How we compare
Why operators choose Vornoy.
Most analytics tools were built for someone else: enterprise data teams, hospitality-only operators, or accountants doing month-end close. Vornoy was built for the SMB operator running across multiple channels. Here's how that shows up.
01 / At a glance
The cost of knowing the truth.
Annual all-in cost — software, licenses, and the people required to run them — for a typical SMB operator ($5M–$50M revenue). Vornoy sits 6–30x below generic BI and 30x below building it yourself.
Spreadsheets
$0 + ~80 hrs/mo labor
Vornoy
$6K–$30K/yr
Vertical-specific tools
$10K–$30K/yr
Generic BI (Tableau, Looker)
$50K–$200K+/yr
DIY data stack
$200K+/yr
All-in cost includes software, hosting, and the labor required to operate the tool. Spreadsheets are "free" until you price the controller-hours spent maintaining them.
vs Spreadsheets
80 hrs
Controller hours saved per month — at fully-loaded $80/hr, ~$77K of labor freed annually.
vs Generic BI
6–30x
Lower total cost of ownership. No data engineer required.
vs DIY stack
12 weeks
Faster from kickoff to live dashboard. Two weeks vs four-plus months.
02 / Side by side
Every dimension, head to head.
| Capability | Vornoy | Spreadsheets | Generic BI | Vertical tools |
|---|---|---|---|---|
| Reconciled to accounting | ✓ Built-in | Manual | Add-on | Limited |
| Real-time refresh | ✓ Daily | Weekly+ | ✓ | ✓ (one vertical) |
| Multi-channel revenue | ✓ Native | Manual | ✓ (you build) | One channel |
| Cross-vertical | ✓ | (if you build it) | (if you build it) | Single vertical |
| Custom KPI dashboards | ✓ Configured | (manual) | ✓ (DIY) | Limited |
| Scenario modeling | ✓ Built-in | (manual) | Rare | Rare |
| Multi-entity | ✓ Enterprise tier | Hard | ✓ | Limited |
| Setup time | 2 weeks | 1 hour to weeks | 3–6 months | 4–6 weeks |
| Operating cost (annual) | $6K–$30K | Free + labor | $50K–$200K+ | $10K–$30K |
| Data team required | No | No | Yes | No |
Pricing and setup times are typical for SMB ($1M–$100M revenue) deployments.
03 / vs Spreadsheets
From eight tabs to one source of truth.
B4 fx =SUM('Q1 Revenue'!B2:B40)+'Wholesale-old'!C4 — circular ref?
A
B
C
D
1
Metric
Value
Source
Last updated
2
Revenue MTD
$1.84M
manual entry
3 weeks ago
3
OPEX
$612K
tied to QBO?
unknown
4
CAC blended
#REF!
#REF!
broken last sync
5
Gross margin
62.8%
doesn't tie
manually adj.
6
Channel mix
#VALUE!
#VALUE!
column missing
Operating model
Revenue v3
Revenue v4 USE
Wholesale-old
CAC backup
+
Excel · 14 tabs · 3 versions of revenue · last reconciled in February
Excel · Sheets · Custom models
Stale, error-prone, locked to one person's head.
- Stale by definition — refreshed weekly at best, often monthly.
- Manual data entry means manual errors. Most operators have at least one $50K mistake in their model.
- Locked to one person's brain. When the controller is out, the dashboard is out.
- Doesn't reconcile to your books. Numbers in the deck don't tie to numbers in QBO.
- Doesn't scale past one entity. Multi-entity operators end up with sheets for every entity.
- No audit trail. When a number changes, no one can tell you why.
Operator overview
Live · reconciled
Revenue MTD
$1.84M
+14.2%
OPEX MTD
$612K
+3.1%
CAC blended
$78
-6.4%
Gross margin
62.8%
+1.2 pp
✓ Reconciled to QBO · refreshed 3 min ago
One source of truth · reconciled · real-time · operator-grade
Vornoy
Live, reconciled, multi-user.
- Real-time refresh from the source systems — no manual entry.
- Reconciled automatically to your accounting system. If it doesn't tie, we don't show it.
- Multi-user by default. Your CFO, controller, and CEO can all see the same numbers.
- Multi-entity capable. Roll up portfolios, drill down to individual businesses.
- Full audit trail. Every number traces back to the underlying transaction.
- Built-in scenario modeling — what-ifs without rebuilding from scratch.
04 / vs Generic BI tools
Designed for SMB operators, not enterprise data teams.
Generic BI · stale by 48 hours · not tied to accounting · requires data engineer
Tableau · Looker · Power BI
Powerful, but requires a team to feed it.
- Built for enterprise data teams with full-time analysts running them.
- Doesn't natively reconcile to accounting — you bolt that in yourself.
- Pricing typically starts at $50K+/year for production deployments.
- Requires a data warehouse, transformation layer, and someone to maintain both.
- Industry-agnostic — you build every dashboard from scratch.
- Months to implement before you see real value.
Operator overview
Live · reconciled
Revenue MTD
$1.84M
+14.2%
OPEX MTD
$612K
+3.1%
CAC blended
$78
-6.4%
Gross margin
62.8%
+1.2 pp
✓ Reconciled to QBO · refreshed 3 min ago
One source of truth · reconciled · real-time · operator-grade
Vornoy
Pre-built, calibrated, no data team needed.
- Built specifically for SMB operators — no internal data team required.
- Reconciled to your books out of the box. That's not an add-on; it's the whole point.
- Pricing starts at $500/mo, fully loaded.
- We handle the warehouse, the transformations, and the maintenance.
- Vertical-specific dashboards pre-built for CPG, hospitality, tech, and pro services.
- Most operators see real numbers in their first two weeks.
05 / vs Industry-specific tools
One platform across every part of your business.
Prime cost · MTD
58.2%
Labor % sales
31.4%
Daypart mix
82/18
Not in this product
- Marketing spend & CAC
- DTC channel revenue
- Cross-vertical roll-up
- Cash flow & runway
- Scenario modeling
One vertical · doesn't touch finance · separate tool for every other part of the business
MarginEdge · Avero · Crunchtime
One vertical, one workflow.
- Built for one vertical only — typically hospitality or one part of CPG.
- Stops at operations. Doesn't connect to your accounting, marketing, or financial planning.
- Doesn't roll up across business lines if you operate across multiple concepts or channels.
- Often replicates work your accounting system already does, in a slightly different format.
- Limited custom KPI capability — you get what they built.
- Hard to extend if your business model evolves.
Cross-vertical view
All channels
CPG · DTC
$782K
+18%
Hospitality
$524K
+9%
Tech · ARR
$8.4M
+34%
Services util.
82%
+3 pp
✓ Reconciled to QBO · refreshed 3 min ago
One source of truth · reconciled · real-time · operator-grade
Vornoy
Every channel, every function.
- Cross-vertical: built for operators who run hospitality AND CPG, or tech AND services.
- Unifies operations, finance, marketing, and forecasting in one view.
- Rolls up across concepts, locations, or channels automatically.
- Sits on top of your existing accounting and ops systems — doesn't replace them.
- Fully custom KPI dashboards built around how YOUR business works.
- Evolves with you. Add channels, locations, or new business lines without re-platforming.
06 / vs DIY data stack
Without the engineering team to maintain it.
◇
Source connectors (Fivetran / Airbyte)
You own
↓
◇
Cloud data warehouse (Snowflake)
You own
↓
◇
Transformation layer (dbt)
You own
↓
◇
BI / dashboard tool (Looker)
You own
↓
◇
Data engineer to maintain it all
You hire
Year 1 total $220K+
5 systems · 1 full-time engineer · 4–6 months to first dashboard
dbt · Snowflake · Looker · 1 hire
Five systems, one hire, six months to first dashboard.
- Typically $200K+/year fully loaded (warehouse, BI tool, data engineer).
- Months to build, months to maintain — you're running a data project, not your business.
- When integrations break (and they will), someone has to fix them.
- Requires data engineering hires that are hard to recruit and expensive to retain.
- Ongoing schema migrations as your source systems update.
- You build, you own, you maintain — even when priorities shift.
One platform · zero engineers
Setup: 2 weeks
Connected sources
7
Live dashboards
12
Data engineers
0
Maintenance hours/wk
0
✓ Reconciled to QBO · refreshed 3 min ago
One source of truth · reconciled · real-time · operator-grade
Vornoy
One platform, zero engineers, two weeks to live.
- All-in cost typically 1/10th of a custom data stack at the SMB level.
- Live in weeks. We maintain integrations, schema, and uptime.
- Vornoy team handles connector breaks, source updates, and edge cases.
- No data engineers required. Your existing finance team operates Vornoy directly.
- Schema and connector maintenance is our problem, not yours.
- Focused on giving you answers — not on running a data infrastructure project.
A note on ERPs
QuickBooks, NetSuite, Restaurant365 — not competitors.
A common question: "Why do I need Vornoy if I have QuickBooks?" Vornoy isn't an accounting system, ERP, or POS — it sits on top of them and pulls them into one operator view.
[ accounting · ops · commerce ]
QuickBooks, NetSuite, Shopify, R365
Your accounting, POS, and commerce platforms handle transactions, close, fulfillment, and operational workflows. Vornoy reads them — it doesn't replace them.
[ the pattern ]
We sit on top, not in place of.
If your current tools work, keep them. Vornoy connects them into one operator view — revenue, margin, OPEX, and channel performance together, reconciled to your books.
See Vornoy in action.
Book a 30-minute demo. See the platform live, ask us anything, and leave with a clear picture of what Vornoy looks like for your business.
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