Machine Learning on Consolidated Accounts, MLGeek Brussels [ULB] April 30

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ML on accounting data from holding companies

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Accounting: Balance Sheet

Non Current Assets

(Actifs Immobilisés/

Vast Activa)

[ Equity ]

Capital+Retained Earnings

LT Debts

ST Debts

Current Assets

(Actifs circulants/

Vlottend Activa)

ACTIVE PASSIVE

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Revenues (Sales…)

COGS (Cost of Sales)

General Expenditures

Personnel Costs

Depreciation

Financial cost

Profit

Taxes

Profit & Loss statements (P&L)

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GROSS MARGIN

– GENERAL

EXPENDITURES

PERSONNEL COSTS

DEPRECIATION

FINANCIAL

COSTS

FIN. REVENUES

LOSS

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Holding companies

Consolidated Accounts

Method:Import CSV

Convert Data

Foreign CurrencyGroup Chart of Accounts

Eliminations (e.g. intercompany / equity / depreciations / etc)

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ML:

Find correlations through raw CPU power

Data frequencyData uniformity

� Predictive analytics

Any sense?

Confidence intervalswww.wk1model.com

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Martin van Wunnik

0475 / 96.95.91

hello@MvanWunnik.com

Presentations : www.slideshare/MvanWunnik