HEALTHCARE · MULTI-FACILITY OPERATIONS · JDE ENTERPRISEONE 9.1 · MICROSOFT POWER BI

Power BI on JDE. Live in one week.

A US specialty healthcare provider — JDE EnterpriseOne 9.1 across multiple facilities — was assembling operational reports manually from spreadsheet extracts. Allari®'s Business Intelligence team modeled the JDE data once and deployed Power BI on top: first dashboard live in one week, eight production lines unified, report wait time eliminated. See methodology.

SECTOR: Healthcare · PLATFORM: JDE 9.1 + Power BI · DELIVERY: 1 week to first dashboard · COVERAGE: 8 production lines

Diagnosis

JDE was stable. The reporting layer was not.

The US specialty healthcare provider operates JDE EnterpriseOne 9.1 across multiple facilities — a post-go-live environment with a functioning ERP and a broken operational reporting posture. After implementation, recurring reports required analysts to extract JDE data, manually join it with per-facility spreadsheets, reconcile discrepancies between line-owned versions, and distribute the result on a daily or weekly cadence.

Each of the eight production lines carried its own rollup, owned by different people, on different cadences. There was no single operational picture. Executive visibility depended on whoever last assembled the spreadsheet. Audit-readiness was fragile — the numbers could not be traced back to a single governed source.

The core diagnostic: the JDE data was healthy. The reporting shape was wrong. More JDE reports would only produce more tickets. The problem required a structural change to how the data was modeled and consumed — not more of what already wasn't working.

Intervention

One data model. Power BI on top. First dashboard in one week.

Allari's Business Intelligence team connected directly into the JDE EnterpriseOne 9.1 data layer and built a single, curated reporting model — conformed dimensions, governed refresh cadence, one source of truth across all eight production lines. Microsoft Power BI was deployed on top of that model.

The first production dashboard was live in one week. From that point forward, each new operational question became a filter or drill-down on the existing model — not a new report request, not a new ticket, not a new wait cycle. The manual extract-and-assemble ritual was retired across all eight lines simultaneously.

Stack deployed

• JD Edwards EnterpriseOne 9.1 (data source)
• Curated SQL reporting model (single governed layer)
• Microsoft Power BI (operational dashboards)
• Conformed dimensions across 8 production lines

Structural changes

• Single data model retired eight per-line spreadsheets
• Executive dashboards replaced manual distribution cycles
• Audit trail traces to governed JDE source — not assembled extracts
• New questions answered by the model — not new tickets

Verified Outcomes

What the healthcare provider gained

1 week

First production-quality Power BI dashboard live from engagement start

Zero

Operational questions answered via live dashboard — not manual extract cycles

8

Production lines consolidated under a single governed Power BI data model

Governed

All reporting traces to a single JDE source — eliminating reconciliation risk

Beyond the Dashboards

What the Healthcare Provider Keeps

EXECUTIVE VISIBILITY

Multi-facility operational KPIs visible in real time — without waiting for a report to be assembled, distributed, or reconciled. Leadership makes decisions on current data, not yesterday's spreadsheet.

AUDIT-READY REPORTING

Every dashboard traces back to the governed JDE data model. Numbers are consistent, sourced, and defensible — removing the reconciliation risk that existed when each facility maintained its own extract.

STRUCTURAL FLEXIBILITY

New operational questions are answered by the existing model — not by opening new tickets. The healthcare provider can adapt reporting to new facilities or regulatory requirements without re-engaging the BI team for each change.

How These Outcomes Were Measured

Methodology

Delivery timeline

Time-to-first-dashboard measured from engagement start to first production Power BI dashboard in operational use. Verified against Allari's internal project record. Result: one week.

Report wait time

Prior state: recurring operational reports required manual extraction from JDE, join with per-facility spreadsheets, reconciliation, and distribution — a daily or weekly cycle measured in analyst-hours. Post-implementation state: operational questions answered via live Power BI dashboard. Wait time: zero.

Production lines unified

Eight production lines previously tracked through separate, per-line spreadsheet rollups. Post-implementation: all eight lines consolidated under a single Power BI model with conformed dimensions sourced from JDE.

Audit posture

Prior state: reporting numbers could not be traced back to a single governed source — each facility's numbers were assembled independently. Post-implementation: all reporting derived from the JDE data layer through a single governed model. Consistent, sourced, defensible.

Caveats

Single engagement at one US specialty healthcare provider running JDE EnterpriseOne 9.1 across multi-facility operations. Historical engagement; Microsoft's BI tooling has since been consolidated under the Power BI brand. Full engagement details available under NDA on request.

Source Control & Provenance

Client identity withheld at customer request. Engagement details, metrics, and outcomes verified against Allari's internal ticket database and customer-cleared reporting. Methodology and supporting evidence available under NDA on request. Published: 2024-06-01. Last updated: 2026-05-22.

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