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Brussels	
  
                                                21	
  –	
  22	
  	
  
                                               March	
  ‘13	
  




                                                    ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
BI	
  Software	
  as	
  a	
  Service	
  	
  
&	
  
Cloud	
  Strategies	
  for	
  Telcos	
  	
  
David	
  M	
  Walker	
  
Data	
  Management	
  &	
  Warehousing	
  

                                                                             1	
  
Brussels	
  



Cloud	
  Computing	
  (Since	
  1970)	
  
                                                                                                                   21	
  –	
  22	
  	
  
                                                                                                                  March	
  ‘13	
  




                                                                                                                       ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                                                     In	
  1970	
  a	
  service	
  provider	
  
                                                                           would	
  have	
  owned	
  a	
  
                                                                      mainframe	
  and	
  provided	
  
                                                                      clients	
  with	
  a	
  connecFon	
  
                                                                          that	
  allowed	
  them	
  to	
  
                                                                      interact	
  with	
  the	
  system.	
  
                                                                       Many	
  companies	
  would	
  
                                                                     have	
  accessed	
  this	
  system	
  
                                                                       sharing	
  the	
  resource	
  on	
  
                                                                                    demand	
  
                                                                	
  
  The	
  terminology	
  has	
  changed	
  and	
  the	
  technology	
  has	
  been	
  updated	
  
                     but	
  the	
  funcFonality	
  remains	
  the	
  same.	
  	
  
  “Cloud	
  compuFng	
  is	
  the	
  use	
  of	
  compuFng	
  resources	
  (hardware	
  and	
  
 soMware)	
  that	
  are	
  delivered	
  as	
  a	
  service	
  over	
  a	
  network	
  (typically	
  the	
  
   Internet).	
  Cloud	
  compuFng	
  entrusts	
  remote	
  services	
  with	
  a	
  user's	
                                                   2	
  
                data,	
  soMware	
  and	
  computaFon.”	
  -­‐	
  Wikipedia	
  
Brussels	
  



Cloud	
  Computing	
  Architecture	
  
                                          21	
  –	
  22	
  	
  
                                         March	
  ‘13	
  




                                              ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                                                       3	
  
Brussels	
  



The	
  ‘as	
  a	
  Service’	
  Stack	
  
                                                   21	
  –	
  22	
  	
  
                                                  March	
  ‘13	
  




                                                       ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  The	
  more	
  standard	
  the	
  
   business	
  applicaFon	
  the	
  
   higher	
  up	
  the	
  stack	
  it	
  is	
  
   possible	
  to	
  go	
  
•  Most	
  organisaFons	
  can	
  
   do	
  e-­‐mail,	
  ERP,	
  CRM	
  as	
  
   SaaS	
  
•  There	
  is	
  also	
  NaaS	
  –	
  
   Network	
  as	
  a	
  Service	
  
   that	
  provides	
  the	
  
   connecFvity	
  to	
  the	
  
   cloud	
  &	
  between	
  clouds	
  
                                                                                4	
  
Brussels	
  



Cloud	
  Models	
  
                                                                                       21	
  –	
  22	
  	
  
                                                                                      March	
  ‘13	
  




•  Public	
  




                                                                                           ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
   •  Services	
  provided	
  by	
  a	
  service	
  provider,	
  usually	
  
      offered	
  on	
  a	
  pay	
  per	
  use	
  model	
  measured	
  by	
  CPU,	
  
      Storage,	
  Network	
  Bandwidth,	
  AcFve	
  Seats,	
  etc.	
  
•  Private	
  
   •  Services	
  built	
  by	
  an	
  organisaFon	
  for	
  it’s	
  own	
  use	
  
      but	
  using	
  the	
  technologies	
  and	
  techniques	
  of	
  
      public	
  cloud	
  compuFng	
  –	
  really	
  only	
  available	
  to	
  
      large	
  corporates	
  and	
  governments	
  
•  Community	
  
   •  Services	
  built	
  by	
  a	
  group	
  of	
  organisaFons	
  who	
  use	
  
      common	
  resources	
  or	
  share	
  common	
  concerns	
  
      (security,	
  compliance,	
  etc.)	
  
•  Hybrid	
  
   •  CombinaFon	
  of	
  Public	
  and	
  Private/Community	
  
      environment	
  using	
  allowing	
  commodity	
  
      components	
  where	
  possible	
  and	
  bespoke	
  cloud	
  
      services	
  where	
  necessary	
                                                                              5	
  
Brussels	
  



Public	
  vs.	
  Private	
  Cloud	
  
                                                                                                       21	
  –	
  22	
  	
  
                                                                                                      March	
  ‘13	
  




                                                                                                           ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  Public	
  cloud	
  has	
  an	
  iniFal	
  (very)	
  low	
  cost	
  with	
  predictable	
  
   long-­‐term	
  cost	
  –	
  although	
  the	
  long-­‐term	
  cost	
  is	
  oMen	
  
   considered	
  quite	
  high	
  –	
  private	
  cloud	
  is	
  costly	
  to	
  setup	
  and	
  
   long-­‐term	
  cost	
  is	
  unpredictable	
  
•  Scale-­‐up	
  and	
  scale-­‐out	
  are	
  easier	
  on	
  public	
  cloud	
  as	
  the	
  
   service	
  provider	
  is	
  responsible	
  for	
  ensuring	
  resources	
  are	
  
   available	
  at	
  a	
  pre-­‐determined	
  cost	
  
•  Security	
  &	
  privacy	
  of	
  data	
  on	
  public	
  cloud	
  will	
  always	
  be	
  a	
  
   concern.	
  There	
  are	
  addiFonal	
  concerns	
  over	
  data	
  locaFon	
  –	
  
   can	
  data	
  be	
  moved	
  between	
  states?	
  Can	
  rouge	
  states	
  host	
  
   their	
  applicaFons	
  in	
  the	
  same	
  hosted	
  environment	
  as	
  your	
  
   company	
  servers?	
  etc.	
  
                                                                                                                                    6	
  
Brussels	
  



Elastic	
  Services	
  
                                                                                                                         21	
  –	
  22	
  	
  
                                                                                                                        March	
  ‘13	
  




                                                                                                                             ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  In	
  order	
  to	
  get	
  more	
  resource	
  cloud	
  based	
  services	
  have	
  ways	
  to	
  
   enable	
  organisaFons	
  to	
  get	
  more	
  physical	
  or	
  virtual	
  servers	
  quickly	
  
   and	
  easily	
  

•  ElasFc	
  services	
  allow	
  organisaFons	
  to	
  expand	
  or	
  contract	
  the	
  size	
  of	
  
   their	
  individual	
  servers	
  (CPU/Disk/Bandwidth)	
  based	
  on	
  need	
  
    •  This	
  is	
  not	
  usually	
  transparent	
  as	
  it	
  oMen	
  requires	
  a	
  reboot	
  
    •  ElasFc	
  disk	
  space	
  is	
  usually	
  slower	
  than	
  dedicated	
  disks	
  

•  Choice	
  of	
  database	
  technology	
  will	
  affect	
  choices	
  
   •  Appliances	
  need	
  to	
  be	
  hosted	
  or	
  co-­‐located	
  
   •  Column-­‐store	
  databases	
  are	
  very	
  effecFve	
  in	
  elasFc	
  compute	
  as	
  the	
  
        they	
  use	
  less	
  resources	
  compared	
  to	
  the	
  raw	
  data	
  or	
  row	
  based	
  dbs	
  	
  
   •  Big	
  Data	
  technologies	
  favour	
  large	
  numbers	
  of	
  elasFc	
  compute	
                                                          7	
  
        technologies	
  but	
  this	
  can	
  get	
  expensive	
  
   	
  
Brussels	
  



The	
  BI	
  Systems	
  Model	
  
                                                                                                                                           21	
  –	
  22	
  	
  
                                                                                                                                          March	
  ‘13	
  




                                                                                                                                               ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                   Database	
  




                                                                                     Database	
  
                                    Staging	
  	
  




                                                                                      Staging	
  	
  
                                                        Data	
                                                             ReporFng	
  
 Source	
                                                              ETL	
  	
                        Data	
  Mart	
  
               ETL	
  Server	
                        Warehouse	
                                                            Tools	
  
Systems	
                                                             Server	
                          Database	
  
                                                      Database	
                                                            Servers	
  




•  Most	
  BI/DWH	
  soluFons	
  do	
  &	
  will	
  look	
  something	
  like	
  this	
  
•  There	
  will	
  be	
  a	
  corporate	
  strategy	
  for	
  operaFonal	
  systems	
  
    •  Legacy	
  systems	
  will	
  be	
  in-­‐house	
  
    •  New	
  systems	
  may	
  be	
  in-­‐house	
  or	
  in	
  the	
  cloud	
  
    •  Even	
  if	
  an	
  organisaFon	
  is	
  commifed	
  to	
  a	
  fully	
  cloud	
  based	
  future	
  
       there	
  will	
  be	
  a	
  transiFonal	
  state	
  which	
  is	
  mixed	
  mode	
  
                                                                                                                                                                        8	
  
Brussels	
  



Deployment	
  Model	
  1	
  
                                                                                                                                                 21	
  –	
  22	
  	
  
                                                                                                                                                March	
  ‘13	
  




                                                                                                                                                     ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                       Database	
  




                                                                                         Database	
  
                                        Staging	
  	
  




                                                                                          Staging	
  	
  
                                                            Data	
                                                               ReporFng	
  
  Source	
                                                                 ETL	
  	
                        Data	
  Mart	
  
                   ETL	
  Server	
                        Warehouse	
                                                              Tools	
  
 Systems	
                                                                Server	
                          Database	
  
                                                          Database	
                                                              Servers	
  



                                        In	
  	
  House	
                                                          In	
  The	
  Cloud	
  


•  ExisFng	
  Data	
  Warehouse	
  retained	
  in	
  house	
  
•  Data	
  Marts	
  &	
  ReporFng	
  Tools	
  migrated	
  to	
  the	
  cloud	
  
       •  ETL	
  Server	
  has	
  to	
  deliver	
  ‘ETL’	
  (i.e.	
  data	
  ready	
  for	
  direct	
  load)	
  
       •  ReporFng	
  via	
  web	
  interface	
  
       •  Desktop	
  tools	
  used	
  via	
  Remote	
  Desktop	
  
•  Favoured	
  as	
  a	
  first	
  step	
  into	
  the	
  cloud	
  	
  
                                                                                                                                                                              9	
  
       •  Experiments	
  in	
  public	
  cloud	
  and	
  for	
  extranet	
  usage	
  
	
  
Brussels	
  



Deployment	
  Model	
  2	
  
                                                                                                                                           21	
  –	
  22	
  	
  
                                                                                                                                          March	
  ‘13	
  




                                                                                                                                               ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                   Database	
  




                                                                                     Database	
  
                                    Staging	
  	
  




                                                                                      Staging	
  	
  
                                                        Data	
                                                             ReporFng	
  
 Source	
                                                              ETL	
  	
                        Data	
  Mart	
  
               ETL	
  Server	
                        Warehouse	
                                                            Tools	
  
Systems	
                                                             Server	
                          Database	
  
                                                      Database	
                                                            Servers	
  



                   In	
  	
  House	
                                                       In	
  The	
  Cloud	
  


•  Deployment	
  with	
  two	
  ETL	
  servers	
  
    •  First	
  ETL	
  Server	
  loads	
  the	
  data	
  warehouse	
  
    •  Second	
  ETL	
  server	
  has	
  to	
  deliver	
  ‘ELT’	
  to	
  ensure	
  that	
  performance	
  
       is	
  sufficient	
  and	
  uses	
  a	
  pull	
  model	
  



                                                                                                                                                 10	
  
Brussels	
  



Deployment	
  Model	
  3	
  
                                                                                                                                               21	
  –	
  22	
  	
  
                                                                                                                                              March	
  ‘13	
  




                                                                                                                                                   ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                       Database	
  




                                                                                         Database	
  
                                        Staging	
  	
  




                                                                                          Staging	
  	
  
                                                            Data	
                                                             ReporFng	
  
 Source	
                                                                  ETL	
  	
                        Data	
  Mart	
  
                   ETL	
  Server	
                        Warehouse	
                                                            Tools	
  
Systems	
                                                                 Server	
                          Database	
  
                                                          Database	
                                                            Servers	
  



       In	
  	
  House	
                                                      In	
  The	
  Cloud	
  


•  Deployment	
  with	
  two	
  ETL	
  servers	
  
    •  First	
  ETL	
  Server	
  loads	
  the	
  staging	
  area,	
  this	
  is	
  normally	
  a	
  literal	
  
         staging	
  area	
  and	
  therefore	
  is	
  just	
  ‘EL’	
  (no	
  ‘T’)	
  
    •  Second	
  ETL	
  server	
  has	
  to	
  deliver	
  ‘ELT’	
  to	
  ensure	
  that	
  performance	
  
         is	
  sufficient	
  and	
  uses	
  a	
  pull	
  model	
  
    	
  
                                                                                                                                                     11	
  
Brussels	
  



Deployment	
  Model	
  4	
  
                                                                                                                                                        21	
  –	
  22	
  	
  
                                                                                                                                                       March	
  ‘13	
  




                                                                                                                                                            ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                          Database	
  




                                                                                                  Database	
  
                                           Staging	
  	
  




                                                                                                   Staging	
  	
  
                                                               Data	
                                                                   ReporFng	
  
   Source	
                                                                         ETL	
  	
                        Data	
  Mart	
  
                      ETL	
  Server	
                        Warehouse	
                                                                  Tools	
  
  Systems	
                                                                        Server	
                          Database	
  
                                                             Database	
                                                                  Servers	
  



In	
  	
  House	
                                                            In	
  The	
  Cloud	
  


  •  Deployment	
  with	
  a	
  single	
  cloud	
  based	
  ETL	
  server	
  
        •  Normal	
  BI	
  operaFons	
  but	
  all	
  of	
  the	
  BI	
  is	
  in	
  the	
  cloud	
  
  •  More	
  oMen	
  used	
  with	
  Private	
  cloud	
  due	
  to	
  security	
  concerns	
  



                                                                                                                                                              12	
  
Brussels	
  



Deployment	
  Model	
  5	
  
                                                                                                                                               21	
  –	
  22	
  	
  
                                                                                                                                              March	
  ‘13	
  




                                                                                                                                                   ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                  Database	
  




                                                                                         Database	
  
                                   Staging	
  	
  




                                                                                          Staging	
  	
  
                                                       Data	
                                                                  ReporFng	
  
 Source	
                                                                  ETL	
  	
                        Data	
  Mart	
  
              ETL	
  Server	
                        Warehouse	
                                                                 Tools	
  
Systems	
                                                                 Server	
                          Database	
  
                                                     Database	
                                                                 Servers	
  



                                                          In	
  The	
  Cloud	
  


•  Fully	
  cloud	
  based	
  environment	
  
•  No	
  issues	
  around	
  data	
  movement	
  volumes	
  
•  Security	
  concerns	
  will	
  have	
  been	
  addressed	
  because	
  all	
  
   corporate	
  data	
  is	
  in	
  the	
  cloud	
  already	
  


                                                                                                                                                     13	
  
Brussels	
  



Legacy	
  Deployment	
  Model	
  	
  
                                                                                                                                                   21	
  –	
  22	
  	
  
                                                                                                                                                  March	
  ‘13	
  




                                                                                                                                                       ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                    Database	
  




                                                                                             Database	
  
                                     Staging	
  	
  




                                                                                              Staging	
  	
  
                                                         Data	
                                                                    ReporFng	
  
 Source	
                                                                   ETL	
  	
                           Data	
  Mart	
  
                ETL	
  Server	
                        Warehouse	
                                                                   Tools	
  
Systems	
                                                                  Server	
                             Database	
  
                                                       Database	
                                                                   Servers	
  


In	
  The	
  
                                                                       In	
  	
  House	
  
Cloud	
  

•  Fully	
  cloud	
  based	
  environment	
  for	
  operaFonal	
  systems	
  
•  Data	
  being	
  dragged	
  back	
  into	
  legacy	
  BI	
  system	
  
•  Issues	
  with	
  migraFng	
  legacy	
  BI	
  technologies	
  to	
  the	
  cloud	
  



                                                                                                                                                         14	
  
Brussels	
  



Major	
  Issues	
  
                                                                                                                 21	
  –	
  22	
  	
  
                                                                                                                March	
  ‘13	
  




                                                                                                                     ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  Volume	
  of	
  data	
  over	
  the	
  network	
  
    •  Whichever	
  (distributed)	
  deployment	
  model	
  is	
  used	
  at	
  some	
  point	
  
       significant	
  amounts	
  of	
  data	
  will	
  have	
  to	
  moved	
  across	
  the	
  
       network	
  –	
  this	
  is	
  the	
  slowest	
  component	
  of	
  any	
  BI	
  soluFon	
  and	
  
       introduces	
  cost	
  and	
  latency	
  
•  Punching	
  a	
  hole	
  in	
  the	
  firewall	
  
    •  Many	
  organisaFons	
  will	
  be	
  concerned	
  about	
  deploying	
  an	
  ETL	
  
       tool	
  in	
  the	
  cloud	
  that	
  needs	
  fill	
  read	
  access	
  to	
  all	
  it’s	
  major	
  
       systems	
  –	
  deployment	
  models	
  that	
  restrict	
  this	
  access	
  tend	
  to	
  be	
  
       more	
  popular	
  
•  Compliance	
  
    •  Can	
  you	
  move	
  your	
  data	
  outside	
  your	
  state	
  and	
  any	
  other	
  range	
  
       of	
  regulaFons	
  	
  
    •  US	
  -­‐	
  FISMA,HIPAA,	
  SOX;	
  EU	
  –	
  Data	
  ProtecFon	
  DirecFve;	
  etc.	
                        15	
  
Brussels	
  



Appliances	
  in	
  the	
  cloud	
  
                                                                                                       21	
  –	
  22	
  	
  
                                                                                                      March	
  ‘13	
  




                                                                                                           ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  All	
  physical	
  appliances	
  in	
  the	
  cloud	
  have	
  to	
  be	
  hosted	
  or	
  co-­‐
   located	
  
    •  Oracle	
  Exadata,	
  IBM	
  Netezza,	
  InfoBright	
  Infopliance	
  
    •  All	
  offer	
  some	
  managed	
  service,	
  implementaFon	
  with	
  preferred	
  
       partners	
  or	
  self-­‐build	
  cloud	
  opFons	
  
•  Virtual	
  Appliance	
  providers	
  allow	
  elasFc	
  services	
  to	
  be	
  used	
  as	
  
   well	
  as	
  being	
  hosted	
  or	
  co-­‐located	
  
    •  EMC	
  Greenplum,	
  ParAccel	
  
    •  These	
  technologies	
  have	
  community	
  ediFons	
  which	
  allow	
  try	
  
       before	
  you	
  buy	
  
    •  Again	
  all	
  offer	
  some	
  managed	
  service,	
  implementaFon	
  with	
  
       preferred	
  partners	
  or	
  self-­‐build	
  cloud	
  opFons	
  	
  	
  	
  
                                                                                                             16	
  
Brussels	
  



Column	
  Store	
  In	
  the	
  Cloud	
  
                                                                                                         21	
  –	
  22	
  	
  
                                                                                                        March	
  ‘13	
  




                                                                                                             ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  Column	
  Store	
  databases	
  well	
  suited	
  to	
  cloud	
  implementaFons	
  
•  UK	
  operator	
  data	
  being	
  loaded	
  into	
  a	
  column	
  store	
  database	
  
   •    2.6	
  Billion	
  call	
  data	
  records	
  (CDR)	
  per	
  day	
  
   •    114Gb	
  of	
  data	
  in	
  raw	
  files	
  including	
  reference	
  data	
  
   •    <	
  2.5	
  hours	
  to	
  transfer	
  to	
  server	
  and	
  load	
  data	
  
   •    Database	
  grows	
  by	
  7Gb	
  per	
  day	
  –	
  effecFve	
  compression	
  16.25:1	
  


•  Players	
  in	
  the	
  market	
  offering	
  services	
  in	
  this	
  area	
  include:	
  
   •  AcFan	
  Vectorwise*,	
  HP	
  VerFca,	
  InfoBright*,	
  MicrosoM	
  SQL	
  Server	
  
      2012,	
  SAP	
  Sybase	
  IQ	
  
   •  *These	
  technologies	
  have	
  community	
  ediFons	
  which	
  allow	
  try	
  
      before	
  you	
  buy	
  –	
  others	
  have	
  low	
  cost	
  PoC	
  opFons	
                            17	
  
   •  All	
  available	
  in	
  co-­‐locaFon,	
  hosted	
  and	
  elasFc	
  service	
  models	
  	
  
Brussels	
  



Big	
  Data	
  in	
  the	
  Cloud	
  
                                                                                                               21	
  –	
  22	
  	
  
                                                                                                              March	
  ‘13	
  




                                                                                                                   ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  The	
  technologies	
  that	
  was	
  designed	
  for	
  use	
  in	
  the	
  cloud	
  from	
  
   the	
  beginning.	
  
•  Lots	
  of	
  emerging	
  technologies	
  and	
  companies	
  
   •  Current	
  ones	
  which	
  are	
  definitely	
  interesFng	
  include	
  Acunu,	
  
      Cassandra,	
  DataStax,	
  Cloudera,	
  HortonWorks,	
  MarkLogic,	
  
      Couchbase,	
  etc.	
  but	
  this	
  is	
  not	
  a	
  definiFve	
  list	
  	
  
   •  All	
  the	
  big	
  vendors	
  (IBM,	
  Oracle,	
  EMC,	
  SAP,	
  etc.)	
  also	
  have	
  big	
  
      data	
  offerings	
  
•  Many	
  of	
  these	
  technologies	
  being	
  deployed	
  besides	
  
   tradiFonal	
  database	
  technologies	
  
   •  Very	
  low	
  cost	
  as	
  the	
  soMware	
  is	
  free	
  and	
  by	
  definiFon	
  they	
  use	
  
      elasFc	
  compute	
  
                                                                                                                     18	
  
Brussels	
  



BI	
  Tools	
  In	
  the	
  Cloud	
  
                                                                                                            21	
  –	
  22	
  	
  
                                                                                                           March	
  ‘13	
  




                                                                                                                ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  Technical	
  deployment	
  of	
  ReporFng	
  and	
  Data	
  VisualisaFon	
  
   Tools	
  in	
  the	
  cloud	
  is	
  the	
  easiest	
  part	
  of	
  the	
  process	
  	
  
•  Each	
  product	
  has	
  a	
  defined	
  deployment	
  model	
  just	
  as	
  they	
  do	
  
   in	
  an	
  in-­‐house	
  data	
  centre	
  
   •  Obtain	
  the	
  servers	
  (co-­‐located,	
  hosted	
  or	
  elasFc)	
  and	
  install	
  the	
  
      soMware	
  and	
  connect	
  to	
  the	
  data	
  servers	
  
•  Some	
  hosFng	
  and	
  infrastructure	
  companies	
  will	
  provide	
  pre-­‐
   deployed	
  soMware	
  packages	
  

•  The	
  quesFon	
  is	
  does	
  your	
  soMware	
  vendor	
  understand	
  offer	
  
   an	
  effecFve	
  SaaS	
  licencing	
  model	
  –	
  most	
  maintain	
  their	
  
   exisFng	
  ‘per	
  seat’	
  licence	
  model	
  rather	
  than	
  pay	
  by	
  use	
  model	
                  19	
  
Brussels	
  



Big	
  Data	
  Landscape	
  
                                21	
  –	
  22	
  	
  
                               March	
  ‘13	
  




                                    ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                      20	
  
Brussels	
  



Full	
  Stack	
  Cloud	
  Providers	
  
                                                                                                           21	
  –	
  22	
  	
  
                                                                                                          March	
  ‘13	
  




                                                                                                               ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  Some	
  companies	
  have	
  the	
  depth	
  of	
  tools	
  (ETL,	
  Database,	
  
   ReporFng)	
  and	
  faciliFes	
  to	
  provide	
  a	
  full	
  BI	
  in	
  the	
  cloud	
  stack	
  

    •  IBM	
  
         •  Datastage,	
  Netezza,	
  Cognos	
  and	
  various	
  Big	
  Data	
  Technologies	
  
    •  MicrosoM	
  
         •  SSIS,	
  SQL	
  Server	
  2012,	
  ReporFng	
  Services	
  and	
  Hadoop	
  
    •  Oracle	
  
         •  Oracle	
  Technology	
  on	
  Demand	
  stack	
  (Exadata,	
  Discoverer,	
  etc.)	
  
    •  SAP	
  BI	
  On	
  Demand	
  
         •  Business	
  Objects	
  reporFng	
  and	
  ETL	
  with	
  SAP	
  HANA	
  

                                                                                                                 21	
  
•  In	
  pracFce	
  some	
  are	
  more	
  mature	
  than	
  others	
  in	
  this	
  area	
  
Brussels	
  



The	
  Positive	
  Impact	
  of	
  Cloud	
  
                                                                                                          21	
  –	
  22	
  	
  
                                                                                                         March	
  ‘13	
  




                                                                                                              ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  The	
  provisioning	
  of	
  technology	
  should	
  be	
  faster	
  
•  The	
  cost	
  base	
  should	
  be	
  more	
  predictable	
  for	
  compute	
  
   resources	
  
•  The	
  cloud	
  is	
  an	
  excellent	
  way	
  to	
  trial	
  new	
  technologies	
  and	
  to	
  
   run	
  rapid	
  developments	
  in	
  a	
  Skunk	
  Works	
  approach	
  




                                                                                                                22	
  
Brussels	
  



The	
  Negative	
  Impact	
  of	
  Cloud	
  
                                                                                                          21	
  –	
  22	
  	
  
                                                                                                         March	
  ‘13	
  




                                                                                                              ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  Most	
  BI	
  operaFons	
  have	
  to	
  deal	
  with	
  an	
  IT	
  department	
  
   already	
  –	
  this	
  doesn’t	
  change	
  and	
  may	
  even	
  be	
  more	
  complex	
  	
  
•  Always	
  consider	
  the	
  cost	
  of	
  moving	
  large	
  amounts	
  of	
  data	
  
   from	
  an	
  in-­‐house	
  system	
  to	
  the	
  cloud	
  –	
  this	
  is	
  oMen	
  the	
  
   breaking	
  point	
  for	
  cloud	
  based.	
  
•  The	
  reverse	
  may	
  also	
  be	
  true	
  –	
  your	
  operaFonal	
  systems	
  may	
  
   be	
  put	
  in	
  the	
  cloud	
  before	
  you	
  have	
  BI	
  there,	
  in	
  which	
  case	
  
   you	
  will	
  be	
  paying	
  to	
  download	
  the	
  data	
  
•  There	
  are	
  many	
  more	
  operaFonal	
  issues	
  than	
  technical	
  issues	
  
   around	
  moving	
  service	
  provision	
  to	
  the	
  cloud	
  

                                                                                                                23	
  
Brussels	
  



What	
  doesn’t	
  change	
  
                                                                                                                        21	
  –	
  22	
  	
  
                                                                                                                       March	
  ‘13	
  




                                                                                                                            ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
•  Cloud	
  and	
  SaaS	
  are	
  just	
  the	
  latest	
  iteraFon	
  of	
  cost	
  management	
  
   concepts	
  (Timeshare,	
  Outsourcing,	
  etc.)	
  for	
  IT	
  
•  They	
  can	
  help	
  with	
  the	
  baseline	
  costs	
  of	
  a	
  BI	
  project	
  by	
  providing	
  
   and	
  managing	
  the	
  commodity	
  components	
  of	
  the	
  environment	
  

•  But	
  …	
  

•  Most	
  BI	
  projects	
  are	
  about	
  an	
  interacFon	
  between	
  the	
  business	
  and	
  
   IT	
  systems	
  
•  They	
  are	
  about	
  rapidly	
  delivering	
  informaFon	
  in	
  a	
  constantly	
  
   changing	
  environment	
  
•  <10%	
  of	
  the	
  TCO	
  over	
  10	
  years	
  is	
  in	
  infrastructure	
  –	
  the	
  rest	
  is	
  in	
  
   people,	
  development	
  of	
  ETL,	
  support,	
  change	
  	
                                                           24	
  
Brussels	
  



Geek	
  &	
  Poke’s	
  View	
  …	
  
                                         21	
  –	
  22	
  	
  
                                        March	
  ‘13	
  




                                             ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
                                               25	
  

hfp://geekandpoke.typepad.com	
  	
  
Brussels	
  



About	
  Us	
  
                                                                                                          21	
  –	
  22	
  	
  
                                                                                                         March	
  ‘13	
  




                                                                                                          13	
  November	
  
  Data	
  Management	
  &	
  Warehousing	
  is	
  a	
  UK	
  based	
  consultancy	
  




                                                                                                          2012	
  
that	
  has	
  been	
  delivering	
  successful	
  business	
  intelligence	
  and	
  data	
  
                        warehousing	
  soluFons	
  since	
  1995.	
  	
  




                                                                                                              ©	
  2012	
  Data	
  Management	
  &	
  Warehousing	
  
                                               	
  
  Our	
  consultants	
  have	
  worked	
  with	
  major	
  corporaFons	
  around	
  
 the	
  world	
  including	
  the	
  US,	
  Europe,	
  Africa	
  and	
  the	
  Middle	
  East.	
  	
  
                                               	
  
     We	
  have	
  worked	
  in	
  many	
  industry	
  sectors	
  such	
  as	
  telcos,	
  
    manufacturing,	
  retail,	
  financial	
  and	
  transport.	
  We	
  provide	
  
 governance	
  and	
  project	
  management	
  as	
  well	
  as	
  experFse	
  in	
  the	
  
                               leading	
  technologies.	
  	
  
                                                                                                               26	
  
Brussels	
  



Contact	
  Us	
  
                                                                                 21	
  –	
  22	
  	
  
                                                                                March	
  ‘13	
  




                                                                                 13	
  November	
  
•  Data	
  Management	
  &	
  Warehousing	
  




                                                                                 2012	
  
   •  Website:	
  hfp://datamgmt.com	
  
   •  Telephone:	
  UK	
  +44	
  118	
  321	
  5930	
  




                                                                                     ©	
  2012	
  Data	
  Management	
  &	
  Warehousing	
  
   •  	
          	
   US	
  +1	
  716	
  406	
  3311	
  
•  David	
  Walker	
  
   •    E-­‐Mail:	
  davidw@datamgmt.com	
  
   •    Telephone:	
  +44	
  (0)	
  7990	
  594	
  372	
  
   •    Skype:	
  datamgmt	
  
   •    White	
  Papers:	
          	
  hfp://datamgmt.com/white-­‐papers	
  
   •    PresentaFons:	
             	
  hfp://datamgmt.com/presentaFons	
  
   •    Blog:           	
          	
  hfp://datamgmt.com/blog	
  
                                                                                      27	
  
Brussels	
  
                                                21	
  –	
  22	
  	
  
                                               March	
  ‘13	
  




                                                    ©	
  2013	
  Data	
  Management	
  &	
  Warehousing	
   datamgmt.com	
  
BI	
  Software	
  as	
  a	
  Service	
  	
  
&	
  
Cloud	
  Strategies	
  for	
  Telcos	
  	
  
Thank	
  You	
  



                                                      28	
  

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BI SaaS & Cloud Strategies for Telcos

  • 1. Brussels   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   BI  Software  as  a  Service     &   Cloud  Strategies  for  Telcos     David  M  Walker   Data  Management  &  Warehousing   1  
  • 2. Brussels   Cloud  Computing  (Since  1970)   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   In  1970  a  service  provider   would  have  owned  a   mainframe  and  provided   clients  with  a  connecFon   that  allowed  them  to   interact  with  the  system.   Many  companies  would   have  accessed  this  system   sharing  the  resource  on   demand     The  terminology  has  changed  and  the  technology  has  been  updated   but  the  funcFonality  remains  the  same.     “Cloud  compuFng  is  the  use  of  compuFng  resources  (hardware  and   soMware)  that  are  delivered  as  a  service  over  a  network  (typically  the   Internet).  Cloud  compuFng  entrusts  remote  services  with  a  user's   2   data,  soMware  and  computaFon.”  -­‐  Wikipedia  
  • 3. Brussels   Cloud  Computing  Architecture   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   3  
  • 4. Brussels   The  ‘as  a  Service’  Stack   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  The  more  standard  the   business  applicaFon  the   higher  up  the  stack  it  is   possible  to  go   •  Most  organisaFons  can   do  e-­‐mail,  ERP,  CRM  as   SaaS   •  There  is  also  NaaS  –   Network  as  a  Service   that  provides  the   connecFvity  to  the   cloud  &  between  clouds   4  
  • 5. Brussels   Cloud  Models   21  –  22     March  ‘13   •  Public   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  Services  provided  by  a  service  provider,  usually   offered  on  a  pay  per  use  model  measured  by  CPU,   Storage,  Network  Bandwidth,  AcFve  Seats,  etc.   •  Private   •  Services  built  by  an  organisaFon  for  it’s  own  use   but  using  the  technologies  and  techniques  of   public  cloud  compuFng  –  really  only  available  to   large  corporates  and  governments   •  Community   •  Services  built  by  a  group  of  organisaFons  who  use   common  resources  or  share  common  concerns   (security,  compliance,  etc.)   •  Hybrid   •  CombinaFon  of  Public  and  Private/Community   environment  using  allowing  commodity   components  where  possible  and  bespoke  cloud   services  where  necessary   5  
  • 6. Brussels   Public  vs.  Private  Cloud   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  Public  cloud  has  an  iniFal  (very)  low  cost  with  predictable   long-­‐term  cost  –  although  the  long-­‐term  cost  is  oMen   considered  quite  high  –  private  cloud  is  costly  to  setup  and   long-­‐term  cost  is  unpredictable   •  Scale-­‐up  and  scale-­‐out  are  easier  on  public  cloud  as  the   service  provider  is  responsible  for  ensuring  resources  are   available  at  a  pre-­‐determined  cost   •  Security  &  privacy  of  data  on  public  cloud  will  always  be  a   concern.  There  are  addiFonal  concerns  over  data  locaFon  –   can  data  be  moved  between  states?  Can  rouge  states  host   their  applicaFons  in  the  same  hosted  environment  as  your   company  servers?  etc.   6  
  • 7. Brussels   Elastic  Services   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  In  order  to  get  more  resource  cloud  based  services  have  ways  to   enable  organisaFons  to  get  more  physical  or  virtual  servers  quickly   and  easily   •  ElasFc  services  allow  organisaFons  to  expand  or  contract  the  size  of   their  individual  servers  (CPU/Disk/Bandwidth)  based  on  need   •  This  is  not  usually  transparent  as  it  oMen  requires  a  reboot   •  ElasFc  disk  space  is  usually  slower  than  dedicated  disks   •  Choice  of  database  technology  will  affect  choices   •  Appliances  need  to  be  hosted  or  co-­‐located   •  Column-­‐store  databases  are  very  effecFve  in  elasFc  compute  as  the   they  use  less  resources  compared  to  the  raw  data  or  row  based  dbs     •  Big  Data  technologies  favour  large  numbers  of  elasFc  compute   7   technologies  but  this  can  get  expensive    
  • 8. Brussels   The  BI  Systems  Model   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   Database   Database   Staging     Staging     Data   ReporFng   Source   ETL     Data  Mart   ETL  Server   Warehouse   Tools   Systems   Server   Database   Database   Servers   •  Most  BI/DWH  soluFons  do  &  will  look  something  like  this   •  There  will  be  a  corporate  strategy  for  operaFonal  systems   •  Legacy  systems  will  be  in-­‐house   •  New  systems  may  be  in-­‐house  or  in  the  cloud   •  Even  if  an  organisaFon  is  commifed  to  a  fully  cloud  based  future   there  will  be  a  transiFonal  state  which  is  mixed  mode   8  
  • 9. Brussels   Deployment  Model  1   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   Database   Database   Staging     Staging     Data   ReporFng   Source   ETL     Data  Mart   ETL  Server   Warehouse   Tools   Systems   Server   Database   Database   Servers   In    House   In  The  Cloud   •  ExisFng  Data  Warehouse  retained  in  house   •  Data  Marts  &  ReporFng  Tools  migrated  to  the  cloud   •  ETL  Server  has  to  deliver  ‘ETL’  (i.e.  data  ready  for  direct  load)   •  ReporFng  via  web  interface   •  Desktop  tools  used  via  Remote  Desktop   •  Favoured  as  a  first  step  into  the  cloud     9   •  Experiments  in  public  cloud  and  for  extranet  usage    
  • 10. Brussels   Deployment  Model  2   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   Database   Database   Staging     Staging     Data   ReporFng   Source   ETL     Data  Mart   ETL  Server   Warehouse   Tools   Systems   Server   Database   Database   Servers   In    House   In  The  Cloud   •  Deployment  with  two  ETL  servers   •  First  ETL  Server  loads  the  data  warehouse   •  Second  ETL  server  has  to  deliver  ‘ELT’  to  ensure  that  performance   is  sufficient  and  uses  a  pull  model   10  
  • 11. Brussels   Deployment  Model  3   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   Database   Database   Staging     Staging     Data   ReporFng   Source   ETL     Data  Mart   ETL  Server   Warehouse   Tools   Systems   Server   Database   Database   Servers   In    House   In  The  Cloud   •  Deployment  with  two  ETL  servers   •  First  ETL  Server  loads  the  staging  area,  this  is  normally  a  literal   staging  area  and  therefore  is  just  ‘EL’  (no  ‘T’)   •  Second  ETL  server  has  to  deliver  ‘ELT’  to  ensure  that  performance   is  sufficient  and  uses  a  pull  model     11  
  • 12. Brussels   Deployment  Model  4   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   Database   Database   Staging     Staging     Data   ReporFng   Source   ETL     Data  Mart   ETL  Server   Warehouse   Tools   Systems   Server   Database   Database   Servers   In    House   In  The  Cloud   •  Deployment  with  a  single  cloud  based  ETL  server   •  Normal  BI  operaFons  but  all  of  the  BI  is  in  the  cloud   •  More  oMen  used  with  Private  cloud  due  to  security  concerns   12  
  • 13. Brussels   Deployment  Model  5   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   Database   Database   Staging     Staging     Data   ReporFng   Source   ETL     Data  Mart   ETL  Server   Warehouse   Tools   Systems   Server   Database   Database   Servers   In  The  Cloud   •  Fully  cloud  based  environment   •  No  issues  around  data  movement  volumes   •  Security  concerns  will  have  been  addressed  because  all   corporate  data  is  in  the  cloud  already   13  
  • 14. Brussels   Legacy  Deployment  Model     21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   Database   Database   Staging     Staging     Data   ReporFng   Source   ETL     Data  Mart   ETL  Server   Warehouse   Tools   Systems   Server   Database   Database   Servers   In  The   In    House   Cloud   •  Fully  cloud  based  environment  for  operaFonal  systems   •  Data  being  dragged  back  into  legacy  BI  system   •  Issues  with  migraFng  legacy  BI  technologies  to  the  cloud   14  
  • 15. Brussels   Major  Issues   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  Volume  of  data  over  the  network   •  Whichever  (distributed)  deployment  model  is  used  at  some  point   significant  amounts  of  data  will  have  to  moved  across  the   network  –  this  is  the  slowest  component  of  any  BI  soluFon  and   introduces  cost  and  latency   •  Punching  a  hole  in  the  firewall   •  Many  organisaFons  will  be  concerned  about  deploying  an  ETL   tool  in  the  cloud  that  needs  fill  read  access  to  all  it’s  major   systems  –  deployment  models  that  restrict  this  access  tend  to  be   more  popular   •  Compliance   •  Can  you  move  your  data  outside  your  state  and  any  other  range   of  regulaFons     •  US  -­‐  FISMA,HIPAA,  SOX;  EU  –  Data  ProtecFon  DirecFve;  etc.   15  
  • 16. Brussels   Appliances  in  the  cloud   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  All  physical  appliances  in  the  cloud  have  to  be  hosted  or  co-­‐ located   •  Oracle  Exadata,  IBM  Netezza,  InfoBright  Infopliance   •  All  offer  some  managed  service,  implementaFon  with  preferred   partners  or  self-­‐build  cloud  opFons   •  Virtual  Appliance  providers  allow  elasFc  services  to  be  used  as   well  as  being  hosted  or  co-­‐located   •  EMC  Greenplum,  ParAccel   •  These  technologies  have  community  ediFons  which  allow  try   before  you  buy   •  Again  all  offer  some  managed  service,  implementaFon  with   preferred  partners  or  self-­‐build  cloud  opFons         16  
  • 17. Brussels   Column  Store  In  the  Cloud   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  Column  Store  databases  well  suited  to  cloud  implementaFons   •  UK  operator  data  being  loaded  into  a  column  store  database   •  2.6  Billion  call  data  records  (CDR)  per  day   •  114Gb  of  data  in  raw  files  including  reference  data   •  <  2.5  hours  to  transfer  to  server  and  load  data   •  Database  grows  by  7Gb  per  day  –  effecFve  compression  16.25:1   •  Players  in  the  market  offering  services  in  this  area  include:   •  AcFan  Vectorwise*,  HP  VerFca,  InfoBright*,  MicrosoM  SQL  Server   2012,  SAP  Sybase  IQ   •  *These  technologies  have  community  ediFons  which  allow  try   before  you  buy  –  others  have  low  cost  PoC  opFons   17   •  All  available  in  co-­‐locaFon,  hosted  and  elasFc  service  models    
  • 18. Brussels   Big  Data  in  the  Cloud   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  The  technologies  that  was  designed  for  use  in  the  cloud  from   the  beginning.   •  Lots  of  emerging  technologies  and  companies   •  Current  ones  which  are  definitely  interesFng  include  Acunu,   Cassandra,  DataStax,  Cloudera,  HortonWorks,  MarkLogic,   Couchbase,  etc.  but  this  is  not  a  definiFve  list     •  All  the  big  vendors  (IBM,  Oracle,  EMC,  SAP,  etc.)  also  have  big   data  offerings   •  Many  of  these  technologies  being  deployed  besides   tradiFonal  database  technologies   •  Very  low  cost  as  the  soMware  is  free  and  by  definiFon  they  use   elasFc  compute   18  
  • 19. Brussels   BI  Tools  In  the  Cloud   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  Technical  deployment  of  ReporFng  and  Data  VisualisaFon   Tools  in  the  cloud  is  the  easiest  part  of  the  process     •  Each  product  has  a  defined  deployment  model  just  as  they  do   in  an  in-­‐house  data  centre   •  Obtain  the  servers  (co-­‐located,  hosted  or  elasFc)  and  install  the   soMware  and  connect  to  the  data  servers   •  Some  hosFng  and  infrastructure  companies  will  provide  pre-­‐ deployed  soMware  packages   •  The  quesFon  is  does  your  soMware  vendor  understand  offer   an  effecFve  SaaS  licencing  model  –  most  maintain  their   exisFng  ‘per  seat’  licence  model  rather  than  pay  by  use  model   19  
  • 20. Brussels   Big  Data  Landscape   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   20  
  • 21. Brussels   Full  Stack  Cloud  Providers   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  Some  companies  have  the  depth  of  tools  (ETL,  Database,   ReporFng)  and  faciliFes  to  provide  a  full  BI  in  the  cloud  stack   •  IBM   •  Datastage,  Netezza,  Cognos  and  various  Big  Data  Technologies   •  MicrosoM   •  SSIS,  SQL  Server  2012,  ReporFng  Services  and  Hadoop   •  Oracle   •  Oracle  Technology  on  Demand  stack  (Exadata,  Discoverer,  etc.)   •  SAP  BI  On  Demand   •  Business  Objects  reporFng  and  ETL  with  SAP  HANA   21   •  In  pracFce  some  are  more  mature  than  others  in  this  area  
  • 22. Brussels   The  Positive  Impact  of  Cloud   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  The  provisioning  of  technology  should  be  faster   •  The  cost  base  should  be  more  predictable  for  compute   resources   •  The  cloud  is  an  excellent  way  to  trial  new  technologies  and  to   run  rapid  developments  in  a  Skunk  Works  approach   22  
  • 23. Brussels   The  Negative  Impact  of  Cloud   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  Most  BI  operaFons  have  to  deal  with  an  IT  department   already  –  this  doesn’t  change  and  may  even  be  more  complex     •  Always  consider  the  cost  of  moving  large  amounts  of  data   from  an  in-­‐house  system  to  the  cloud  –  this  is  oMen  the   breaking  point  for  cloud  based.   •  The  reverse  may  also  be  true  –  your  operaFonal  systems  may   be  put  in  the  cloud  before  you  have  BI  there,  in  which  case   you  will  be  paying  to  download  the  data   •  There  are  many  more  operaFonal  issues  than  technical  issues   around  moving  service  provision  to  the  cloud   23  
  • 24. Brussels   What  doesn’t  change   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   •  Cloud  and  SaaS  are  just  the  latest  iteraFon  of  cost  management   concepts  (Timeshare,  Outsourcing,  etc.)  for  IT   •  They  can  help  with  the  baseline  costs  of  a  BI  project  by  providing   and  managing  the  commodity  components  of  the  environment   •  But  …   •  Most  BI  projects  are  about  an  interacFon  between  the  business  and   IT  systems   •  They  are  about  rapidly  delivering  informaFon  in  a  constantly   changing  environment   •  <10%  of  the  TCO  over  10  years  is  in  infrastructure  –  the  rest  is  in   people,  development  of  ETL,  support,  change     24  
  • 25. Brussels   Geek  &  Poke’s  View  …   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   25   hfp://geekandpoke.typepad.com    
  • 26. Brussels   About  Us   21  –  22     March  ‘13   13  November   Data  Management  &  Warehousing  is  a  UK  based  consultancy   2012   that  has  been  delivering  successful  business  intelligence  and  data   warehousing  soluFons  since  1995.     ©  2012  Data  Management  &  Warehousing     Our  consultants  have  worked  with  major  corporaFons  around   the  world  including  the  US,  Europe,  Africa  and  the  Middle  East.       We  have  worked  in  many  industry  sectors  such  as  telcos,   manufacturing,  retail,  financial  and  transport.  We  provide   governance  and  project  management  as  well  as  experFse  in  the   leading  technologies.     26  
  • 27. Brussels   Contact  Us   21  –  22     March  ‘13   13  November   •  Data  Management  &  Warehousing   2012   •  Website:  hfp://datamgmt.com   •  Telephone:  UK  +44  118  321  5930   ©  2012  Data  Management  &  Warehousing   •      US  +1  716  406  3311   •  David  Walker   •  E-­‐Mail:  davidw@datamgmt.com   •  Telephone:  +44  (0)  7990  594  372   •  Skype:  datamgmt   •  White  Papers:    hfp://datamgmt.com/white-­‐papers   •  PresentaFons:    hfp://datamgmt.com/presentaFons   •  Blog:    hfp://datamgmt.com/blog   27  
  • 28. Brussels   21  –  22     March  ‘13   ©  2013  Data  Management  &  Warehousing   datamgmt.com   BI  Software  as  a  Service     &   Cloud  Strategies  for  Telcos     Thank  You   28