technology into business value.

Data analytics & operational decisions

Start with a cross-team operational question. Plan Microsoft Fabric, Power BI and data questions so analysis supports discussion and action.

Discuss your needs
Your challenge

Teams have plenty of data and reports but still spend time reconciling metrics, investigating signals and deciding who acts next.

Microsoft Fabric / Power BI / Fabric Data Agent / Copilot Studio

The change that matters

01

Align data and common metrics

Define sources, metrics and refresh schedules to reduce repeated reconciliation.

02

Focus on signals worth investigating

Use reports or data questions to narrow the investigation, then let people assess causes and impacts.

03

Connect analysis with improvement

Clarify findings, responsibilities and handover conditions to keep improvements moving.

How we get there

  1. 01

    Define one work challenge

    Confirm the workflow, sources, owners and desired outcome.

  2. 02

    Plan a focused application

    Agree the scope, tools, data access and human review points.

  3. 03

    Validate and hand over

    Assess preparation time, handover clarity or metric consistency before choosing the next step.

Scope and fit

Confirm data quality, access, licensing and available integration options. Correlation is an investigation lead, not a causal conclusion. Notifications or changes to business systems need separately designed workflows and confirmation controls.

Frequently asked questions

What should we prepare first?

Bring one recurring work problem, your current tools and data sources. We can clarify the scope together.

Do we need all the tools at once?

Start with one workflow or operational question, then expand according to your environment, licensing and observed results.

Keep exploring

Your challenge. Our next conversation.

Find the right approach, solution and tools for your business.

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