VaultData · by VisiVault
Turn data into better decisions
VaultData helps organizations transform complex data into clear insights, intelligent dashboards, and better business decisions. It's the original analytics practice behind VisiVault, now operating as one division within a broader technology ecosystem.
Data sources
0 connected
Refresh
Automated
Data Visualization
Dashboards that turn dense data into decisions at a glance.
We design custom dashboards and reports that surface the metrics that actually move your business — built for the people who use them, not just the data behind them.
- Executive and operational dashboards
- Interactive reporting for non-technical teams
- Automated, always-current data refreshes
Predictive Analytics
Forecast demand, risk, and revenue before they happen.
Using statistical models and machine learning, we help you anticipate what's next — from demand and churn to revenue and risk — so decisions are proactive, not reactive.
- Demand and revenue forecasting
- Risk and anomaly detection models
- Ongoing model monitoring and tuning
Data Strategy Consulting
A data strategy built around how your team actually works.
Whether you're formalizing a first data strategy or fixing a broken one, our consultants work alongside your team to set priorities, close gaps, and implement changes that stick.
- Data strategy and roadmap design
- Process and workflow audits
- Tool and vendor selection guidance
Data Integration
One accurate, unified view — no more spreadsheet silos.
We connect the systems your business already runs on — POS, CRM, booking, finance — into a single reliable source of truth, so every team is working from the same numbers.
- Multi-source ETL/ELT pipelines
- Data cleaning and validation
- Warehouse and API integrations
Business Intelligence
Raw data, structured into decisions.
We build the BI layer that connects your data to your strategy — defining the right KPIs, surfacing hidden patterns, and giving leadership a clear view of performance.
- KPI framework design
- Self-serve BI tooling setup
- Trend and pattern analysis
Staff Training
Teams that can read, question, and act on their own data.
Dashboards only pay off when people use them well. We run tailored training so your team is confident working in your analytics platforms day to day, not just on launch day.
- Hands-on platform training
- Custom playbooks and documentation
- Ongoing office hours and support
Case studies
VaultData demonstration projects, built end to end
Working, deployed and open-source applications built on synthetic data for realistic fictional businesses — the same approach we bring to your data.
VaultData Business Intelligence Dashboard
From business data to actionable decisions.
An interactive analytics solution demonstrating how businesses can transform operational data into actionable intelligence through visualization, customer segmentation, forecasting, and predictive analytics.
- Executive KPIs with period-over-period revenue growth
- Transaction-level customer segmentation (k-means, silhouette-validated)
- Holt-Winters revenue forecasting with a time-ordered holdout validation (MAE/RMSE/MAPE)
- Illustrative inventory demand outlook with stockout/overstock risk flags
- Automated data-quality checks and a recommendations engine driven by the live data
Prairie Pulse E-Bikes Retail Analytics
Seasonal retail, forecast, stocked and financed to match.
An end-to-end analytics proof of concept for a fictional Calgary electric-bike retailer: a validated relational database, five predictive models, a double-entry financial module and a 17-page executive dashboard covering sales, margin, inventory, customers, the service workshop, three-statement financials and a 12-month financial forecast. Built on synthetic data anchored to real public e-bike prices and real Calgary weather; every financial figure is simulated.
- Validated SQLite model with 30 automated integrity and reconciliation checks
- Prophet, SARIMA and XGBoost forecasts compared on leakage-safe time-based backtests
- Seasonal reorder points tested in an out-of-sample replay against a flat stocking policy
- Simulated double-entry accounts: ~19,900 balanced journal entries, monthly trial balances and AR/AP sub-ledgers
- Income statement, balance sheet and cash flow that reconcile every month, with ratio and working-capital analysis
- Driver-based 12-month financial forecast with scenarios, sensitivities and a live-formula Excel model
Prairie Home Furnishings Analytics
Custom orders, deposits and design consultations, tracked from showroom to hand-off.
An end-to-end analytics proof of concept for a fictional Calgary furniture retailer selling stocked and made-to-order furniture: a validated relational database, demand forecasting, a double-entry financial module and a 14-page executive dashboard covering sales, product profitability, inventory, custom-order tracking, supplier performance, customers, design consultations, three-statement financials and a 12-month scenario forecast. Built entirely on synthetic data; every figure is illustrative.
- Validated SQLite model with 30 automated data-integrity checks and 11 financial reconciliation checks
- Custom-order tracker following deposits, supplier ETAs, promised dates and balances due before pickup
- Customer deposits held as contract liabilities, with revenue recognised at hand-off
- SARIMAX, XGBoost and seasonal-naive forecasts compared on time-based backtests
- Design-consultation analytics linking follow-up cadence and designer to conversion and order value
- Integrated 12-month forecast and scenario simulator, matched by a live-formula Excel model
Prairie Auto Care Analytics
Collision repair and car care across three branches, from first call to insurer payment.
An end-to-end analytics proof of concept for a fictional multi-location Calgary collision repair and car care group: a simulated repair workflow of about 25,000 repair orders, a double-entry financial model with work in progress and insurer direct billing, six predictive models and a 15-page dashboard covering job profitability, technician productivity, cycle times, parts, suppliers, insurance claims, branch comparison, three-statement financials and a capacity-aware 12-month forecast. Built on synthetic data with real Calgary weather; every figure is illustrative.
- Repair workflow simulated end to end: estimate, insurer approval, parts, technician scheduling, quality control, delivery and payment
- Job costing per repair order, with fully loaded profit and warranty rework traced back to the original job
- Technician utilisation, efficiency and productivity kept distinct, with fair comparisons adjusted for job mix and role
- Cycle-time bottleneck analysis, with model-estimated completion dates for open repairs
- Branch P&Ls with interbranch eliminations that sum exactly to the consolidated statements
- Capacity-constrained 12-month forecast and scenario simulator, matched by a live-formula Excel model
See it in action
Try a live VaultData dashboard
This is a simplified, interactive preview of the kind of dashboard we build — filter it below.
Total bookings
143
vs previous period
+4.2%
Not sure where to start?
We'll help you find the right entry point
Most engagements start with a short discovery call — we'll look at what data you already have and recommend the service that gets you the fastest win.
Start Your Data Project
Book a free 30-minute consultation and we'll map out where to start.