Big Data in Australia
Vendor Review and Big Data Opportunities from Social Business Intelligence
1 July2013
“Big data is going to usher in an even more important
corollary industry - big interpretation. Our problem in
social media isn’t lack of data; it’s lack of understanding
how to make that data actionable. Most big data projects
and companies are only answering half the question, at
best.”
Jay Baer
Agenda
Australian Big-Data Comparative Analysis
What is Social Business Intelligence?
Challenges of Social Data Streams
Use Cases for Social Business Intelligence
Opportunities
4
Global Big-Data conversation
5
Australian Big-Data conversation
Big-Data Vendors in Australia
6
Where is the Australian Big-Data conversation?
7
Big-Data Australian Influencers
8
9
10
Customers	
  and	
  compe/tors	
  are	
  ac/ve	
  across	
  social	
  
•  Not	
  just	
  customer	
  support	
  
•  Their	
  behaviors	
  are	
  dynamic	
  and	
  reflect	
  on	
  all	
  business	
  units	
  	
  
•  Social	
  business	
  intelligence	
  (big	
  data)	
  needs	
  to	
  be	
  used	
  beyond	
  “the	
  brand”	
  
•  Not	
  using	
  it	
  now,	
  cross-­‐func/onally,	
  puts	
  you	
  at	
  a	
  business	
  disadvantage	
  
@Michae1Green"
What is Social Business Intelligence?
•  Social intelligence is the
process of monitoring,
collecting, and
analysing data from
social sources to make
informed and agile
business and policy
decisions.
•  Social intelligence
makes sense of the
endless number of
tweets, comments,
posts, and other social
data and turns it into
actionable insight.
Cross-Business Integration is Required
13
•  True Social Business Intelligence is a holistic approach
designed to drive business outcomes
•  Real value = using intelligence to derive insights
•  Insights provide strategic opportunity to engage in new and
innovative ways with customers, prospects, partners and
other stakeholders
•  Social Business Intelligence should continually be moving
towards ‘real time’ analysis (conversations wait for no one)
Social Business Intelligence
@Michae1Green"
Okay, Bullshit Aside, Now What?!
•  Signal to noise ratio is high – often difficult to extract the
gold you are seeking
•  The intelligence finds you – have to be very clear on what
you are asking
•  You manage what you measure – are you asking the right
questions?
•  Hard to determine what you should be asking
Challenges of Social Data Streams
Challenges of Social Data Streams
•  Organizing data into meaningful categories
in easy to understand ways
•  Filtering out some content
•  Daily effort required to retag data –
especially sentiment data
•  Easy to trivialise the effort it takes to sift,
sort, filter, categorise and analyse the data
into true social business intelligence.
•  Free monitoring tools rarely provide access
to ALL data
•  Measurement is not Analysis
•  Analysis is not always Insight
•  Monitoring is not the same as
Research
•  Intelligence requires knowledge of
the business as well as the data
Understanding What You Seek
Use Cases for Social Business Intelligence
•  Improve product and service development
•  Improve target marketing
•  New Product Launch research
•  Improve Customer Loyalty
•  Policy or initiative review
Use Cases for Social Business Intelligence
How Social Technologies are Extending the
Organisation
21
EXECUTE

OPERATIONALISE THE SOCIAL BUSINESS CENTER OF EXCELLENCE"
CUSTOMER SERVICE!
• Rapid Social Support
Response"
• Seamless Customer
Experience"
• Peer-to-Peer Crowd-
sourced Support"
"
DIGITAL
COMMUNICATIONS &
PR!
• Online Reputation
Management"
• Crisis Management"
• Proactive PR/Comms"
"
"
"
SOCIAL SALES!
• Sales Insights "
• Competitive Intelligence"
• Lead Response Centre"
"
DIGITAL MARKETING!
• Social Marketing Insights"
• Rapid Social Marketing
Response"
• Social Campaign Tracking"
• Social Event Management"
@Michae1Green"
Use Case Support	
  
	
  
Social CRM Use Cases reflect Social BI Use
Cases
23
Where does Social fit with Big Data?
24
You DO NOT want ANOHER one of THESE!
25
Opportunities
•  Research projects including Strategic Assessments
•  Social Business Intelligence gathering, processing,
analysis
•  Social Business Intelligence to Strategy services
•  Social Business Intelligence to Business Integration
•  Assisting in culture and people development
•  Case Study Development e.g. Client Strategic Projects
Kinship Digital Social Business
Intelligence Services
Moving from Social Listening to Smart
Enterprise
28
The Goal is Business Action
29
Kinship Digital are able to work with you to
strategically position SBI
CEO	
  Social	
  
Vision	
  	
  
IT	
  
McKinsey	
  
Kinship	
  
Social	
  
Business	
  
Strategy	
  
ü Align	
  the	
  SBT	
  efforts	
  to	
  the	
  business	
  vision	
  
ü Spanning	
  from	
  IT	
  to	
  the	
  business	
  ini/a/ves	
  
ü Fully	
  understanding	
  and	
  aligning	
  with	
  the	
  other	
  social	
  ac/vi/es	
  and	
  plans	
  
“Data is of no use if you don’t know what to do with it.
2012 will see brands increasingly looking for social media
data analysts who understand what to do with big data
and how to use it for business results.”
Marc Meyer
32
CONTACT
Michael Green
mike@kinshipdigital.com
+61 422 300 296

Big Data Australian Vendor Review

  • 1.
    Big Data inAustralia Vendor Review and Big Data Opportunities from Social Business Intelligence 1 July2013
  • 2.
    “Big data isgoing to usher in an even more important corollary industry - big interpretation. Our problem in social media isn’t lack of data; it’s lack of understanding how to make that data actionable. Most big data projects and companies are only answering half the question, at best.” Jay Baer
  • 3.
    Agenda Australian Big-Data ComparativeAnalysis What is Social Business Intelligence? Challenges of Social Data Streams Use Cases for Social Business Intelligence Opportunities
  • 4.
  • 5.
  • 6.
  • 7.
    Where is theAustralian Big-Data conversation? 7
  • 8.
  • 9.
  • 10.
  • 11.
    Customers  and  compe/tors  are  ac/ve  across  social   •  Not  just  customer  support   •  Their  behaviors  are  dynamic  and  reflect  on  all  business  units     •  Social  business  intelligence  (big  data)  needs  to  be  used  beyond  “the  brand”   •  Not  using  it  now,  cross-­‐func/onally,  puts  you  at  a  business  disadvantage   @Michae1Green"
  • 12.
    What is SocialBusiness Intelligence? •  Social intelligence is the process of monitoring, collecting, and analysing data from social sources to make informed and agile business and policy decisions. •  Social intelligence makes sense of the endless number of tweets, comments, posts, and other social data and turns it into actionable insight.
  • 13.
  • 14.
    •  True SocialBusiness Intelligence is a holistic approach designed to drive business outcomes •  Real value = using intelligence to derive insights •  Insights provide strategic opportunity to engage in new and innovative ways with customers, prospects, partners and other stakeholders •  Social Business Intelligence should continually be moving towards ‘real time’ analysis (conversations wait for no one) Social Business Intelligence
  • 15.
  • 16.
    •  Signal tonoise ratio is high – often difficult to extract the gold you are seeking •  The intelligence finds you – have to be very clear on what you are asking •  You manage what you measure – are you asking the right questions? •  Hard to determine what you should be asking Challenges of Social Data Streams
  • 17.
    Challenges of SocialData Streams •  Organizing data into meaningful categories in easy to understand ways •  Filtering out some content •  Daily effort required to retag data – especially sentiment data •  Easy to trivialise the effort it takes to sift, sort, filter, categorise and analyse the data into true social business intelligence. •  Free monitoring tools rarely provide access to ALL data
  • 18.
    •  Measurement isnot Analysis •  Analysis is not always Insight •  Monitoring is not the same as Research •  Intelligence requires knowledge of the business as well as the data Understanding What You Seek
  • 19.
    Use Cases forSocial Business Intelligence
  • 20.
    •  Improve productand service development •  Improve target marketing •  New Product Launch research •  Improve Customer Loyalty •  Policy or initiative review Use Cases for Social Business Intelligence
  • 21.
    How Social Technologiesare Extending the Organisation 21
  • 22.
    EXECUTE
 OPERATIONALISE THE SOCIALBUSINESS CENTER OF EXCELLENCE" CUSTOMER SERVICE! • Rapid Social Support Response" • Seamless Customer Experience" • Peer-to-Peer Crowd- sourced Support" " DIGITAL COMMUNICATIONS & PR! • Online Reputation Management" • Crisis Management" • Proactive PR/Comms" " " " SOCIAL SALES! • Sales Insights " • Competitive Intelligence" • Lead Response Centre" " DIGITAL MARKETING! • Social Marketing Insights" • Rapid Social Marketing Response" • Social Campaign Tracking" • Social Event Management" @Michae1Green" Use Case Support    
  • 23.
    Social CRM UseCases reflect Social BI Use Cases 23
  • 24.
    Where does Socialfit with Big Data? 24
  • 25.
    You DO NOTwant ANOHER one of THESE! 25
  • 26.
  • 27.
    •  Research projectsincluding Strategic Assessments •  Social Business Intelligence gathering, processing, analysis •  Social Business Intelligence to Strategy services •  Social Business Intelligence to Business Integration •  Assisting in culture and people development •  Case Study Development e.g. Client Strategic Projects Kinship Digital Social Business Intelligence Services
  • 28.
    Moving from SocialListening to Smart Enterprise 28
  • 29.
    The Goal isBusiness Action 29
  • 30.
    Kinship Digital areable to work with you to strategically position SBI CEO  Social   Vision     IT   McKinsey   Kinship   Social   Business   Strategy   ü Align  the  SBT  efforts  to  the  business  vision   ü Spanning  from  IT  to  the  business  ini/a/ves   ü Fully  understanding  and  aligning  with  the  other  social  ac/vi/es  and  plans  
  • 31.
    “Data is ofno use if you don’t know what to do with it. 2012 will see brands increasingly looking for social media data analysts who understand what to do with big data and how to use it for business results.” Marc Meyer
  • 32.