When accuracy feels perfect, your model is already lying. The Hidden Trap in FP&A Data Accuracy Finance leaders pride themselves on precision.Every formula checks out. Every cell ties. Every pivot reconciles. And yet — the financial forecast still betrays you. Why? Because the illusion of clean data is the most dangerous lie in FP&A. Data […]
Why FP&A Must Model Policy Shock Like Market Shock Indian IT shares dropped sharply after reports that the U.S. may introduce a $100,000 H-1B visa application fee, a move tied to proposals from former President Donald Trump’s campaign. The change could hit a $283 billion Indian IT services industry, heavily reliant on H-1B visas to […]
7 Ways AI in FP&A Creates New Risks You Can’t Ignore AI is flooding into FP&A. Forecasts update in seconds, dashboards glow with insights, and executives cheer at “smarter” planning. But here’s the truth: AI doesn’t remove risk. It creates new ones. And if you’re not careful, your forecast bot will lie more confidently than […]
Why FP&A Must Build Decay Into Assumptions Most FP&A teams treat their models as immortal. Build it once, lock it down, circulate the deck. A month later, six months later, a year later — the same model is still being referenced, as if assumptions never rot. But here’s the thing: assumptions decay. Quickly. Faster […]
Why FP&A Needs Rolling Reality Instead of Annual Myths Every fall, FP&A teams gather to perform the same ritual: budgets.Spreadsheets get locked. Assumptions get baked. Presentations get polished. And within weeks? Reality diverges. Yet leaders keep talking to the budget as if it were alive — debating variances, justifying misses, pretending the ghost still matters. […]
Why FP&A Needs Capacity for Human Energy in Forecasts Most FP&A models assume people are machines. Productivity per headcount is fixed, output per hire never wavers, and teams deliver indefinitely at full tilt. But businesses don’t run on perfect constants. They run on people. And when FP&A ignores human energy, forecasts might balance on […]
Most FP&A teams act like competitors don’t exist.Forecasts are built entirely on internal assumptions: revenue, churn, headcount, expenses. But markets don’t move in a vacuum. Your forecast doesn’t just depend on you — it depends on them. The Blind Spot Here’s what happens when FP&A ignores competitors: You model pricing as stable while a rival […]
Sensitivity analysis should reveal where your model is fragile.Instead, most FP&A teams use it like a parlor trick — tweaking numbers without learning anything. Here are six ways sensitivity analysis fails in FP&A: 1. Only Stressing the “Obvious” Drivers Revenue growth, churn, pricing. Yes, they matter. But so do implementation delays and adoption rates. The […]
Finance teams obsess over numbers: revenue, margins, headcount.But the one driver that rarely makes it into the forecast — and quietly determines all the rest — is trust. When trust erodes inside a company, the financial impact is immediate and brutal: Sales cycles stretch because prospects don’t believe promises. Renewal rates collapse when customers doubt […]
Variance analysis is supposed to explain why numbers shifted.Instead, most FP&A teams turn it into a ritual — a performance that eats hours but explains nothing. Here are the seven deadly sins that prove your variance analysis is broken: 1. Worshipping Tiny Deviations Arguing about office supplies being 8% over budget while churn jumped 15%. […]