Power BI reporting
Dashboards on one semantic model, so finance and operations read the same number for the same question, refreshed before the day starts.
Power BI · DAX · Semantic models
Microsoft Fabric and Power BI consulting
Reporting, tailored to the way your business runs.
We design and build Fabric data platforms and Power BI reporting for growing companies: one trusted source for every number, refreshed on its own, and handed over so your team owns it.
- $3M+
- in savings found with Power BI staffing models for an urgent care group
- $250K+
- of workload absorbed by an app built inside Fabric
- 15+ hrs
- a week of manual reporting retired by one Fabric pipeline
- 30+
- Excel models moved onto Power BI and Fabric
Results from engagements and roles our founder has led.
01Services
When the spreadsheets stop keeping up.
For companies of 20 to 250 people on QuickBooks or NetSuite, a CRM and Microsoft 365, reporting usually means someone exporting, pasting and hoping it matches.
“Month-end takes two weeks.”
“Nobody trusts the numbers.”
“I can’t see margin by job.”
“Whoever built our reports left.”
Fabric warehouse design
A Fabric warehouse and lakehouse that pull every source together on a schedule, and check each table before anyone sees it.
Fabric Warehouse · Lakehouse · Data Factory · PySpark
Website + hosting consulting
A fast site on your own domain, with hosting, DNS and business email set up so you own every piece and keep running costs low.
Websites · Domains and DNS · Hosting · Business email
02How we build
From scattered exports to one source of truth.
Every engagement moves through the same four stages, and your data stays inside your own Microsoft tenant the whole way.
STAGE 1
Connect
Accounting, CRM, files and APIs, pulled in on a schedule.
AccountingCRMFilesAPIs
STAGE 2
Refine
A Fabric lakehouse that cleans and checks every table.
GoldBusiness-readySilverCleanBronzeRaw
STAGE 3
Model
One semantic model, with every measure defined once.
Semantic modelRevenue · Margin · Utilization
STAGE 4
Deliver
Reports, Excel, apps and PDFs that all agree.
Power BIExcelAppsPDFs
- Built inside your own Microsoft tenant
- Every change versioned and reviewable
- Documented and handed over to your team
03Selected work
Fabric and Power BI, in production.
Client names stay private. Every sample is rebuilt on fictional data, so you can see the work without seeing anyone’s books.
Healthcare services · Fabric appUtilization QA ConsoleA failure-prone manual QA process rebuilt as an app inside Fabric, on the same semantic model as the reports.$250K+of workload absorbedFabric SQL · DAX · ReactRead the case study Healthcare services · Fabric platformMetadata-Driven LakehouseOne pipeline for every source. A new table onboards with a config row, and schema checks stop bad data at the door.15+ hrsof manual reporting retired each weekFabric · PySpark · Delta LakeRead the case study
Healthcare services · Power BISales Pipeline IntelligenceDaily snapshots of every open deal, and a pipeline waterfall that checks its own math.Dailysnapshots of every open dealFabric · PySpark · T-SQL · Power BIRead the case study
More workBuilt onOutcome
More work
Urgent Care Analytics SuiteSixteen reports folded into one leadership suite, with staffing forecasts built in.Power BI · Fabric Warehouse$3M+ in savings foundUtilization Reporting ModelOne set of measures behind executive reports, the review app and client PDFs.Power BI · DAX · TMDLOne number for every questionContact Center IntegrationUndocumented telephony APIs mapped and load-tested before a pipeline shipped.Python · Fabric pipelinesIntegration de-risked before launchjoshuabiondo.comA fast portfolio site with its own notes editor and podcast feed, on a custom domain.React · Vite · FirebaseLive, on free-tier hostingMore work opens Joshua’s portfolio at joshuabiondo.com.
04Who we serve
Industries we know, anywhere in the US.
Remote across the US. Every engagement can run on video calls, inside your tenant.
On site in North Carolina. Kickoffs and workshops in person, by arrangement.
Eastern Time. Hours that overlap every US time zone.
Healthcare and clinics
Professional services
Multi-location services
Real estate and property
Distribution and manufacturing
Nonprofits
05Engagements
Start with a week. Grow into a platform.
Every engagement is scoped and quoted before work begins, so you know the cost before anything starts.
Power BI reporting
One Copilot-ready semantic model with three to five Power BI pages, refreshed every morning and handed over.
From $7,500
Plan a buildFabric warehouse design
A Fabric lakehouse in your own tenant: up to three sources on one pipeline, checked layer by layer, with a model and report on top.
From $15,000
Talk to usWebsite + hosting
A fast five-page site on your own domain, with hosting, DNS and business email set up and documented. You supply the copy.
From $2,500
Plan a siteData health check
Your sources, model and licensing reviewed, a priced roadmap and one quick win. The fee counts toward a build within 30 days.
$2,000 fixed
Start hereAI-ready semantic model
Your Power BI model prepared for Copilot and a Fabric data agent: descriptions, synonyms, instructions and a security check.
$4,000 fixed
Get AI-readyKeep it running
Refreshes watched, failures fixed, capacity costs checked every month, and a quarterly review of the model.
$750 a month
Talk about upkeep- Founding clients. Our first three clients take 20% off list, up to $3,000, in return for a case study and a reference call.
- AI, with a person behind it. We build with AI tools, and every number is reconciled and signed off by hand before you see it.
How an engagement runs
- 1Talk. A free 30-minute call about where the numbers hurt.
- 2Scope. A written plan and a fixed quote before anything starts.
- 3Build. Weekly check-ins on real screens, on your data.
- 4Hand off. A recorded walkthrough, written docs and the keys.
06About
Joshua Biondo
Founder and principal consultant
“Finance analyst turned data architect. I still think in P&L terms; I just build the engines now.”
Joshua has spent his career building reporting for healthcare, real estate finance and architecture firms: Fabric lakehouses, the semantic models on top of them, and the apps teams use to check their own numbers. He started Hemline Analytics to bring that setup to companies too small to hire a data team.
- Background
- Project accounting and financial analysis
- Builds in
- Microsoft Fabric and Power BI
- Education
- B.S. Finance, Thomas College
A small firm, on purpose.
The person on your first call is the one who builds your model and writes your measures. No hand-offs to a junior team, and nothing lost in translation.
07Contact