| Region | Status | Orders | Revenue | Δ % |
|---|---|---|---|---|
| West | Failed | 1,247 | $84,320 | -34.2% |
| West | Failed | 892 | $61,208 | -41.7% |
| East | Completed | 3,441 | $231,560 | +2.1% |
| North | Completed | 2,108 | $148,920 | +0.8% |
| South | Failed | 431 | $28,440 | -12.3% |
| TOTAL | 8,119 | $554,448 | -8.6% |
When a business-critical issue hits at 10 AM on a Tuesday, nobody looks at a donut chart. Learn how to use Microsoft Excel to perform rapid, ad-hoc data analysis on up to a million rows—and actually find the answers your business needs.
Dashboards are backward-looking. They answer the questions you already knew to ask. But business crises are messy, unpredictable, and multi-dimensional.
By the time you request IT to build a new dashboard tile to investigate an anomaly, the bleeding has already started.
You don't need a decorated report. You need a forensic investigation.
For up to 1,048,576 rows of data, complex BI tools often slow you down. Excel provides a zero-latency environment where you can blend raw data aggregation with the "dirty math" of custom formulas instantly.
How to slice data 5 times in 30 seconds to find the "break" in your metrics.
Why XLOOKUP, SUMIFS, and IF(AND...) outclass traditional BI tools when the stakes are high.
How to use Power Query to build a repeatable, refreshable data model without writing VBA.
See exactly how a 48-hour checkout crash was solved in an hour using raw Excel forensics.
Business Analyst
Surfing through the trenches of corporate data. Armed with an MBA in Business Analytics and Finance, Ayush specializes in cutting through "dashboard theater" to build rapid, actionable solutions for critical business problems. He relies on raw, speed-to-insight methodologies to find the answers that traditional reporting often misses.