Portfolio optimization
Markowitz Mean-Variance Optimization, the Nobel Prize-winning framework behind modern portfolio theory, replaces gut-feel asset allocation with a calculation: for every unit of risk taken on, is this the best possible expected return available from your holdings.
Decision it enables: whether your current portfolio is genuinely diversified and sitting on the efficient frontier, or quietly carrying risk that isn't being paid for.
Read the blog post →Capital budgeting
Ranking competing capital requests by discounted cash flows, using Net Present Value as the single source of truth, replaces persuasive pitches with a consistent, auditable test: does this project add value to the firm, or does it just look good on a slide.
Decision it enables: which capital projects to fund, and which to reject, based on value created rather than IRR alone or who tells the best story.
Read the blog post →Working capital in inventory
Modeling the trade-off between carrying costs and shortage costs pins down an optimal inventory investment for every business unit, replacing firm-wide averages that quietly hide units holding far too much stock alongside units running dangerously lean.
Decision it enables: where to release cash tied up in excess inventory, and where to invest more to stop stock-outs eroding revenue.
Read the blog post →
Our FP&A partner: Aimplan
Aimplan is a fast-growing international start-up based in Sweden, on a mission to help organizations reach and exceed their goals with superior planning and reporting. They've built a dedicated FP&A extension for Power BI, and we help our clients put it to work — from forecasting and budgeting to scenario modeling and performance tracking.
Learn more about Aimplan →