dsquare introduction

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D square introduction

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D square introduction

D square introduction

>>    2008-­‐2012:  Par,al  Funded  research  trajectory  of  >  1  Mio€  on  data  mining  for  processs  industry

>>    In  paten,ng  with  several  technologies

>>    Opera,onal  Excellence  solu,ons  using  data  mining  and  sta,s,al  learning  techniques

>>    Winner  Enterprize  contest:  Spin-­‐off  of  the  year  2010

>>    Developed  M2IS  (Cloud  based  Opera,onal  Excellence  cockpit  -­‐  SaaS)  enabling  a  more  pro-­‐ac,ve  plant/process              management  and  reduces  the  ,me  from  event  to  ac,on!  It  Facilitate  collabora,on  by  integra,ng  data,              applica,ons,  and  workflows.

>>    Ins,tu,onal  Tech  investors:

>>    Spin-­‐off  Unversity  of  Leuven  -­‐  Belgium

>>    18  Highly  mo,vated  employees    

>>    HQ  in  Belgium  (Hasselt),  Sales  office  in  Holland  (Breda)  and  opening  our  first  office  in  Germany  (2013)

“Through 2015, more than 85 percent of Fortune 500 organizations will fail to effectively exploit big data for competitive advantage.”

Our curent customers / partners

Operational Excellence 2.0

Alarm  Management Data  integra.on  

 Produc.on  Logbook  KPI  Dasbhoarding  -­‐  Business  intelligence-­‐ Decision  Support

“Reduce  alarm  load:  improve  opera,onal  reliability  resul,ng  in  both  opera,onal  Financial  Benefits  and  regulatory  compliance”

“M2IS  enables  a  more  pro-­‐ac,ve  plant/process  

management  and  reduces  the  ,me  from  event  to  ac,on!  It  Facilitate  collabora,on  by  

integra,ng  data,  applica,ons,  and  workflows  ”

“Fewer  people  will  make  beder  decisions,  faster  by  “    Crea,ng    “On-­‐demand  knowledge”  that  provides  ,mely  decision  support  through  the  visualiza,on  and  

analysis  of  accurate  informa,on”

“Create  and  maintain  cri,val  knowledge  for  workforce  transi,on  and  training”

Level0  -­‐  Level1

Control  Loop  

Performance  Monitoring

A  total  solu,on  regarding  monitoring,  analyzing  and  diagnosing  control  loops.  It  results  in  a  steady  and  con,nuous    improvement  of  the  product  quality,    costs,  throughput,  and  waste  reduc,on  in  process  plants.