Restaurant businesses generate data continuously, but much of it remains separated between point-of-sale systems, scheduling tools, accounting platforms, reservation software and food delivery marketplaces.
Our restaurant data analytics services bring those sources together so leadership can analyze revenue, margins, food costs, labour, discounts, covers, delivery performance and customer behaviour from the same set of numbers. We’ve built restaurant analytics dashboards for independent restaurants, hotel food-and-beverage departments, and multi-site restaurant groups.
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As a top data analytics consultancy, our restaurant data analytics service does the joining of data from different sources for you. We build the data model around how your business actually trades, so every page of the dashboard agrees with every other page and the numbers match the words your team already uses. You get the flexibility of a custom build without needing an in-house data team, and you own the dashboard, the model and the documentation at the end.
We design restaurant KPI dashboards in Power BI, Tableau or Looker Studio that put covers, spend per head, staff cost, discounts, margins and delivery performance on one screen. Front-page KPIs give you a thirty-second read, and drill-downs take you from a headline number to the specific site, shift, channel or menu category behind it.
Restaurant POS data is where most of the value sits, so we start there and build outwards. Wherever a system offers an API, we use it, so data flows automatically rather than through manual exports. Our data connectors bring together POS platforms, booking tools, rota and payroll systems, DoorDash, Uber Eats, Grubhub and Deliveroo feeds, and finance software such as Sage, QuickBooks and Xero.
Our data visualization agency helps you design and implement automated reporting systems that eliminate manual data extraction and transformation. By integrating directly to your data sources and analytics platforms, we ensure that reports are refreshed and delivered automatically to key stakeholders. This approach guarantees that every department has accurate, up-to-date information without waiting on analysts or monthly reporting cycles.
Compare staffing levels with actual restaurant demand. We build labour dashboards that show labor cost as a percentage of revenue, staffing by hour or service period, revenue per labor hour and trends across locations.
In one Vidi Corp restaurant analytics project, hourly order analysis identified periods where two employees were rostered for a service period with insufficient demand to justify both. Connecting rota data with sales makes these mismatches visible before they become recurring margin leakage.





Stop waiting until the next weekly meeting or month-end report to understand what happened.
Automated restaurant performance analytics give managers current visibility into sales, staffing, delivery, discounts and margins, making it possible to address a weak service period or underperforming location while there is still time to influence the result.
A busy restaurant can still be an unprofitable restaurant. Combining sales with food costs, labor, discounts and delivery commissions provides a more complete view of the quality of revenue. Management can focus on the operational drivers actually affecting profit rather than relying on sales growth as the primary measure of success.
Managers perform better when expectations are visible and consistently measured.
Restaurant analytics create a shared performance framework across operations, finance and leadership, making weekly trading conversations more focused on action and less focused on reconciling conflicting reports.
We work alongside your team from strategy through to execution: designing, building and fine-tuning your data visualisation setup. That means making sure your data projects actually serve your business goals, then delivering dashboards and workflows that scale and fit the way your people already work.
Our structured process ensures successful solution delivery that aligns with your business objectives while maximizing return on investment.
Discovery and KPI Mapping
We start by understanding the decisions your management team needs to make.
That includes your restaurant locations, reporting structure, POS environment, staffing systems, delivery channels, finance platforms and current reporting challenges. We then define the KPIs and drilldowns that will provide the greatest operational value.
Data Source Audit
Next, we identify where each required metric currently lives and evaluate the available connection methods.
This phase identifies data quality issues, inconsistent definitions and system limitations early, before they affect the reporting build.
Restaurant Data Integration
We connect your source systems using APIs, databases, existing connectors or automated file ingestion.
Where required, the data can be centralized in a structured database or data warehouse so your reporting environment is scalable and no longer dependent on manual exports.
Data Modeling and KPI Development
Before building visuals, we create a consistent reporting model.
Locations, dates, channels, products, revenue classifications and KPI logic are defined centrally so numbers remain consistent throughout the dashboard.
Dashboard Design and Development
We design executive views for rapid performance monitoring and detailed pages for deeper restaurant data analysis.
The objective is to make important exceptions easy to identify while still allowing users to drill into individual locations, periods, channels or operational drivers.
Restaurant data analytics is the process of collecting and analyzing operational, financial, sales and customer data to support better restaurant decisions.
It commonly combines data from POS systems, delivery marketplaces, accounting software, staffing platforms, reservations and marketing channels so management can understand how revenue, costs, demand and customer behavior interact.
Restaurant data analytics services can include data integration, KPI definition, database or warehouse development, automated reporting, dashboard development and ongoing analytics support.
At Vidi Corp, the scope is designed around your existing systems and the business questions your managers need the data to answer.
The most important KPIs depend on your restaurant model, but common metrics include revenue, covers, table occupancy, table turn rate, average spend per head, labor cost percentage, food cost, prime cost, gross margin, delivery versus in-house sales and discounts.
Multi-location groups should also compare these measures consistently by restaurant, brand, region and time period.
Yes. Multi-location restaurant analytics is one of the strongest use cases for centralized BI.
We can consolidate location data into one group-level dashboard while still allowing regional managers and restaurant leaders to drill down into individual sites.
Yes, provided the POS platform offers an accessible API, database, export or other supported method for retrieving the required data.
We assess the available connection options during discovery and recommend an architecture appropriate for the required refresh frequency and reporting volume.
Yes. Delivery analytics can combine data from platforms such as Uber Eats, DoorDash, Grubhub and Deliveroo with your internal restaurant reporting.
Depending on the platform and account configuration, the data can be obtained using available APIs or structured exports and incorporated alongside your POS and financial data.