FP&A Trends Digest: Issue #165
| | Dear colleagues, Greetings from the Swiss Alps, between our Zurich and Geneva FP&A Boards. Both sessions kept returning to one obstacle: financial agility is impossible while finance still operates in silos. And cash forecasting may be the most stubborn silo of all — quietly separated from FP&A, running on different assumptions, on different timelines, in different conversations. There's a version of FP&A where cash is someone else's problem. Treasury handles it. Accounting closes it. FP&A models the P&L and calls it a day. That version is becoming expensive to maintain — and the cost usually appears long before the reporting cycle catches up. This digest looks at what changes when finance teams break the cash silo and treat liquidity, planning, and operational timing as one strategic conversation — a guide on synchronising FP&A and cash forecasting, plus three articles applying the same logic across treasury, working capital, and cash flow planning. Take it into your next forecast cycle. Warm regards from the mountains, Larysa Melnychuk, CEO and Founder FP&A Trends Group & International FP&A Board |
A Finance Leader’s Guide: Synchronizing FP&A and Cash Forecasting to Outpace Market Volatility | One CFO featured in this guide reports a 50% increase in budget accuracy and a 6.7% lift in operating margin after synchronising FP&A and cash forecasting. What you'll find inside: - Why FP&A and cash forecasting drift apart — by design, not by accident
- The three pressure points where that gap turns into a funding risk: timing, credibility, and resource gaps
- A 12-question scorecard placing your team in one of three risk tiers, with specific actions for each
- How leading teams reconcile the 13-week cash forecast with the 18–24 month FP&A view
Read the guide | | | Treasury Through an FP&A Lens: Understanding the Drivers Behind Liquidity | By Tatiana Jekmohan, Head of Global Treasury at TITAN Containers Liquidity isn't created in treasury — it's the financial consequence of decisions made elsewhere. Yet most treasury functions still report balances rather than interpret the drivers behind them. Tatiana shows how driver-based thinking turns treasury from a monitor of balances into a translator between operations and capital — drawing on engineering risk registers, FP&A, and two contrasting treasury environments. Read Tatiana's analysis | | | Driving Financial Agility: Effective Working Capital Strategy for FP&A Professionals | By Liudmila Gudina, Global Working Capital Manager at Fagron Working capital fails when FP&A targets and operational reality drift apart. The fix is operational: translate financial KPIs into language procurement, sales, and supply chain can act on, then tie outcomes directly to incentives. Liudmila argues for sharper metrics — Weighted Average Payment Term over DPO, DSO layered with ageing buckets — and tying 75% of executive bonuses to revenue, EBITDA, and Operating Working Capital. Read Liudmila's playbook | | | | How Can FP&A Address Some of the Key Challenges in Cash Flow Planning? | By Amrish Shah, CFO at Metabolic Cash flow planning looks deceptively simple. Amrish argues that's why it keeps failing — six organisational patterns quietly undermine it, from internal complacency in cash-rich businesses to fragmented coordination across finance. He sets out four practical moves FP&A can make to raise cash flow's priority — starting with incentive structures, where cash flow targets are conspicuously absent. Read Amrish's diagnosis | | |
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FP&A Trends digital events are vendor-agnostic and complimentary. If you are not able to join the live session, you can register to receive the recording later. | | | The Power of Driver-Based Planning in the Age of AI | AI is changing planning speed, but without strong business drivers, finance teams risk accelerating noise instead of improving decisions. Register for this webinar to explore how driver-based planning strengthens forecasting, scenario visibility, and decision-making under volatility. | | | From Data Chaos to Clarity: Making FP&A Data Fit for AI | Most AI challenges in FP&A still begin with fragmented data, inconsistent definitions, and weak governance. Join this webinar to learn how finance teams are improving data foundations to make AI more practical, scalable, and decision-ready. |
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