Which number is the right one?
Every department has its own Excel file and its own sales or margin figure. Meetings are spent debating the data instead of making decisions.
Retail Data Platform
One version of the truth for your business data, ready for analytics.
We integrate your ERP and your other sources into a governed data platform, with explicit business rules and reconciled figures. Ready for Power BI, Tableau, or retana, and prepared for the next step: predictive analytics and artificial intelligence.
The challenges it solves
You know how much you sell, but not how much you make.
Costs, supplier rebates and allowances, and expenses live in accounting, separate from sales. Without bringing them together, you can't see true profitability by store, category, supplier, and item.
Your ERP isn't built for analysis.
Heavy queries compete with day-to-day operations, and executive reports take days to put together.
The rules live in someone's head.
Allocations and margin calculations depend on spreadsheets and on one person. When that person is out, no one knows how the number was calculated.
You want AI, but your data isn't ready.
Demand forecasting, replenishment, or intelligent assistants need reliable, integrated data with a clear meaning. Without that foundation, AI only automates the mess.
What's included
ERP integration with no risk to operations
Automated, read-only extraction, without exposing your ERP to the internet. Sales and inventory refresh daily; accounting data comes in at each month-end close. If something changes at the source, only the affected period is reprocessed.
A retail data model, independent of your ERP
Sales, items, merchandise hierarchies, stores, suppliers, inventory, and accounting in one model with standard names and definitions. If you change systems or add channels tomorrow, your analytics doesn't have to be rebuilt.
Profitability down to store and item
Costs, supplier rebates and discounts, other income, and operating expenses are allocated down to store and item level with explicit, documented, and auditable rules. Accounting records by legal entity; the platform measures the business where money is made or lost: in each store.
Figures reconciled to accounting
Every figure is reconciled against the ERP and accounting, layer by layer, within tolerances agreed with Finance. Margin isn't debated: it's looked up.
Certified KPIs, one definition
Net sales, gross margin, profit, comparisons against the prior month and prior year, and percentages of each store's or company's sales, defined once. Power BI, Tableau, and retana show exactly the same figures.
Visible, governed operations
A log of every load, a notice showing how current the data is, business parameters your team maintains without programming, and access through your company's corporate identity.
From seeing what happened to recommending what to do
Identify stars, traffic drivers, hidden gems, and low-performing items. Then scale toward prediction, recommendation, and automation.
DescriptiveSee what happened
Sales, tickets, units, clients, margin, operating profitability, inventory turnover, promotions, cashier efficiency.
DiagnosticUnderstand why
Margin drivers, price behavior, product mix, promotion effectiveness, benchmark analysis, cannibalization.
PredictiveAnticipate what is next
Demand forecasts, stock targets, stockout risk, future sales, saturation, and promotion impact.
PrescriptiveRecommend action
Replenishment, pricing, product allocation, automatic purchase suggestions, and commercial execution.
How it fits with your tools
The Retail Data Platform is the foundation: it integrates the data, applies the rules, and certifies the metrics. On top of it, everyone works with the tool that suits them:
- Power BI or Tableau, for analysts who build dashboards and metrics.
- retana, to bring that same information to the entire organization, to your stores, and to your suppliers, at a lower cost per user.
How we work
Cadence: each phase is delivered in 3–4 week sprints. At the end of each sprint there's a stabilization period to validate the figures with the business and secure adoption before moving forward.
01Foundations
We define with the business what is "official": KPIs, rules, and hierarchies. We analyze the sources and design the architecture and the data model. Before anything is built, we remove the ambiguities that later cost rework.
02Sales & Inventory
The first complete end-to-end flow, from the ERP to the dashboards. Sales are reconciled against the ERP, and inventory is visible by item and store. It's the reliable foundation everything else is built on.
03Profitability
Costs, supplier rebates, and expenses allocated with explicit, auditable rules, all the way to margin and profit by store, category, supplier, and item. Every rule is validated with Finance before it's published.
04Evolution
New sources, metrics, and capabilities are added on the same platform: demand forecasting, replenishment, pricing, and AI. All without redesigning what's already built.
For your IT team: layered architecture, hybrid and cloud deployment options, reference stack, and standards.
Explore the technical architecture →Are your numbers debated more than they're used?
Let's build the data foundation your retail business needs to decide today and take advantage of AI tomorrow.