1ML on accounting datafrom holding companies
2Accounting: Balance SheetNon Current Assets(Actifs Immobilisés/Vast Activa)[ Equity ]Capital+Retained EarningsLT DebtsST ...
3Revenues (Sales…)COGS (Cost of Sales)General ExpendituresPersonnel CostsDepreciationFinancial costProfitTaxesProfit & Los...
4GROSS MARGIN– GENERALEXPENDITURESPERSONNEL COSTSDEPRECIATIONFINANCIALCOSTSFIN. REVENUESLOSS
5Holding companiesConsolidated AccountsMethod:Import CSVConvert DataForeign CurrencyGroup Chart of AccountsEliminations(e....
6ML:Find correlations through raw CPU powerData frequencyData uniformityPredictive analyticsAny sense?Confidence intervals...
7
8
9Martin van Wunnik0475 / 96.95.91hello@MvanWunnik.comPresentations : www.slideshare/MvanWunnik
Upcoming SlideShare
Loading in …5
×

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

297 views

Published on

Presentation at MLGeek Brussels on April 30th 2013 - Machine Learning on accounting data from a holding company

Published in: Technology, Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
297
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

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

  1. 1. 1ML on accounting datafrom holding companies
  2. 2. 2Accounting: Balance SheetNon Current Assets(Actifs Immobilisés/Vast Activa)[ Equity ]Capital+Retained EarningsLT DebtsST DebtsCurrent Assets(Actifs circulants/Vlottend Activa)ACTIVE PASSIVE
  3. 3. 3Revenues (Sales…)COGS (Cost of Sales)General ExpendituresPersonnel CostsDepreciationFinancial costProfitTaxesProfit & Loss statements (P&L)
  4. 4. 4GROSS MARGIN– GENERALEXPENDITURESPERSONNEL COSTSDEPRECIATIONFINANCIALCOSTSFIN. REVENUESLOSS
  5. 5. 5Holding companiesConsolidated AccountsMethod:Import CSVConvert DataForeign CurrencyGroup Chart of AccountsEliminations(e.g. intercompany / equity / depreciations / etc)
  6. 6. 6ML:Find correlations through raw CPU powerData frequencyData uniformityPredictive analyticsAny sense?Confidence intervalswww.wk1model.com
  7. 7. 7
  8. 8. 8
  9. 9. 9Martin van Wunnik0475 / 96.95.91hello@MvanWunnik.comPresentations : www.slideshare/MvanWunnik

×