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TREASURY & FP&A DRIVING BETTER DECISONS

Swo afp april 2015 - treasury & fp&a driving decisions (final)

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TREASURY  &  FP&A   DRIVING  BETTER  DECISONS

AGENDA  

I.  Financial  Planning  &  Analysis  Defined  (FP&A)  

II.  Technology  impact  on  Finance  &  Accoun=ng  

III.  Sharing  Data,  Crea=ng  Insights  

IV.  Same  Ruble,  Different  Times  

V.  Recap  and  Q&A  

FINANCIAL  PLANNING  &  

ANALYSIS  (FP&A)  DEFINED

The  SynFiny  Advisors  definiCon:  

ü  The  cri=cal  value  crea=on  processes,  which  requires  a  deep  understanding  of  business  fluency,  finance,  modeling,  data  systems  and  processes,  and  accoun=ng.    

 

ü  This  typically  combines  financial  and  non-­‐financial  data  as  required  to  create  strategic  and  opera=onal  financial  plans.    

 

ü  When  done  well,  these  processes  are  a  clear  compe==ve  advantage  and  thus  are  viewed  as  cri=cal  by  senior  leaders.”  

WHAT  IS  FINANCIAL  PLANNING  AND  ANALYSIS?  

WHICH  PROCESSES  ARE  TYPICALLY  OWNED  BY  FP&A?  

ü  Strategic  Planning ü  BudgeCng ü  ForecasCng ü  Management  ReporCng

ü  Financial  Analysis ü  Capital  Planning ü  Business  Modeling  

FINANCIAL  PLANNING  &  ANALYSIS AS  GROWTH  ENGINE

Higher  Growth Higher  Margin  Investments

CompeCCve   Cost  Advantage

Improved  Business Decisions  &  Analysis

Investment  in  Real  Time  Data  &  VisualizaCon

Deliver   Financial  Strategy  

via  Financial  Planning  &  Analysis

Lower  Cost/Improved  Service  of  FP&A  Driven By  Efficiency/ProducCvity •  +6%  Produc=vity  •  +25%  lower  SG&A  cost  

•  Real  =me  data  (2  to  5x                  faster  cycle  =mes)  •  Master  data  enables          analysis  

Higher  Sales/Lower  Cost •  Sales  increase  of  app.          +~2%  per  year  •  Cost  decrease  of  app.          +~2%  per  year  

•  Faster  decisions  and          ac=ons  than  compe==on  •  Make  beZer  investment          decisions  

TECHNOLOGY  IMPACT  ON FINANCE  &  

ACCOUNTING

A  TALE  OF  FINANCE  &  ACCOUNTING  SYSTEMS  

COMPARING  FINANCE  &  ACCOUNTING  SYSTEMS

AREA  OF  WORK EARLY  90’S TODAY Closing  Books    

Weeks  to  Months   Days  to  Weeks  

Accoun=ng  Systems   Slow  &  poorly  designed.    Mostly  locally,  un-­‐integrated  systems  

Fast  &  well  designed.    Fully  integrated  and  standard  ERP.  

FP&A  Systems   Only  excel,  highly  non-­‐standard   FP&A  tools  available.  

Integrated  w/  Bank   Dial  in  bank  sta=ons,  Cashiers,  and  mailing  documents.  

Web-­‐solu=ons,  EFT’s,  and  secure  e-­‐communica=ons  with  bank.  

Chart  of  Accounts   No  common  chart  of  accounts,  Accounts  created  for  each  use  

Standard  chart  of  accounts.    Simplified  for  business  facing  use.  

Ability  to  view  details   Only  high  level  analysis.  Unable  to  view  details  

Low  level  analysis.    Drill  into  all  levels  of  transac=ons.  

SHARING  DATA, CREATING  INSIGHTS TREASURY  AND  FP&A

TREASURY  &  FP&A  WORKING  TOGETHER

   

Treasury  Owns FP&A  Owns By  working  together Explain  impact  of  Fx,  commodity,  and  infla=on  by  country  

Financial  Strategy  include  impact  of  Fx,  commodi=es,  and  infla=on  

Financial  Strategy  can  be  adjusted  as  new  impacts  available  

Determining  which  country  creates  Fx  exposures  

Incorporate  Fx  exposures  or  impacts  into  sales/cost/profit  

Fx  driven  gaps  in  Forecast  or  Budget  iden=fied  and  closed  quickly  

Explain  current/future  interest  expense  or  income  

Incorporate  interest  expense  or  revenue  into  forecast  

Reduce  overall  interest  expense,  Increase  interest  income  

Insurance  required  for  catastrophic  policies  

Current  and  future  forecast  of  by  country  or  region  profits  

Reducing  overall  cost  of  insurance  

Nego=a=ng  bank  fees  or  other  treasury  driven  transac=onal  fees  

Reflec=ng  bank  fees  into  the  budgets  

Reduce  overall  cost  of  bank  or  other  fees  

RUSSIA   1998  vs.  2014 SAME  RUBLE,  

SIMILAR  TIMES?

DIFFERENT  LEADERS,  SIMILAR  TIMES?

   

RUBLE  IS  FALLING  FROM  A  STEEP  CLIFF

   

Read more: http://www.businessinsider.com/ruble-collapse-1998-2014-12#ixzz3VgXoKTmf #

RUSSIAN  INTERNATIONAL  RESERVES/GDP

Sources: IMF, Russian Ministry of Finance, CFA Institute.  

RUSSIAN  DEBT/%  OF  GDP

Sources: IMF  

WHAT  DOES  A  GLOBAL  COMPANY  DO?

Source:  CIA  World  Factbook  

0  

500  

1000  

1500  

2000  

2500  

3000  

1999   2000   2002   2003   2004   2005   2006   2007   2008   2009   2010   2011  

$Billion  GD

P  

Year  by  year  

Russian  GDP/PPP Russia  has  grown  from  the  17th  largest  economy  in  1998  to  the  6th  largest  in  2014.

 

       DOES  HISTORY  REPEAT  ITSELF?  

FInance  Work Pre-­‐2000’s Today

Data  easier  to  access  

Limited  integrated  systems,  Highly  Manual/Inaccurate  excel  models  

Integrated  systems  for  accoun=ng  (SAP,  Oracle,  Work  day,  etc.)  or  forecast  (KCI,  IBM,  Microsop,  etc.)    

Organiza=ons  beZer  prepared  

Highly  decentralized,  Sharing  knowledge  difficult  

More  Centralized,  Ease  of  sharing  knowledge  

Data  translated  to  insight  faster  

Data  consolida=on  took  months.    Actuals,  Forecast,  Balance  Sheets.  

Data  consolidated  in  days,  weeks,  and  some=mes  hours  

Analysis  more  thorough  

Analysis  was  based  on  “old”  data  for  decision  making.  

Analysis  is  based  on  “close  to  real  =me”  data  for  decision  making  

Big  Data  &  Visualiza=on  

Data  highly  fragmented,  Difficult  to  see  the  forest  through  trees.  

Data  consolidated,  Easier  to  visualize  cause/effect,  Different  data  can  be  combined  

Faster  reac=on  =mes  

Postal  delivery,  Phone,  Fax   Internet,  Videoconferences,  Scanning,  Mobile,  Social  Media  

NO.    Russia  is  too  big.    OrganizaCons  are  prepared.    Tools  are  befer.

 RECAP   AND   Q&A

How  can  Treasury  and  FP&A  work  together?

ü  Expect  more  from  Finance  &  Accoun=ng  systems  

ü  Big  data  to  create  insights  and  drive  decisions  ü  ERP  for  lower  level,  real  =me  analy=cal  data  

ü  Fx/Commodi=es  modeling  for  P/L  impacts  

ü Work  with  IT  on  joint  projects  to  improve  data  

ü  AZend  SWOAFP  and  AFP  Na=onal  Mee=ngs!!  

TO  RECAP  

QuesCons  or  Comments?  

Contact  me  directly  to  con/nue  the  discussion:

           Email:        [email protected]  

           Website:      synfiny.com  

           Mobile:      (513)  884-­‐6134