Sage 100 to Power BI, done for you
Sage 100 runs on your own server, so there is no click-to-connect button in Power BI. A senior US-based engineer sets up the ODBC path through your data gateway, models sales, inventory, AR and margin properly, and keeps the refresh alive. Prepaid hours, no contracts, most builds in 3–5 business days.
Representative dashboard — sample data
On-premises ERP, live reporting
Sage 100 is an on-premises ERP used mostly by manufacturers and distributors, and it holds far more than the finance team ever sees. Orders, shipments, item costs, receipts and job burn all sit in the same SQL-backed database, but they usually reach the business as a folder of exported spreadsheets. A Sage 100 Power BI dashboard replaces that folder with one live report on your actual ERP data: sales, inventory, AR and margin in a single place, modeled so the totals tie back to the books.
The honest reason this is a build and not a setup wizard: there is no first-party, click-to-connect Sage 100 connector in Power BI. Because the ERP lives on your own server rather than in a vendor cloud, the normal path is an ODBC connection surfaced to the Power BI service through an on-premises data gateway. That is a real piece of engineering — drivers, service accounts, firewall rules, query design and refresh scheduling — and it is exactly the part that stalls in-house attempts.
Reports we build from Sage 100
Buy a block of prepaid Flex hours and, if you're unhappy within the first 4 hours, we refund you in full — no questions asked. Hours are deducted only for work you've reviewed and approved, there's no project minimum, and your banked hours never expire.
Why teams pick us
You send the request; a senior engineer handles the gateway, the extraction and the model around your actual Sage 100 modules and company codes.
Most search results for this topic are ODBC driver documentation and middleware you are expected to wire up yourself. We are the opposite: your IT contact gives us access, and a senior engineer builds and maintains the whole path from the ERP server to the published report.
Sales orders versus shipments and backlog, margin by customer and item, inventory turns and dead stock, AR aging with a collections list, open purchase orders and late receipts, and job cost against estimate where Job Costing is switched on.
No pretending a native connector exists. We read Sage 100 over ODBC or SQL through an on-premises data gateway, or from a scheduled extract, and we write the confirmed method into your scope estimate before a single hour is spent.
One US-based engineer with 20+ years on the Microsoft platform builds it end to end — no offshore handoffs, and no junior guesswork on cost fields that drive your reported margin.
Buy a block of Flex hours, get a scope and hours estimate before any work, and hours deduct only for approved builds. No project minimum, no retainer, full refund inside the first 4 hours if you're unhappy.
A cloud accounting system hands you an API and a login. An on-premises ERP hands you a server, a driver and a firewall. Everything downstream — credentials, query performance, refresh reliability — follows from that difference, which is why this work is scoped as engineering rather than configuration.
In practice the build has three layers. First, access: a read-only route into the Sage 100 database, published so Microsoft's cloud service can reach a server that is not on the public internet. Second, shape: the raw tables are normalized for transaction processing, not analysis, so we build a proper star schema with conformed customer, item, vendor, warehouse and date dimensions instead of pointing a report at a wide query. Third, endurance: an on-prem source has more that can break than a cloud one, so the refresh has to be designed to survive credential rotations, server restarts and month-end load rather than merely work once on a laptop.
They share a brand and almost nothing else technically. Sage Intacct is cloud financials reached over a REST and Web Services API. Sage 100 is on-premises and SQL-backed, reached by ODBC or SQL through a gateway. Confusing the two is the most common reason a quoted integration goes sideways.
The consequences are practical. With Intacct, credentials are API keys and the refresh runs cloud-to-cloud with no gateway in the picture. With Sage 100, someone must own a Windows service on your network, and refresh windows have to respect the same server your order entry team is typing into. Report design also diverges: Intacct work leans toward multi-entity consolidation and dimension-tagged financials, while Sage 100 work leans toward operational depth — item-level margin, warehouse stock, order backlog. If you run Sage Intacct in the cloud instead, our Sage Intacct Power BI dashboard page covers that path. Larger manufacturers and distributors who moved up to Sage X3 have a third path again — folder-based schemas on SQL Server or Oracle, with several ledgers in one journal — covered on our Sage X3 Power BI dashboard page.
We report on the modules you actually license and use. The table below maps the common ones to the report they feed and the refresh pattern we normally design for each — full reload where the table is small or restated, incremental where the history is long and only recent rows change.
| Module | What the dashboard surfaces | Refresh pattern |
|---|---|---|
| General Ledger | Trial balance, P&L and balance-sheet trend by period, budget versus actual by account group | Full reload nightly; re-run on demand once a period close is posted |
| Accounts Receivable | Aging buckets by customer, DSO trend, invoices past terms, cash applied by day | Incremental on invoice and cash-receipt date; more frequent during collections week |
| Accounts Payable | Open payables by vendor and due date, discount capture, near-term cash requirement | Incremental nightly; full reload after a vendor or payment-terms change |
| Sales Orders | Booked versus shipped versus backlog, margin by customer, item and salesperson, fill rate | Incremental several times a day on order and ship date |
| Inventory | On-hand and available by warehouse, turns, days of supply, slow-moving and dead stock | Nightly reload at item and warehouse grain, with a snapshot row appended per night |
| Purchasing / Receiving | Open purchase orders, late receipts by vendor, cost variance, receipt-to-stock lag | Incremental nightly on PO date and receipt date |
| Job Costing / Work Orders | Cost to date versus estimate by job, work-in-progress, labor and material burn, open work orders | Incremental nightly where the module is enabled; full reload when jobs are re-estimated |
| Bank | Cleared versus book balance, cash position by account, unreconciled gaps | Full reload nightly, scheduled after the bank import completes |
Through ODBC, published to the Power BI service by an on-premises data gateway. The gateway is the piece that lets a cloud report refresh against a server sitting inside your network, and getting it right is most of the difference between a dashboard that lives and one that goes stale in a fortnight.
The sequence is straightforward once someone owns it. Your IT contact provisions read-only access to the Sage 100 database and confirms which ODBC driver the installed edition uses. We register a gateway to your tenant — or reuse the one you already run — map the data source onto it, store the credentials at the gateway rather than in the report, and then prove a scheduled refresh completes from the service, not just from a desktop file. Microsoft's documentation on the on-premises data gateway(opens in new tab) describes the architecture, and if your team wants to understand the moving parts before we start, our walkthrough of how to set up a Power BI gateway covers the same ground in plain language.
Where a direct ODBC path is blocked — an old driver, a locked-down server, or query load that would compete with order entry — we land a scheduled extract into a database Power BI can read and report from that instead. Either way the method is decided during scoping and written down, not discovered halfway through the build.
You buy prepaid Flex hours that never expire: Starter 20 hours at $125/hour ($2,500), Growth 40 hours at $115/hour ($4,600), or Power 80 hours at $100/hour ($8,000). A first Sage 100 dashboard, including the gateway work, typically fits inside one block.
There is no project minimum and no retainer — you refill only when you want more work done. You buy a block, send your request, and we reply with a scope and hours estimate before anything starts; hours deduct only for builds you have approved. If the gateway turns out to be more involved than expected, you hear that in the estimate rather than in an invoice. Read how prepaid Flex hours work for the full mechanics; this page stays focused on the ERP build itself.
Most builds ship in 3–5 business days after you approve the scope estimate, senior-led from start to finish. The variable is access: if a gateway already exists and credentials are ready, work starts immediately; if not, provisioning is usually the longest single step.
Once live, the dataset refreshes on a schedule through the gateway so nobody re-exports anything by hand. We tune the cadence to how the data actually moves — sales and inventory more often through the working day, general ledger and bank overnight after the batch work completes. We monitor those refreshes and repair them from your banked hours, which matters more with an on-premises source than a cloud one, because a rebooted server or a rotated service password will stop a refresh without warning.
Manufacturers and distributors running Sage 100 who have no in-house BI team, and whose reporting currently depends on one person exporting from the ERP each Monday. If that person is on vacation, the numbers stop — that is the pattern this build removes.
On the distribution side the questions are stock and service: turns, fill rate, dead inventory and customer-level margin, the same metric set we cover on our Power BI for wholesale distributors page. On the manufacturing side it is production and cost flow, with work-order and job-costing depth, which we go into further on Power BI for manufacturing and logistics. It also fits an accounting firm serving Sage 100 clients that needs a repeatable, presentable pack rather than another spreadsheet template. Contact is form-only — send your request and we'll reply with a scope estimate.
business days, typical
hours, never expire
own everything
A first ERP dashboard usually fits inside one Flex block, and hours deduct only for work you approve. See Flex pricing →
How it works
Tell us which modules you run, how many companies are on the system, and the reports you need. We reply with a scope and hours estimate that names the confirmed connection method, before any work begins.
A senior US-based engineer sets up the gateway and ODBC source with your IT contact, builds the semantic model and DAX over your live tables, and reconciles totals against the ERP — most focused builds in 3–5 business days.
We publish to your workspace, set the refresh schedule per module, and hand over the report and credentials. You own everything, and we keep the refresh healthy from your banked hours.
Tell us which Sage 100 modules you run and the reports you need. We'll scope the task — including the connection and gateway work — and tell you the hours before anything begins, drawn from prepaid Flex hours that never expire, with no project minimums and no obligation.
FAQ
Sage 100 has no click-to-connect Power BI connector. Because the ERP is on-premises and SQL-backed, the practical path is an ODBC connection published through an on-premises data gateway, or a scheduled extract into a database Power BI can read. We confirm which one your edition, drivers and network actually allow in the scope estimate, before any hours are used.
Yes, because the data paths are genuinely different. Sage Intacct is cloud financials reached through its REST and Web Services API. Sage 100 is on-premises and SQL-backed, reached by ODBC or SQL through a gateway. The finished reports can look similar, but the extraction, credential handling and refresh design behind them are not the same job.
Yes. We work with your IT contact to install or configure the on-premises data gateway, register it to your Power BI tenant, map the Sage 100 ODBC data source to it, and prove a scheduled refresh runs end to end. If a gateway already exists we use it rather than adding another, and gateway upkeep comes out of your banked hours.
Most first builds cover three things: sales and margin from Sales Orders, stock position and turns from Inventory, and aging from Accounts Receivable. That is enough to retire the recurring spreadsheet exports without turning the engagement into a long project. General Ledger, purchasing and job costing views get added once the first set is trusted.
We do, from the same prepaid hours. A gateway restart, a rotated service credential, a server move or a new module can each break a refresh, and an on-premises source has more moving parts than a cloud one. You own the workspace and the report file; we monitor the refresh, repair it, and adjust the model as your ERP setup changes.
Book a free demo
Tell us the task. We scope it, you approve, and a senior consultant delivers — typically in 3–5 business days. Prepaid hours that never expire.
The fastest way to reach us is the form — tell us the task and we'll reply within one business day.