Slide 1 — The Gap
Amazon delivers to your customer's door in 2 hours. Your operator still needs 2 days just to confirm the order.
Amazon
2 hrs
Order placed → product at the door. Real-time fulfillment intelligence operating at millisecond speed.
Your operation today
2 days+
Operator asks a question → 9 manual steps → manager receives an email → data is already stale.
That gap is not a strategy problem. It is an analytics problem. For 40+ years, BI and AI were built for the boardroom and ignored the more than 75% of the workforce actually executing operations.
Slide 2 — The 40-Year Gap
40+ years of BI and AI — and 75% of your workforce was left out
Enterprise analytics was designed from the top down. Leadership gets consultants. Management gets IT-built reports. Operators — the people executing purchase orders, resolving invoice exceptions, managing inventory in real time — get nothing. And yet operators are more than 75% of your SAP user base, with the shortest window to act: hours to minutes, not months.
Leadership (<5% of users): Big picture, strategic, months to act. Served by consultants and IT.
Management (<20% of users): Tactical, objective-driven, days to act. Served by data analysts.
Operators (>75% of users): Execution, time-critical, hours to minutes to act. Zero analytics support. Zero.
Slide 3 — The 9 Steps
9 steps your operator takes just to confirm one order — before any action is possible
Every step is manual. Every step adds delay. This happens dozens of times a day across your operation.
- Step 1 — Launch SAPGUI: +3 min. Desktop only.
- Step 2 — Log on to SAP: +2 min. Requires remembering T-codes.
- Step 3 — Find and run the right report: +10 min. Hundreds of reports, no search.
- Step 4 — Download to Excel: +5 min. Data already stale at extraction.
- Step 5 — Clean and massage data: +30 min. Error-prone, repeated daily.
- Step 6 — Import to Power BI or Tableau: +15 min. No live connection, breaks often.
- Step 7 — Export to PowerPoint: +20 min. Screenshots go stale instantly.
- Step 8 — Email PPT to manager: +wait. Version confusion, no context.
- Step 9 — Action — finally: Too late. The window to act has closed.
Total delay before any action: 2+ hours — or 2 days if it waits for tomorrow's meeting.
People@Work replaces all 8 steps with: Open app → See insight → Tap to act in SAP. Under 60 seconds.
Slide 4 — Three Pillars
Three reasons operators actually use People@Work
Pillar 1 — Built for the person doing the work. 150+ pre-built operator views for Procure-to-Pay, Order-to-Cash, and Financials. Not dashboards for a VP — answers for the buyer at their desk. Mobile-first. No training required. Works on any device, anywhere. Think Netflix for analytics: browse, click, use.
Pillar 2 — Insight to action in one tap. Every insight links directly back to the SAP transaction behind it. Tap a purchase order exception — SAP opens with the PO pre-loaded. No export, no email, no switching between systems. The operator acts in the same motion as the insight.
Pillar 3 — Live SAP data. AI that doesn't hallucinate your supply chain. Powered by USB4SAP's 1.3M+ SAP-certified semantic models — not guesses, not stale exports, not overnight batch. Natural language queries grounded in your actual SAP data. AI insights that surface what you didn't think to ask.
Slide 5 — 150+ Analytics
150+ ready-for-business operator analytics across every major SAP process
Procure-to-Pay (P2P): PO aging, vendor performance, invoice matching exceptions, three-way match failures, contract spend vs. budget. Answers: "Which POs are stuck at approval?" / "Which vendors deliver late?" / "Which invoices failed three-way match?"
Order-to-Cash (O2C): Order backlog, customer payment overdue, sales order aging by stage, credit block analysis, delivery performance by route. Answers: "Which orders are blocked on credit?" / "Which customers have overdue payments?"
Material Management (MM): Slow-moving inventory, stock-out risk, material movement analysis, ABC value analysis, reorder point exceptions. Answers: "Which materials haven't moved in 90 days?" / "Which materials are below reorder point?"
Financials (FI/CO): Open items by aging, cost centre variance, GL account reconciliation, intercompany reconciliation, budget vs. actual. Answers: "Which GL accounts don't reconcile?" / "Which cost centres exceed budget?"
Slide 6 — Customer Results
Modenik Lifestyle: 2-week delivery, 40% cost saving, 35% DSO reduction
India's #2 innerwear manufacturer (Advent International PE, US$89B AUM). Post go-live with S/4HANA, operations managed order fulfillment via SAC/ALV, Fiori, and SQL-based reports — with no live signal and a 9-step workflow for every question. People@Work, powered by USB4SAP with Microsoft Power BI, delivered live sales, order fulfillment, and inventory dashboards in 2 weeks — versus 4 months quoted by the internal dev team. Days Sales Outstanding dropped 35%.
"CIO team deliver insights to finance, order fulfillment and other business operations using USB4SAP, without huge IT budgets & lengthy projects." — Suryanarayana GV, CIO, Modenik Lifestyle