Skip to content
Power BI Analytics

consulting

Microsoft Fabric when it helps reporting—not because it is trendy

We decide when Fabric helps you report better, what can stay in Power BI as-is, and how capacity is owned—without a science project.

NDA-readyFixed-scope first releaseBusiness + IT handover
SQL Server to Power BI performance dashboard with query latency and model refresh
  • Operating since 2012
  • Microsoft Power BI specialists
  • NDA-ready data handling
  • Fixed-scope first releases
  • Independent — not affiliated with Microsoft
Technologies in this engagementAzurePower BI

The problem we solve

Fabric is not mandatory for every Power BI estate. We assess whether a lakehouse/warehouse path, or sticking with Power BI Import from SQL, is the cheaper trustworthy way to report—then implement a thin slice if Fabric wins.

What you get

What ships in a focused first engagement—not a vague transformation promise.

  • Deliverable 1: Fit assessment: stay as-is vs move selected data into Fabric
  • Deliverable 2: Capacity sizing advice based on how people actually use reports
  • Deliverable 3: One subject-area slice (data → model → report) if you proceed
  • Deliverable 4: Workspace and ownership recommendations
  • Deliverable 5: Cost and operations checklist for whoever pays the bill
  • Deliverable 6: Decision log of what not to migrate yet

How it works

A realistic sequence with calendar time, assuming prompt access and stakeholders.

  1. 01

    3–5 days

    Workload interview

    Capture how fresh data must be, how many people hit reports at once, and who builds models today.

  2. 02

    2–3 days

    Architecture decision

    Produce a written recommendation with cost and skill implications.

  3. 03

    2–4 weeks

    Vertical slice (if proceed)

    Implement one subject area end-to-end and measure refresh and interactive behavior.

Practical details

The decisions that matter before the first report goes live.

  • 01If Import from clean SQL already reports well, we say so—Fabric is not a vanity upgrade.
  • 02Open access without monitoring is how capacity bills surprise finance.
  • 03Many teams keep curated finance models in Power BI even when Fabric exists for engineering data.

Related reading

Continue with the services, industry context, and practitioner guidance next to this engagement.

The reporting problem

  • 01Leadership asks for Fabric without a subject-area reporting story.
  • 02Pilots stall on messy files nobody wants to clean.
  • 03Capacity cost surprises finance after open access.

What changes

  • Documented go/no-go with plain rationale.
  • Optional vertical slice proves the pattern.
  • Capacity ownership and monitoring are named.

Recommended dashboards

Example dashboards for Fabric consulting

Example report patterns with sample KPI values tailored to your systems, owners, and review cadence. Click any preview to expand.

Dashboard

Fabric consulting executive scorecard

Headline outcomes, drivers, and exceptions for the Fabric consulting decisions your leadership team reviews weekly.

  • KPI strip with owners
  • Driver waterfall or contribution view
  • Exception queue with thresholds

Dashboard

Fabric consulting operating detail

Drill-ready operational pages so teams can move from a red KPI to the underlying cause without exporting to Excel.

  • Trend and period comparison
  • Segment breakdown
  • Detail table with filters

Discuss your fabric consulting needs

Book a practical conversation about the data you need to report and the sources that should feed it.

  • Clear first-release scope
  • Governed KPI definitions
  • Security-aware delivery
  • Practical handover and training

Why teams trust Power BI Analytics

Enterprise delivery with clear ownership

Power BI Analytics combines Power BI craft with business process discipline—so leaders get numbers they can act on.

14

Years building software & automation

Enterprise security practices
Microsoft Power BI specialists
Business + IT delivery model
Measurable reporting ROI

What to expect in an engagement

  • Named business sponsor and delivery ownership
  • KPI definitions validated against source totals
  • Security-aware workspace and refresh design
  • Documented handover, not a black-box model
  • First release scoped to prove value quickly
  • Response within one business day on qualified enquiries

Continue exploring this topic

Related pages that deepen the same subject—services, industries, integrations, and proof.

Typical deliverables

Fit assessment: stay as-is vs move selected data into Fabric
Capacity sizing advice based on how people actually use reports
One subject-area slice (data → model → report) if you proceed
Workspace and ownership recommendations
Cost and operations checklist for whoever pays the bill
Decision log of what not to migrate yet

Frequently asked questions

04

Buyer questions answered

No. If your current Power BI approach is enough, we say so. Fabric is recommended when engineering and BI share a real platform need.

One to two weeks for a written recommendation. A vertical slice adds two to four weeks.

Current model sizes, refresh timelines, concurrency estimates, and who pays the capacity bill.

Microsoft list pricing changes; we advise on sizing logic. Commercial quotes go through a Microsoft partner path.

Discuss your fabric consulting needs

Book a practical conversation about the data you need to report and the sources that should feed it.

Prefer a quote? Request project pricing · Download capability PDF

Book a call about Fabric consulting

Talk through priorities, data sources, and a practical first Power BI release.

Response within one business dayClear first-release scopeGoverned KPI definitionsSecurity-aware delivery

Discuss Fabric consulting

Book a free consultation to discuss your Power BI priorities, data landscape, and a practical first release.