BIG DATA = BIG OPPORTUNITY

BIG DATA = BIG OPPORTUNITY

Prof. Richardus Eko Indrajit President of APTIKOM Indonesia [email protected]

The Continent Archipelago

18,677  islands  -­‐  33  states  -­‐  497  districts  –  5,263  municipali�es  –  62,806  villages  237  million  popula�on  -­‐  2  million  km2  area  –  55,000  km  coastline  length  

583  dialects  –  127  million  labor  force  -­‐  40  million  students  4  million  SMEs  –  65  million  internet  users  -­‐  200  million  prepaid  numbers  

1,800  rural  banks  –  3,000  universi�es  –  35  poli�cal  par�es                        

The Continent Archipelago

18,677  islands  -­‐  33  states  -­‐  497  districts  –  5,263  municipali�es  –  62,806  villages  237  million  popula�on  -­‐  2  million  km2  area  –  55,000  km  coastline  length  

583  dialects  –  127  million  labor  force  -­‐  40  million  students  4  million  SMEs  –  65  million  internet  users  -­‐  200  million  prepaid  numbers  

1,800  rural  banks  –  3,000  universi�es  –  35  poli�cal  par�es                        

Simple Example

Spectrum of Needs

Example of Requirement

Business intelligence and analytics represents an integrated set of technologies and processes that use data to analyze and understand organizational performance.  

Business Intelligence helps answer five questions:  

What happened?  

What is happening?

Why is it happening?

What will happen?

What do we want to have happen?

Business Bottom Line

STRATEGY  MAP  Define  &  communicate  priori�es  and  focus  

BALANCED  SCORECARD  Measure  performance  against  priori�es  

MISSION  Why  we  exist  

VALUES  What’’s  important  to  us  

VISION  What  we  want  to  be  

STRATEGY  Our  game  plan  

EMPOWERMENT  /  PERSONAL  OBJECTIVES  Mo�vate  employees  

INITIATIVE  and  PLANNING  PROCESS  Manage  ac�ons  and  resources  to  drive  change  

STRATEGIC  OUTCOMES  

Sa�sfied  SHAREHOLDERS  

Delighted    CUSTOMERS  

Efficient  and  Effec�ve  PROCESSES  

Mo�vated  &  Prepared  WORKFORCE  

©  2001  Arthur  Andersen    All  rights  reserved.  

Extending the Business: Financial

Expand  market  share  

Increase  revenue  

Return  on  investment  

Op�mise  asset  u�lisa�on  

Manage  business  risks  

Informa�on  Visualisa�on  

Smart  Algorithm  

Predic�ve  Analy�cs  

Opera�on  Monitoring  

Data  Mart  Management  

Extending the Business: Customer

Improve  customer  orienta�on  and  service  

Offer  compe��ve  products  and  services  

Service  availability  

Agility  in  responding  to  changing  business  requirements  

Cost  op�misa�on  of  service  delivery  

Intelligence  Presenta�on  

Opera�on  Analysis  

Heuris�c  Algorithm  

Compe��ve  Intelligence  

Knowledge  Formula�on    

Extending the Business: Internal

Automate  and  integrate  the  enterprise  value  chain  

Improve  and  maintain  business  process  func�onality  

Lower  process  costs  

Compliance  with  external  laws  and  regula�ons  

Increase  transparency  

Compliance  with  internal  policies  

Improve  and  maintain  opera�onal  and  staff  produc�vity  

Process  Automa�on  

and  Op�mising  

Behavioral  Analysis  

Expert  System  

Management  Science  

Pa�ern  and  Clustering  Matching  

Extending the Business: Growth

Innovate  products  and  services  

Obtain  reliable  and  useful  informa�on  for  strategic  decision  making  

Acquire  and  maintain  skilled  and  mo�vated  personnel  

Performance  Analysis  

Knowledge  Management  

Decision  Support  

Trend  Analysis  

Execu�ve  Informa�on  System  

Corporate Dashboard

Networked Economy Complexity

Market  

Dis�

nct  

Structure  Stable  

Integrated  Value  Chain  

Unstable  

Value  Chain  Deconstruc�on  

Structural  change  

Flui

d  

Atomiza�on  

Market  &  structural  change  

Networked  Economy  

Opportunity    A    

Opportunity  B  

Market,  structural  &  strategic  change  

©  2001  Arthur  Andersen    All  rights  reserved.  

Complexity Management

Develop  and    refine    

performance    models                                                                                

     Benchmark  indicators  against  the  developed  

model  

     Be  recep�ve  to  internal/external  

warning  indicators  to  seize  new    business  

opportuni�es  or  tackle  looming          crisis.  

     Assemble  leading    indicators  to  detect  and  manage  business  

direc�on/speed                                                            

The  �me  factor  

©  2001  Arthur  Andersen    All  rights  reserved.  

Effective Decision Making

Business Asset Components

Enterprise Architecture

Business Architecture

Application Architecture

Data and Information Architecture

Technology Architecture

Search  Ad-­‐hoc    Analysis  

Interac�ve    Dashboards  

Proac�ve  Detec�on  and  Alerts  

Office  Produc�vity  Integra�on    

Repor�ng  &    Publishing      

Disconnected  &  Mobile  Analy�cs  

OLTP  &  ODS  Systems  

Data  Warehouse  Data  Mart  

ERP,  SCM,  CRM  Custom  Apps  

Files  Spreadsheets  XML  

Business  Process  

Mul�dimensional  Calcula�on  and  Integra�on  Engine    

Integrated  Security,    User  Management,  Personaliza�on  

Intelligent  Request  Genera�on  and  Op�mized  Data  Access  Services  

Cube-­‐DB  

Common  Enterprise  Informa�on  Model  

Desktop  Gadgets    

Security   Data  Access   Data  Integra�on  

Portals   Data  Mining   Applica�ons   Desktop  Tools  

The Web Evolution

The Web Generation

Social Graph Database

Caveats

“something  that  can  be  measured,  can  not  be  controlled”    

“something  that  can  not  be  controlled,  can  not  be  managed”    

“something  that  can  not  be  managed,  can  not  be  governed”    

“something  that  can  not  be  governed,  will  lead  to  chaos”  

THANK YOU Discussion and Q&A

Prof. Richardus Eko Indrajit President of APTIKOM Indonesia [email protected]