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©  2010  -­‐  2012  Constella/on  Research,  Inc.    All  rights  reserved.      ©  2010  –  2012  Constella/on  Research,  Inc.    All  rights  reserved.       www.ConstellationRG.com

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Social Analytics In The Enterprise The Value Behind the Hype

Alan Lepofsky!VP and Principal Analyst!

February 2012!

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What  is  Social  Analy/cs?  

People  

Consumer    Examples  

Enterprise  Examples  

Content  

Interac/ons  

Learning  from  your  network    

Help  employees  get  their  jobs  done  

Agenda

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What Is Social Analytics?

hOps://secure.flickr.com/photos/61056899@N06/5751301741/  

Collec*ng  and  measuring  data  on  the  interac*on  between  people  and  objects.  

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"There  is  a  misconcep/on    that  tons  of  data  means  you  have  tons  of  intelligence.    

Data  does  not  speak  for  itself.”    -­‐  Neil  Raden,  Constella/on  Research  

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Everyday,  we  create  2.5  quin/llion  bytes  of  data  –  so  much  that  90%  of  the  

data  in  the  world  today  has  been  created  in  the  last  

two  years  alone.  

ibm.com/sogware/data/bigdata/  

How Big Is Big?

A  quin/llion  bytes  is  an  exabyte  or  one  billion  gigabytes,  so:  2,500,000,000,000,000,000    

1  Bit  =  Binary  Digit  

8  Bits  =  1  Byte  

1000  Bytes  =  1  Kilobyte  

1000  Kilobytes  =  1  Megabyte  

1000  Megabytes  =  1  Gigabyte  

1000  Gigabytes  =  1  Terabyte  

1000  Terabytes  =  1  Petabyte  

1000  Petabytes  =  1  Exabyte  

1000  Exabytes  =  1  ZeOabyte  

1000  ZeOabytes  =  1  YoOabyte    

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Where Does The Information Come From?

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Not Just About Creating More Pages

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It’s  not  just  the  content  alone  that  is  important.  

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It’s  about  the  people…  

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…  and  the  interac/ons  

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Limited Metadata = Limited Analytics

Older  styles  of    communica/on  provide  liOle  more  than    an  address  book  to  see  who  you’re  connected  to.  

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Along Came Social Networking

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Friends and Followers Personal  contacts  evolved  to  dynamic  networks  

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Recommend Connections

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Who Is In Your Network?

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Now Add In Content

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Many Ways To Interact (The New Verbs)

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Interactions With Your Network

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Leaderboards

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Who Is Your Content Reaching?

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Regular  Search  

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Social  Search  

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How Is Your Audience Reacting?

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What Is Your Audience Interested In?

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And Where Are They?

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Metadata is the Backbone of Social Analytics Author  

Readers  

Loca/on  

Device  

Reshares  

Time  

Version  

Favourites  

Tags  

Comments  

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Demographics and Psychographics

Interests,  Likes,  Aptudes,  Sen/ment  

Age,  Gender,  Loca/on,  Income,  Marital  status,  Religion    

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How Can All the Data Be Used?

   

Ac/ons  

Content  

People  

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Social  Analy/cs  At  Work  

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ontent  

olleagues  C  

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Intelligent Recommendations

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Finding The Right People

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Finding The Right People

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Who Are the Key Influencers?

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Motivation Via Leaderboards

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Which Pages Are People Finding Useful?

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Who Is Your Content Reaching?

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Social Search

Sales   Marke/ng  

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Community Analytics

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Community Analytics

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Community Analytics

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Community Health Index

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Measuring Employee Satisfaction

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Workforce Insight

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Social Analytics Meets Workforce Management

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What  Have  We  Learned?  

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Let’s Review

Data  does  not  speak  for  itself  

Not  just  content,  people  and  interac/ons  

Metadata  around  social  objects  

Content  &  colleagues  (recommenda/ons)  

Enhanced  search  results  

Sen/ment  analysis  

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§  Infographics:  visual.ly,  peekanaly/cs,  twitsprout,  argylesocial,  etc.  

§  APIs  –  need  to  discuss  if/how  vendors  provide  access  to  the  metadata  and  algorithms  used  in  social  analy/cs  

Two  areas  for  future  conversa/on  


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