Measure And Steer The Business With Financial Data
Equity — from 17 books.
Mike West, Editor · Leading With Data · leadingwithdata.guide/guides/finance-analytics
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Measure And Steer The Business With Financial Data
Equity — from 17 books.
Mike West, Editor · Leading With Data · leadingwithdata.guide/guides/finance-analytics
The problem
Equity and shareholder value creation erodes when it is left to instinct instead of method.
You were taught the moves piecemeal, never the whole model.
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data
The model
- 01Forecasting Assumptions and Drivers
- 02Modeling Process and Best-Practice Discipline
- 03Input and Historical Data Quality
- 04Financial Statement Articulation and Projected Statements
- 05Free Cash Flow
- 06Cost of Capital (WACC)
- 07Operating Profitability and Margins
- 08Asset and Capital Efficiency
How it grows
- New to the role0–1 yr
- Running the function1–3 yr
- Shaping the whole3+ yr
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data
Step 1 of 5 · Forecasting Assumptions and Drivers
Three or four drivers determine the answer; identify them and defend those to the death.
Misconception
Practitioners believe more assumptions and more granular line items make a forecast more accurate.
Reality
Accuracy comes from isolating the three or four drivers that actually move value and reasoning hard about them; layering detail onto weak logic just hides the guesswork and manufactures false confidence.
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data
Step 2 of 5 · Modeling Process and Best-Practice Discipline
Inputs, calculations, and outputs belong in separate, visible zones—never mix them.
Misconception
Practitioners treat modeling discipline as cosmetic tidiness that slows down 'real' analysis.
Reality
Structure is what lets a model be safely changed, reviewed, and reused; a model no one can audit is a liability regardless of how clever its formulas are.
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data
Step 3 of 5 · Input and Historical Data Quality
Normalize for non-recurring items before any historical number enters a model.
Misconception
Practitioners assume audited financials and vendor data feeds are clean enough to use as-is.
Reality
Reported numbers carry restatements, one-time items, accounting-policy changes, and classification quirks that distort trends; the data is 'accurate' in a legal sense while being misleading for analysis.
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data
Step 4 of 5 · Financial Statement Articulation and Projected Statements
One driver set should ripple through all three statements automatically.
Misconception
Practitioners think a balanced balance sheet proves the projected statements are correct.
Reality
Balancing is a necessary hygiene check, not a validity proof—a model can tie perfectly while embedding an impossible economic story, like growth with no reinvestment or debt that never gets serviced.
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data
Step 5 of 5 · Free Cash Flow
Profit and free cash flow diverge precisely on non-cash items and reinvestment—know the bridge.
Misconception
Practitioners equate free cash flow with net income or with EBITDA.
Reality
Earnings include non-cash accruals and ignore the reinvestment—capex and working capital—that a growing business must fund; a company can post rising profits while free cash flow turns negative.
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data
A framework to use
AI-First Market Prediction Framework
This framework is part of the full guide. See the guide →
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data
The cheat sheet
- Forecasting Assumptions and DriversThree or four drivers determine the answer; identify them and defend those to the death.
- Input and Historical Data QualityNormalize for non-recurring items before any historical number enters a model.
- Free Cash FlowProfit and free cash flow diverge precisely on non-cash items and reinvestment—know the bridge.
- Cost of Capital (WACC)A 100-basis-point move in WACC can swing intrinsic value more than a year of operating outperformance.
- Operating Profitability and MarginsValue is created only when ROIC exceeds WACC—everything else is table stakes.
- Asset and Capital EfficiencyReturn on capital = margin × turnover; improving either raises returns.
- Revenue / Sales GrowthGrowth creates value only when incremental returns beat the cost of capital.
- Enterprise / Intrinsic ValueTerminal value usually drives the majority of enterprise value, so scrutinize it harder than the explicit forecast years.
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data
Sources
- Artificial Intelligence in Finance A Python-Based Guide — Yves Hilpisch
- Customer Accounting Creating Value with Customer Analytics — Massimiliano Bonacchi Paolo Perego
- Design, Evaluation, and Analysis of Questionnaires for Survey Research — Irmtraud N. Gallhofer, Willem E. Saris
- Financial Data Analytics with Machine Learning, Optimization and Statistics with Machine Learning, Optimization and Statistics — etc.
- Financial Forecasting, Analysis, and Modelling A Framework for Long-Term Forecasting — Michael Samonas
- Financial Modeling - 2nd Edition — Simon Benninga
- Financial Modeling, 3rd Edition — Simon Benninga
- Financial Planning Analysis and Performance Management — Jack Alexander
- Financial Statement Analysis Workbook A Practitioners Guide, 4th Edition (Wiley Finance) — Martin S. Fridson CFA, Fernando Alvarez
- Key management ratios master the management metrics that drive and control your business — Walsh, Ciaran
+ 7 more sources in the full guide
Measure And Steer The Business With Financial Data · Mike West, Editor · Leading With Data