Franchise Analytics
Your locations run different systems. Your reporting should still run as one.
We build the analytics layer that gives franchise leadership a consolidated view — and gives each operator the visibility to run their own location.
The Reporting Problem
Every franchise group eventually hits the same wall. You have 30, 100, or 400 locations generating data every day — transactions, labor hours, customer activity, inventory movements — and none of it shows up in one place. Each location runs its own POS. Some run different HR systems. Regional managers produce their own spreadsheets. Corporate waits on manually compiled rollups before they can see anything.
The deeper problem is metric inconsistency. The same term — "revenue," "labor cost," "average check" — gets calculated differently in different systems, or defined differently by different regional managers. You cannot compare Location 12 to Location 47 if they are measuring differently. Cross-location benchmarking becomes impossible, and so does identifying what your best locations are actually doing differently.
Franchise operators also face a trust and compliance requirement that is easy to overlook: franchisees should see their own performance data, not their competitors'. Without row-level security designed in from the start, you are either keeping franchisees in the dark or giving them more access than they should have. Neither builds the relationship that makes a franchise model work.
The solution is not replacing any of your existing systems. It is building the layer that sits above them — normalizing the data, enforcing consistent metric definitions, and serving corporate and franchisees different views of the same truth.
One Data Layer. Two Views.
We call it hub-and-spoke reporting: one normalized data layer underneath, role-based views on top. Corporate leadership sees everything — top and bottom performers, regional trends, brand-level aggregations, and the metrics that matter for the whole organization. Each franchisee or operator sees their own location — revenue, labor, customer metrics, performance against brand benchmarks — and nothing else.
This is not a replacement project. Every POS, HR, and accounting system stays in place. What changes is the layer that connects them and the reports that flow from that connection. New locations onboard into the same data model without rebuilding dashboards. The architecture scales with your growth.
For a deeper look at the architecture behind this approach, see our breakdown of hub-and-spoke reporting for franchise groups, subsidiaries, and portfolio companies.
What Franchise Operators Get
Cross-Location Benchmarking
Standardized KPIs across every location — comparable regardless of what POS or HR system each runs. Identify top performers, understand the gap, and give operators a target to aim at.
Franchisee Dashboards
Each operator sees their own performance: revenue, labor, customer metrics, and brand benchmarks. Row-level security enforced — no operator sees another's data. Designed for franchisee trust from day one.
Corporate Consolidated View
Executive leadership sees the full picture: top and bottom performers by region or brand, trend lines across the portfolio, and the aggregations that matter for board-level reporting.
Automated Rollups
Weekly or daily performance summaries, scorecards, and alerts delivered without manual extraction from any system. Regional managers coach with data instead of compiling it.
Scalable by Design
New locations onboard into the same data model without rebuilding the reports. Whether you are at 10 locations or heading toward 500, the architecture handles the growth.
Proven at Scale
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Locations unified for WKS Restaurant Group
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Data sources centralized for SweatHouz franchise
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Brands on a single analytics platform at WKS
$0M+
Supply chain optimization identified through consolidated data
Results in Practice
SweatHouz is a rapidly growing sauna and cold-plunge wellness franchise expanding across the United States. As the franchise scaled, headquarters and franchisees needed consistent operational reporting — but data was scattered across seven different sources with no unified view and no mechanism for franchisee self-service.
VisionWrights centralized data from all seven sources into a single governed reporting environment using Fivetran, Snowflake, and Tableau — with row-level security designed in from the start. Each franchisee now sees only their own location's performance. Corporate sees everything. The internal analytics team was coached to self-sufficiency, and new franchise locations onboard into the same platform without requiring new dashboards or manual access management.
Read the SweatHouz case study →
WKS Restaurant Group operates 380+ restaurants across 19 states, managing five brands — Wendy's, Denny's, El Pollo Loco, Krispy Kreme, and Blaze Pizza. Each brand ran its own systems with different data formats and metric definitions. VisionWrights built a cross-brand analytics platform that unified POS, HR, supply chain, and financial data — enabling corporate benchmarking while preserving brand-specific operational views. The consolidation surfaced more than $2M in supply chain optimization opportunities.
Related Reading
Hub-and-Spoke Reporting: One View Across Franchises, Subsidiaries, and Portfolio Companies
Franchisors, PE firms, and corporate parents all face the same challenge: creating a single pane of glass across distributed entities with different systems. A practical guide to the architecture.
Learn moreMulti-Location Analytics: What Franchise Operators Need
Operating 50, 200, or 600+ locations means operating with inconsistent data. Here's how franchise operators build analytics that actually scale.
Learn moreOperational Scorecards for SweatHouz
How VisionWrights built role-based dashboards and coached an internal analytics team for a growing wellness franchise — 7 data sources, row-level security, franchisee self-service.
Learn moreUnifying Cross-Brand Data for 380+ Locations
How WKS Restaurant Group unified POS, HR, supply chain, and financial data across five brands and 380+ locations — and surfaced $2M+ in supply chain optimization opportunities.
Learn moreRelated Industries
Tell Us About Your Franchise
Tell us how many locations you operate and what you cannot see across them. We will tell you what a unified data layer would look like for your franchise.