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大数据时代的用户体验革命

The new era of using ‘Big Data’ to empower customers with better user experience
Green Drinks Shanghai at Arup Shanghai / 24 September 2015
⺩王佳⻰龙(Kalo Wang)
CEO	
  of	
  	
  Dynamic	
  Data	
  	
  
Executive	
  Director	
  of	
  Loop	
  Advertising	
  Group.	
  	
  
In	
  2009,I	
  founded	
  a	
  big	
  data	
  monitoring	
  institute	
  called	
  
BuzzReader	
  and	
  then	
  BuzzReader	
  was	
  merged	
  by	
  Publicis	
  
Groupe	
  which	
  is	
  the	
  3rd	
  biggest	
  marketing	
  group	
  in	
  the	
  
world.	
  In	
  2013,	
  I	
  founded	
  the	
  Big	
  Data	
  Solution	
  company	
  -­‐	
  
Dynamic	
  Data,	
  focusing	
  on	
  data	
  management	
  and	
  serving	
  
over	
  30	
  of	
  the	
  world's	
  top	
  500	
  enterprises.
百联⼲⼴广场免费Wi-­‐Fi百联⼲⼴广场免费Wi-­‐Fi
百联⼲⼴广场免费Wi-­‐Fi
Scan	
  the	
  PIC	
  to	
  link	
  Wi-­‐Fi Choose	
  the	
  Loading	
  type Match	
  the	
  consumer’	
  
identification	
  and	
  typical	
  tags	
  via	
  
dynamic	
  database	
  in	
  millisecond
百联⼲⼴广场免费Wi-­‐Fi
Selecting	
  the	
  optimal	
  Ads	
  base	
  
on	
  the	
  typical	
  tags
Label	
  the	
  typical	
  consumption	
  tag	
  
as	
  “want	
  to	
  purchase	
  mobile	
  
phone”	
  via	
  its	
  behaviors	
  as	
  search,	
  
favorite	
  and	
  add	
  to	
  cart	
  etc.
尊敬的⽤用户,欢迎光临百联⼲⼴广场。	
  
您已成功登陆Wi-­‐Fi。	
  
⼿手机专柜在本⼲⼴广场北座⼀一楼。华为荣
耀3x现货发售,欢迎体验。	
  
更多详情请点击下图,也可登陆⺴⽹网络
商城直接购买。	
  
Applications	
  Scenarios1
Consumer	
  Image	
  
• Profile	
  
• Interests	
  
• News	
  &	
  Information	
  • Consumption	
  Reference	
  
• Games	
  	
  • Consumption	
  Places
运营商
国内的主要电信运营商
Consumer	
  Image2
• 360°	
  consumer	
  image	
  description,	
  real-­‐time	
  updates	
  on	
  long	
  term	
  and	
  short	
  term	
  tags,	
  know	
  
consumer	
  better	
  than	
  consumer	
  himself
male 1989 shanghai
Tongji	
  University Wujiaochang
football
auto
military
foreign	
  language
games
Movie
Online	
  novels
12	
  months:	
  Sports	
  News(45)Current	
  news(20)Celebrity(15)
3	
  months:	
  Sports	
  News(35)	
  Current	
  news	
  (15)Job	
  
hunting(15)
12	
  months:	
  	
  Sneakers(55) Capability:2	
  	
  Reference:	
  Celebrities	
  Style
12	
  months:	
  WOW(60)	
  Winning	
  Eleven(20)
3	
  months:	
  app-World	
  II	
  Hunting	
  BOSS
3	
  months:	
  Business	
  Suit(65)Capability:2	
  	
  Reference:	
  Fashion,	
  Casual
otaku
12	
  months:	
  TJ	
  university-­‐corporate	
  spending(40)Wanda-­‐Shopping	
  
mall(15)
3	
  months:	
  Wanda-­‐Shopping	
  mall(65) People	
  Square-­‐Haoledi-­‐KTV	
  (15)
Consumer	
  Identification3
• Matching	
  the	
  virtual	
  and	
  real	
  identity	
  via	
  multi-­‐dimensions	
  to	
  accurately	
  target	
  the	
  
individual	
  consumer
Virtual	
  Identity
• PC(User	
  ID,Cookie	
  etc. )	
  
• Mobile(unique	
  device	
  ID	
  as	
  
IMEI、IMSI、MAC	
  add	
  etc.)
Real	
  Identity	
  
• Name
• Identity	
  ID
• Address
• Mobile Number
• E-Mail
• SNS ID(Sina Weibo、Tencent
Weibo、QQ etc.)
Data	
  sources4
Big	
  Data	
  Program5
• Leveraging	
  users	
  as	
  the	
  core	
  and	
  integrating	
  all-­‐round	
  data	
  to	
  figure	
  out	
  the	
  real	
  consumer	
  information	
  
and	
  provide	
  an	
  effective	
  way	
  to	
  support	
  the	
  decision	
  making.
	
  
Data	
  Integration
Data	
  Processing
Data	
  Application
*Marketing	
  &	
  Sales:
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Marketing	
  channel	
  management	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Precision	
  marketing	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Customized	
  service	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Marketing	
  positioning	
  
*Products:
	
  	
  	
  	
  	
  	
  	
  	
  	
  Product	
  innovation	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Product	
  planning	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Individual	
  product	
  customization	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  Product	
  trend	
  analysis	
  
*Business	
  &	
  Market:
	
  	
  	
  	
  	
  	
  	
  	
  	
  Market	
  demand	
  analysis	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Consumer	
  group	
  size	
  prediction	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Target	
  consumer	
  needs	
  analysis	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Potential	
  consumer	
  needs	
  analysis	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
*Data	
  cleaning	
  
*Data	
  matching	
  
*Data	
  mining	
  
*Data	
  value	
  reading	
  
*Data	
  value	
  chain	
  building	
  
*Data	
  value	
  accounting	
  liquidity	
  
*Data	
  value	
  rebuilding	
  
*Data	
  value	
  reprocessing
*Owned	
  data	
  pool	
  
*Co-­‐operative	
  data	
  pool	
  
*Third	
  party	
  data	
  pool
Satisfy	
  with	
  
the	
  existing	
  
consumers
我看到有需
求的客户
我梦想得到理想价值
客户
Members	
  Management6
Brand
Figure	
  out	
  the	
  
members	
  who	
  has	
  
demand	
  
Obtain	
  the	
  
potential	
  
members	
  	
  
Reach	
  more	
  	
  core	
  loyal	
  
members
Members	
  in
M
embers	
  in
z
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您被邀请参加财付通精选的理财产品知识
普及活动,根据您的理财需求选择最适合的理
财产品!⽴立即参加 >>
D*N<49890233@qq.com>
Weibo
banner
QQ
E-DM
Online	
  target	
  users	
  mining7
Location	
  Selection8
Geography+	
  population	
  +	
  Business+……
Thank you

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The New Era of Using ‘Big Data’ to Empower Customers with Better User Experience

  • 1. 
 大数据时代的用户体验革命
 The new era of using ‘Big Data’ to empower customers with better user experience Green Drinks Shanghai at Arup Shanghai / 24 September 2015
  • 2. ⺩王佳⻰龙(Kalo Wang) CEO  of    Dynamic  Data     Executive  Director  of  Loop  Advertising  Group.     In  2009,I  founded  a  big  data  monitoring  institute  called   BuzzReader  and  then  BuzzReader  was  merged  by  Publicis   Groupe  which  is  the  3rd  biggest  marketing  group  in  the   world.  In  2013,  I  founded  the  Big  Data  Solution  company  -­‐   Dynamic  Data,  focusing  on  data  management  and  serving   over  30  of  the  world's  top  500  enterprises.
  • 3.
  • 4. 百联⼲⼴广场免费Wi-­‐Fi百联⼲⼴广场免费Wi-­‐Fi 百联⼲⼴广场免费Wi-­‐Fi Scan  the  PIC  to  link  Wi-­‐Fi Choose  the  Loading  type Match  the  consumer’   identification  and  typical  tags  via   dynamic  database  in  millisecond 百联⼲⼴广场免费Wi-­‐Fi Selecting  the  optimal  Ads  base   on  the  typical  tags Label  the  typical  consumption  tag   as  “want  to  purchase  mobile   phone”  via  its  behaviors  as  search,   favorite  and  add  to  cart  etc. 尊敬的⽤用户,欢迎光临百联⼲⼴广场。   您已成功登陆Wi-­‐Fi。   ⼿手机专柜在本⼲⼴广场北座⼀一楼。华为荣 耀3x现货发售,欢迎体验。   更多详情请点击下图,也可登陆⺴⽹网络 商城直接购买。   Applications  Scenarios1
  • 5. Consumer  Image   • Profile   • Interests   • News  &  Information  • Consumption  Reference   • Games    • Consumption  Places 运营商 国内的主要电信运营商 Consumer  Image2 • 360°  consumer  image  description,  real-­‐time  updates  on  long  term  and  short  term  tags,  know   consumer  better  than  consumer  himself male 1989 shanghai Tongji  University Wujiaochang football auto military foreign  language games Movie Online  novels 12  months:  Sports  News(45)Current  news(20)Celebrity(15) 3  months:  Sports  News(35)  Current  news  (15)Job   hunting(15) 12  months:    Sneakers(55) Capability:2    Reference:  Celebrities  Style 12  months:  WOW(60)  Winning  Eleven(20) 3  months:  app-World  II  Hunting  BOSS 3  months:  Business  Suit(65)Capability:2    Reference:  Fashion,  Casual otaku 12  months:  TJ  university-­‐corporate  spending(40)Wanda-­‐Shopping   mall(15) 3  months:  Wanda-­‐Shopping  mall(65) People  Square-­‐Haoledi-­‐KTV  (15)
  • 6. Consumer  Identification3 • Matching  the  virtual  and  real  identity  via  multi-­‐dimensions  to  accurately  target  the   individual  consumer Virtual  Identity • PC(User  ID,Cookie  etc. )   • Mobile(unique  device  ID  as   IMEI、IMSI、MAC  add  etc.) Real  Identity   • Name • Identity  ID • Address • Mobile Number • E-Mail • SNS ID(Sina Weibo、Tencent Weibo、QQ etc.)
  • 8. Big  Data  Program5 • Leveraging  users  as  the  core  and  integrating  all-­‐round  data  to  figure  out  the  real  consumer  information   and  provide  an  effective  way  to  support  the  decision  making.   Data  Integration Data  Processing Data  Application *Marketing  &  Sales:                    Marketing  channel  management                      Precision  marketing                      Customized  service                      Marketing  positioning   *Products:                  Product  innovation                      Product  planning                                        Individual  product  customization                                        Product  trend  analysis   *Business  &  Market:                  Market  demand  analysis                      Consumer  group  size  prediction                      Target  consumer  needs  analysis                      Potential  consumer  needs  analysis                         *Data  cleaning   *Data  matching   *Data  mining   *Data  value  reading   *Data  value  chain  building   *Data  value  accounting  liquidity   *Data  value  rebuilding   *Data  value  reprocessing *Owned  data  pool   *Co-­‐operative  data  pool   *Third  party  data  pool
  • 9. Satisfy  with   the  existing   consumers 我看到有需 求的客户 我梦想得到理想价值 客户 Members  Management6 Brand Figure  out  the   members  who  has   demand   Obtain  the   potential   members     Reach  more    core  loyal   members Members  in M embers  in