Your data stays on your server
The warehouse runs on a server you control, not in someone else’s analytics cloud.
NextBI · Business intelligence & analytics
See the whole business in one place.
NextBI, our own BI platform, loads your ERP data into a warehouse on your own server every morning, and gives your team dashboards, reports, Excel exports and plain-language answers in a web browser. A retail group replaced its Power BI with it. Built by people who implement SAP for a living.
Client work
A retail group replaced its Power BI with NextBI.
A retail group running SAP moved its reporting off Power BI and onto NextBI. We rebuilt the Power BI reports they relied on, and their team checked the figures against SAP and against the old reports. Then we went further: replenishment and transfer plans, product photos beside each item, and Ask AI. References are available on request.
- Sales, sell-through, inventory and markdown reports
- Replenishment and store-to-store transfer plans
- Excel and CSV exports
- Ask AI, in the portal, ChatGPT and Claude
Why NextBI
Why not just Power BI?
Fresh every morning, on its own
The ERP’s nightly export is loaded as soon as it lands. Reports switch to the new day all at once, so nobody sees a half-loaded day.
Plans, not just charts
Replenishment shows what each store received, sold and pulled out, week by week. Transfer plans pair stores holding surplus stock with stores that need it.
Ask in plain language
Ask AI answers questions from the reports, in the portal or from ChatGPT and Claude. Each person signs in with their own account, and it can only read.
Exports that finish
Every report goes to Excel or CSV. Large exports stream and are compressed, so files of hundreds of thousands of rows get through.
No Power BI licences
Your team uses it in a web browser, with their own saved columns and charts. Your admins decide who sees what, by role.
How it works
From last night’s ERP data to this morning’s dashboard.
- Load
Nightly ERP feed
The ERP’s daily export is picked up as soon as it lands. Each table and day loads in one step and every file is recorded, so a failed load leaves nothing half-done.
- Model
PostgreSQL warehouse
Raw ERP tables become report-ready tables. The last 90 days are recalculated every night, so late and back-dated invoices are caught.
- Serve
DuckDB analytics engine
Reports are answered by an engine built for analytics. The new day swaps in all at once, and repeat views come straight from cache.
- Use
Web portal and Ask AI
Dashboards, reports, Excel and CSV exports, and Ask AI. Admins manage users and roles and can watch each night’s load step by step.
In production for the retail group, on their own server.
What we deliver
Dashboards, data and reporting, end to end.
NextBI
Dashboards, reports, exports and Ask AI in a web browser, running on your own server.
- Web dashboards and reports
- Excel and CSV exports
- Ask AI in plain language
Data warehouse and pipelines
Data from your ERP, accounting system, POS, payroll and spreadsheets brought into one reporting database, cleaned and kept current.
- Automated nightly loads
- One reporting warehouse
- One version of each number
Financial and management reporting
The reports finance builds by hand every month, built once and refreshed automatically.
- Profit and loss, cash and margin
- Budget against actual
- Month-end management packs
Sales, inventory and operations analytics
Where revenue comes from, where stock sits, and what to replenish or move between stores.
- Sales by branch, product and customer
- Sell-through and markdowns
- Replenishment and transfer plans
BI consulting and custom reporting
Help deciding what to measure, how to model it, and how your team keeps it running.
- KPI definitions and data models
- Custom and enterprise reports
- Decision support for leadership
Power BI, if you prefer it
Already standardised on Microsoft? We still build Power BI dashboards and reports.
- Power BI dashboards
- On web and mobile
- Needs Microsoft licences
Who it is for
What each reader gets.
- CEO and business owner
- Sales, sell-through, stock and markdowns for every branch on one dashboard, refreshed each morning.
- CFO
- Profit and loss, cash flow, budget against actual and margin by product, reconciled to the ledger.
- COO
- Stock by store, what each store received and sold each week, and where to move stock before it runs out.
- Merchandising and planning
- Sell-through by product, store and channel, with product photos, and how markdowns are performing.
- Finance and analysts
- Any report exported to Excel, and quick answers from Ask AI without waiting for a new report.
How an engagement runs
From your data to a dashboard people use.
Data assessment
We look at the systems you run and the questions leadership needs answered, and tell you what is possible with the data you have.
Warehouse and loads
We set up the warehouse, connect your ERP’s daily export, agree how each KPI is calculated, and automate the refresh.
Dashboards and reports
We set up the dashboards and reports on your data, review them with the people who will use them, and adjust. If you prefer Power BI, we build there instead.
Handover
We train your team and document how everything works, or keep supporting it if you would rather we did.
Questions
Before you book.
Do we need Power BI? +
No. NextBI has its own dashboards, reports and exports and runs in a web browser, so no Power BI licences are needed. If your company has standardised on Power BI, we can build there instead; sharing Power BI dashboards inside a company needs Microsoft licences.
Where is our data stored? +
In the warehouse, on a server you control. Ask AI is optional: when it is on, each question and the report figures needed to answer it are sent to the AI provider to write the answer.
Do you only work with Nextcore products? +
No. We work with the systems you already run, including SAP, other ERPs and accounting systems, POS exports and spreadsheets. Nextcore products simply make the data easier to reach.
What does it cost? +
It depends on how many data sources and dashboards are involved, so we quote after the data assessment, in writing.