SlideShare une entreprise Scribd logo
1  sur  50
Télécharger pour lire hors ligne
Marshall Sponder, Founder, WebMetricsGuru
Future of Analytics
We’re drinking from the social media fire hose




    Massive data to process and make sense of it all
      But … We Don’t Need to boil the ocean!
8
5
Internet Abundant with Predictive Signals
Beyond Listening:
   Reinventing Social Media Monitoring

If a status
update reaches
a social network
but no one sees
it, does it exist?
Are people using the
  wrong solutions to
determine what people
     are saying?
@listening as a use case …
      Why Bother??

          “the problem with social is that there is so
          much data - there’s 40 or 50 data points
          that you can measure and you have to
          figure out whether they are important.
          Some of those measurements are
          fundamentally not important.
Next Steps in Business Intelligence
   Reporting
   Application

   App Server

  DB/DW          Bus


1960 - 2010: Business intelligence =
Enterprise database reports            2010 - : Web emerges as
                                       go to source for Intelligence


                                                Unstructured
                                                  content
                                                  Streams
                                                   Cloud
                                                deployment
Pain!!
                                       • Broad listening across the internet
Blogs           Forums        Press


                                       • Focused on keyword matches
                 News
  Social         Sites   Trade Sites
 Networks

                                           – Mentions of
                                               • Brand name “Starbucks”
                                               • Product names “Frappuccino”


                                       • Produces valuable insights, but
                                         is exploratory in nature, as a
                                         result, it can not answer tactical
                                         questions and is not scalable.


            “I’m drowning in data and documents from
            the internet but I need actionable insights”
8 Brand Monitoring Challenges

1. Signal to Noise Ratio
2. Not Scalable, too manual
3. Insightful vs. Actionable
4. Poor Geography / Location
5. Local Data Gap / Blind Spot
6. Platforms often lack needed segmentation capabilities
7. Correspondence between Online chatter vs. Offline Word of
    Mouth is Industry dependent
8. No established, universally acceptable standards for conducting
    social listening
Too Much To Read
Problems we all face with Social




                               No Process
                        Success Undefined
                        90 % Unstructured
                          Time Consuming
                             Hard to Scale

                      esp. at the beginning
“Lens” approach using
Boolean queries and saved
  datasets don’t seem to
      work very well
Monitoring has become too complex




  http://www.youtube.com
  /watch?v=4Y-SVxnVOv8
                                    Radian6 Query on Foreclosures in Rhode Island
"housing solution"~2 AND "rhode island" AND "foreclosure", "road home program"~3 AND
"foreclosure", "home loan modification"~4 AND "foreclosure", "jobless rate"~3 AND
"foreclosure", "bankrupcy" AND "foreclosure" AND "housing" AND "obama", "rhode island
housing"~3 AND "forclosure", "foreclosure prevention funds"~5, "bank foreclosures rhode
island"~4 AND "obama", "selling house"~4 AND "foreclosure" AND "obama", "hardest hit
fund"~4, "national foreclosure mitigation"~6, "homeowner stability initiative"~5 AND
"obama", "roadhome program"~2, "hud homes rhode island"~3 AND "obama", "foreclosure
settlement"~4 AND "25 billion"~2 AND "obama", "fannie mae freddie mac"~10 AND
"foreclosure", "keeping people in their homes"~4
Best Solutions Designs
~20+ Issues (profiles) permutations much
too expensive (RI Congressional Race)
And we don’t get our
  “Pie in the Sky”
New Solutions Lie in …
• Adding additional dimensions to the data (i.e.:
  time, place)
• Adding Custom Taxonomies, Lexicons and data
  mashups helps, if done well and cleanly
• Customizing the source data feeds
• Customizing Data Extraction from Pages Crawled
• Defining what your goals are
• Defining what, when, where and how your going to
  accomplish your goals
• Define your Key Performance Indicators that tell
  you if you hit or missed your goal targets
Looking into the future with web media analytics  marshall sponder - montreal - 5-15-12
Recorded
Future
Web is Loaded with Events
        Silicon Valley executives head to
        Vail, Colo. next week for the        Drought and malnutrition hinder next year’s
        annual Pacific Crest Technology      development plans in Yemen...
        Leadership Forum
                                The carrier may select partners to set up
                                a new carrier as early as next month




        “2010 is the year when Iran will kick out             “...opposition organizers
         Islam. Ya Ahura we will.”                             plan to meet on Thursday
                                                               to protest...”
                  “... Dr Sarkar says the new facility will
                   be operational by March 2014...”



          “Excited to see Mubarak                       “According to TechCrunch
           speak this weekend...”
                                “Strange new Russian China’s new 4G network will
                                 worm set to unleash     be deployed by mid-2010”
                                 botnet on 4/1/2012...”
From Keywords to
      Timelines
                     Timeline
                     the
                     World/Web




“Record what the world
knows about the future”
Looking into the future with web media analytics  marshall sponder - montreal - 5-15-12
Looking into the future with web media analytics  marshall sponder - montreal - 5-15-12
Looking into the future with web media analytics  marshall sponder - montreal - 5-15-12
Looking into the future with web media analytics  marshall sponder - montreal - 5-15-12
Looking into the future with web media analytics  marshall sponder - montreal - 5-15-12
Recorded Future Architecture


70,000 Real-time Sources



                                                    100,000 future events/day



                           3+ Billion Time-tagged Facts
The RF temporal timeline is unique – the closest analogy is Google
Trends and Google Insights for search, that do employ some
predictive analysis, but only for traffic volume, not events.
                        Kindle Fire AND iPad
Mobile and Tablets - Next three years
          Huge market segments still emerging




• Over 75% of businesses plan on deploying tablets by 2013
• Revolutionizing health care delivery, on-site and mobile
• Disrupting software engineering and user expectations
Actionable Intelligence gleamed from
 LBS instead of exploratory insights




                                                                   Geo-Location Analytics
             from SMM




                                                                       VenueLabs –
                  They mess up here A LOT! If I wasn’t in a rush
                  nor a coffee addict I would go somewhere
                  else!


                                         New Insights
 Traditional Insights
                                Location        Date /Time
     Topic
   Sentiment               Staff Working               Managers
   Influence               Local Context              Unit Sales
  Engagement                     Nearby Competitors
VenueLabs solves Local Data Gap Example

           They mess up here A LOT! If I wasn’t in a rush
           nor a coffee addict I would go somewhere else!
New York Art Instance - VenueLabs
Most active
Museums?
Detailed Stats on
 each location
Local Data
                                    Analytics
                                       of
                                   Museums


                                    Online
                                   Visitation


http://www.museum-analytics.org/
Local Data
 Analytics
    of
Museums


In Person
Visitation
Local Data Analytics of Museums – adding
 location automatically makes info more
           actionable (context)
            Facebook & Twitter
Looking into the future with web media analytics  marshall sponder - montreal - 5-15-12
Looking into the future with web media analytics  marshall sponder - montreal - 5-15-12
Connecting Engagement To Conversions




                                       campalyst.com
Google Social Reports Cannot connect the
dots to ROI (yet) though Campalyst, Can.
Google Social Reports Cannot connect the
dots to ROI (yet) though Campalyst, Can.




        Not enough information – Google cannot connect
        the dots back to the original post that generated
        the referral, but Campalyst does.
Campalyst ties cause and effect for Twitter and
Facebook better than any other platform I’ve yet
seen – marshall sponder – WebMetricsGuru.com
Campalyst can also find the brand advocates that
generate the most traction and engagement for a
brand or website.
And what is an Analytics Plan, Anyway?
Sample Analytics Plan
Example of a Student’s Goal – Resurrecting George Enescu’s Work

Goal:                                                             Audience:
Salvage the reputation of the Romanian 20th        Among          Classical music institutions,
century composer, George Enescu                                   enthusiasts, and musicians alike
Location:                                         Timing:
Ideally GeorgeEnescu.com                           A 6 month campaign period        Through/ With

Vehicle:                                Venues:
Online videos, online networking,        Personal blog, radio stations, youtube,        Ask fans and
podcasts, musicological research         musicological conferences, etc.                customers to
Message:
Enescu’s art ought to be enjoyed and celebrated as the
                                                           Regarding the
work of a deserving, 20th-century master
Program:
Program to promote the musicians and orchestras who wish to
explore Enescu’s work                                                 Success will be judged by

Metrics/KPI’s
Popularity on Google           New business connections         New visitors to        Youtube
Trends                         and partnerships                 website                statistics
Example of a Student’s Goal – Increase Soccer Video Blog visits
   Goal(s):                                                    Audience:
  Increase my blog traffic to 50 views                          FIFA Soccer Video game
                                                    among       players
   Location:                                        Timing :
  Online                                            Spring Semester 2012          through/ with

Vehicle (how your going to do it):             Venues (where your going to do it):
  Targeted keywords, vocal
  commentary & screen capture of
  the game in action, link to other            Wordpress, Facebook, Twitter,         ask fans and
  wordpress blogs                              YouTube, Facebook groups              customers to

    Message (Call(S) to Action):
    Watch video, post comments, ask                         Regarding our
    questions regarding how to play
   Product / Service / Program
   Teaching people how to play FIFA successfully                     Success will be judged by

   Metrics/KPI’s
Number of visitors to blog            Video Views                    Retweets
Example of a Student’s Goal – Get Art Exposure
  Goal(s):                                              Audience:
  Increase exposure of artwork/get                      General public/ art
  name in public eyes                       among       collectors/ art community
  Location:                                  Timing :
  Internet/ studio                           Next two years                through/ with

Vehicle (how your going to do it):   Venues (where your going to do it):
                                                                            ask fans and
  Internet                           Internet and world of mouth
                                                                            customers to
  promotion/networking               amongst community members
  Message (Call(S) to Action):
                                                    Regarding our
  Product / Service / Program
  Artwork (painting and sculpture), conversation                 Success will be
  amongst art community                                          judged by
  Metrics/KPI’s
  Blog views                                 Amounts of comments/conversation
Summary
• The Future of Analytics is with
  Actionable Data

• Actionable Data comes from
  adding contextual information
  and metadata in meaningful
  ways related to your business
  or organizational goals.

• You need a Plan (the right one)
  to execute, together with the
  metrics, audience, timing,
  venue, program /vehicle and
  KPI’s to succeed with Analytics
  of any kind.
WebMetricsGuru.com

 Marshall Sponder
 WebMetricsGuru INC.

 www.webmetricsguru.com
 www.smabook.com

 now.seo@gmail.com
 @webmetricsguru
 @smanalyticsbook



                          WebMetricsGuru INC.

Contenu connexe

Tendances

Analytics For Leaders
Analytics For LeadersAnalytics For Leaders
Analytics For LeadersTunheim
 
The Future Of Social Media Marketing
The Future Of Social Media MarketingThe Future Of Social Media Marketing
The Future Of Social Media MarketingDavid Erickson
 
The NEWs Cycle: How People Interact With Media In The Social Age
The NEWs Cycle: How People Interact With Media In The Social AgeThe NEWs Cycle: How People Interact With Media In The Social Age
The NEWs Cycle: How People Interact With Media In The Social AgeTunheim
 
Social Media Case Studies Compilation #1 - 110210
Social Media Case Studies Compilation #1 - 110210Social Media Case Studies Compilation #1 - 110210
Social Media Case Studies Compilation #1 - 110210FullsourceWP
 
Using Analytics To Investigate, Evaluate & Decide
Using Analytics To Investigate, Evaluate & DecideUsing Analytics To Investigate, Evaluate & Decide
Using Analytics To Investigate, Evaluate & DecideTunheim
 
090320 - CIMA online communications overview
090320 - CIMA online communications overview090320 - CIMA online communications overview
090320 - CIMA online communications overviewGed Carroll
 
Adapting Marketing for a New Era
 Adapting Marketing for a New Era Adapting Marketing for a New Era
Adapting Marketing for a New EraGeronimo Marketing
 
iCitizen 2010: Adaptive Brand Marketing with David Cooperstein from Forrester...
iCitizen 2010: Adaptive Brand Marketing with David Cooperstein from Forrester...iCitizen 2010: Adaptive Brand Marketing with David Cooperstein from Forrester...
iCitizen 2010: Adaptive Brand Marketing with David Cooperstein from Forrester...Resource/Ammirati
 
Social Media Dashboarding by Scott Wilder and semphonic
Social Media Dashboarding by Scott Wilder and semphonicSocial Media Dashboarding by Scott Wilder and semphonic
Social Media Dashboarding by Scott Wilder and semphonicEdelman Digital
 
Social Media Dashboarding (reporting)
Social Media Dashboarding (reporting)Social Media Dashboarding (reporting)
Social Media Dashboarding (reporting)Scott K. Wilder
 
Social Networking Sites: An Academic Approach to Revenue Generation
Social Networking Sites: An Academic Approach to Revenue GenerationSocial Networking Sites: An Academic Approach to Revenue Generation
Social Networking Sites: An Academic Approach to Revenue GenerationKristelle Siarza
 
Social Media and the Future of Small and Medium Sized Business #SMBs
Social Media and the Future of Small and Medium Sized Business #SMBsSocial Media and the Future of Small and Medium Sized Business #SMBs
Social Media and the Future of Small and Medium Sized Business #SMBsDr. William J. Ward
 
Beyond Web Analytics
Beyond Web AnalyticsBeyond Web Analytics
Beyond Web AnalyticsTunheim
 
Innovation through data capitalisation
Innovation through data capitalisationInnovation through data capitalisation
Innovation through data capitalisationJoanne Jacobs
 
Social Media Communications Simplified
Social Media Communications SimplifiedSocial Media Communications Simplified
Social Media Communications SimplifiedKemp Edmonds
 
The Business Case for Transmedia
The Business Case for TransmediaThe Business Case for Transmedia
The Business Case for TransmediaJoanne Jacobs
 
Social Media Intelligence - Listening, Engaging & Adapting
Social Media Intelligence - Listening, Engaging & AdaptingSocial Media Intelligence - Listening, Engaging & Adapting
Social Media Intelligence - Listening, Engaging & AdaptingEarthbound Media Group
 
Joanne Jacobs: How to use Social Media for Small Business
Joanne Jacobs: How to use Social Media for Small BusinessJoanne Jacobs: How to use Social Media for Small Business
Joanne Jacobs: How to use Social Media for Small BusinessLike Minds
 
Learning, influence and trust through social media
Learning, influence and trust through social mediaLearning, influence and trust through social media
Learning, influence and trust through social mediaJoanne Jacobs
 

Tendances (20)

Analytics For Leaders
Analytics For LeadersAnalytics For Leaders
Analytics For Leaders
 
The Future Of Social Media Marketing
The Future Of Social Media MarketingThe Future Of Social Media Marketing
The Future Of Social Media Marketing
 
The NEWs Cycle: How People Interact With Media In The Social Age
The NEWs Cycle: How People Interact With Media In The Social AgeThe NEWs Cycle: How People Interact With Media In The Social Age
The NEWs Cycle: How People Interact With Media In The Social Age
 
Social Media Case Studies Compilation #1 - 110210
Social Media Case Studies Compilation #1 - 110210Social Media Case Studies Compilation #1 - 110210
Social Media Case Studies Compilation #1 - 110210
 
Using Analytics To Investigate, Evaluate & Decide
Using Analytics To Investigate, Evaluate & DecideUsing Analytics To Investigate, Evaluate & Decide
Using Analytics To Investigate, Evaluate & Decide
 
090320 - CIMA online communications overview
090320 - CIMA online communications overview090320 - CIMA online communications overview
090320 - CIMA online communications overview
 
Online PR
Online PROnline PR
Online PR
 
Adapting Marketing for a New Era
 Adapting Marketing for a New Era Adapting Marketing for a New Era
Adapting Marketing for a New Era
 
iCitizen 2010: Adaptive Brand Marketing with David Cooperstein from Forrester...
iCitizen 2010: Adaptive Brand Marketing with David Cooperstein from Forrester...iCitizen 2010: Adaptive Brand Marketing with David Cooperstein from Forrester...
iCitizen 2010: Adaptive Brand Marketing with David Cooperstein from Forrester...
 
Social Media Dashboarding by Scott Wilder and semphonic
Social Media Dashboarding by Scott Wilder and semphonicSocial Media Dashboarding by Scott Wilder and semphonic
Social Media Dashboarding by Scott Wilder and semphonic
 
Social Media Dashboarding (reporting)
Social Media Dashboarding (reporting)Social Media Dashboarding (reporting)
Social Media Dashboarding (reporting)
 
Social Networking Sites: An Academic Approach to Revenue Generation
Social Networking Sites: An Academic Approach to Revenue GenerationSocial Networking Sites: An Academic Approach to Revenue Generation
Social Networking Sites: An Academic Approach to Revenue Generation
 
Social Media and the Future of Small and Medium Sized Business #SMBs
Social Media and the Future of Small and Medium Sized Business #SMBsSocial Media and the Future of Small and Medium Sized Business #SMBs
Social Media and the Future of Small and Medium Sized Business #SMBs
 
Beyond Web Analytics
Beyond Web AnalyticsBeyond Web Analytics
Beyond Web Analytics
 
Innovation through data capitalisation
Innovation through data capitalisationInnovation through data capitalisation
Innovation through data capitalisation
 
Social Media Communications Simplified
Social Media Communications SimplifiedSocial Media Communications Simplified
Social Media Communications Simplified
 
The Business Case for Transmedia
The Business Case for TransmediaThe Business Case for Transmedia
The Business Case for Transmedia
 
Social Media Intelligence - Listening, Engaging & Adapting
Social Media Intelligence - Listening, Engaging & AdaptingSocial Media Intelligence - Listening, Engaging & Adapting
Social Media Intelligence - Listening, Engaging & Adapting
 
Joanne Jacobs: How to use Social Media for Small Business
Joanne Jacobs: How to use Social Media for Small BusinessJoanne Jacobs: How to use Social Media for Small Business
Joanne Jacobs: How to use Social Media for Small Business
 
Learning, influence and trust through social media
Learning, influence and trust through social mediaLearning, influence and trust through social media
Learning, influence and trust through social media
 

Similaire à Looking into the future with web media analytics marshall sponder - montreal - 5-15-12

Semantic web 3.0 paper (2009)
Semantic web 3.0 paper (2009)Semantic web 3.0 paper (2009)
Semantic web 3.0 paper (2009)DirectionFirst
 
How Your Data Can Predict The Future
How Your Data Can Predict The FutureHow Your Data Can Predict The Future
How Your Data Can Predict The FutureBecky Wang
 
Learning from past infrastructure to embrace friction and create the Research...
Learning from past infrastructure to embrace friction and create the Research...Learning from past infrastructure to embrace friction and create the Research...
Learning from past infrastructure to embrace friction and create the Research...Research Data Alliance
 
#1NWebinar: Digital on the Runway
#1NWebinar: Digital on the Runway#1NWebinar: Digital on the Runway
#1NWebinar: Digital on the RunwayOne North
 
Social smarts presenation marshall sponder - updated 9-16-12
Social smarts presenation   marshall sponder - updated 9-16-12Social smarts presenation   marshall sponder - updated 9-16-12
Social smarts presenation marshall sponder - updated 9-16-12Marshall Sponder
 
Over the Horizon: Connecting Technology Trends with the Library of Tomorrow (...
Over the Horizon: Connecting Technology Trends with the Library of Tomorrow (...Over the Horizon: Connecting Technology Trends with the Library of Tomorrow (...
Over the Horizon: Connecting Technology Trends with the Library of Tomorrow (...Mark A. Smith
 
Professional Information Research
Professional Information ResearchProfessional Information Research
Professional Information ResearchEric Kokke
 
Monitoring and Analysis of Online Communities
Monitoring and Analysis of Online CommunitiesMonitoring and Analysis of Online Communities
Monitoring and Analysis of Online CommunitiesThe Open University
 
From semantic platforms to semantic apps
From semantic platforms to semantic appsFrom semantic platforms to semantic apps
From semantic platforms to semantic appsscroisier
 
UXSG2014 Lightning Talks - UX and Semantic web making web more human (Nurgul ...
UXSG2014 Lightning Talks - UX and Semantic web making web more human (Nurgul ...UXSG2014 Lightning Talks - UX and Semantic web making web more human (Nurgul ...
UXSG2014 Lightning Talks - UX and Semantic web making web more human (Nurgul ...ux singapore
 
Engaging Your Audience Through Online Technologies: Session 2
Engaging Your Audience Through Online Technologies: Session 2Engaging Your Audience Through Online Technologies: Session 2
Engaging Your Audience Through Online Technologies: Session 2HRMM
 
Spotter Insight Show 2010. Consumer insight and social media.
Spotter Insight Show 2010. Consumer insight and social media.Spotter Insight Show 2010. Consumer insight and social media.
Spotter Insight Show 2010. Consumer insight and social media.NicolasSaintagne
 
Lecture 7: How to STUDY the Social Web? (2014)
Lecture 7: How to STUDY the Social Web? (2014)Lecture 7: How to STUDY the Social Web? (2014)
Lecture 7: How to STUDY the Social Web? (2014)Lora Aroyo
 
Brian Dowling Web 20 30 Social Networking
Brian Dowling Web 20 30 Social NetworkingBrian Dowling Web 20 30 Social Networking
Brian Dowling Web 20 30 Social Networkingebestes
 
Way out there tech & implications for libraries
Way out there tech & implications for librariesWay out there tech & implications for libraries
Way out there tech & implications for librariesStephen Abram
 
Enterprise Scale Knowledge Graphs
Enterprise Scale Knowledge GraphsEnterprise Scale Knowledge Graphs
Enterprise Scale Knowledge GraphsAnant Narayanan
 
Intelligentcontent2009
Intelligentcontent2009Intelligentcontent2009
Intelligentcontent2009Salim Ismail
 

Similaire à Looking into the future with web media analytics marshall sponder - montreal - 5-15-12 (20)

Semantic web 3.0 paper (2009)
Semantic web 3.0 paper (2009)Semantic web 3.0 paper (2009)
Semantic web 3.0 paper (2009)
 
How Your Data Can Predict The Future
How Your Data Can Predict The FutureHow Your Data Can Predict The Future
How Your Data Can Predict The Future
 
Learning from past infrastructure to embrace friction and create the Research...
Learning from past infrastructure to embrace friction and create the Research...Learning from past infrastructure to embrace friction and create the Research...
Learning from past infrastructure to embrace friction and create the Research...
 
#1NWebinar: Digital on the Runway
#1NWebinar: Digital on the Runway#1NWebinar: Digital on the Runway
#1NWebinar: Digital on the Runway
 
Social smarts presenation marshall sponder - updated 9-16-12
Social smarts presenation   marshall sponder - updated 9-16-12Social smarts presenation   marshall sponder - updated 9-16-12
Social smarts presenation marshall sponder - updated 9-16-12
 
Over the Horizon: Connecting Technology Trends with the Library of Tomorrow (...
Over the Horizon: Connecting Technology Trends with the Library of Tomorrow (...Over the Horizon: Connecting Technology Trends with the Library of Tomorrow (...
Over the Horizon: Connecting Technology Trends with the Library of Tomorrow (...
 
Professional Information Research
Professional Information ResearchProfessional Information Research
Professional Information Research
 
Future of semantic apps
Future of semantic appsFuture of semantic apps
Future of semantic apps
 
Monitoring and Analysis of Online Communities
Monitoring and Analysis of Online CommunitiesMonitoring and Analysis of Online Communities
Monitoring and Analysis of Online Communities
 
From semantic platforms to semantic apps
From semantic platforms to semantic appsFrom semantic platforms to semantic apps
From semantic platforms to semantic apps
 
UXSG2014 Lightning Talks - UX and Semantic web making web more human (Nurgul ...
UXSG2014 Lightning Talks - UX and Semantic web making web more human (Nurgul ...UXSG2014 Lightning Talks - UX and Semantic web making web more human (Nurgul ...
UXSG2014 Lightning Talks - UX and Semantic web making web more human (Nurgul ...
 
Engaging Your Audience Through Online Technologies: Session 2
Engaging Your Audience Through Online Technologies: Session 2Engaging Your Audience Through Online Technologies: Session 2
Engaging Your Audience Through Online Technologies: Session 2
 
Spotter Insight Show 2010. Consumer insight and social media.
Spotter Insight Show 2010. Consumer insight and social media.Spotter Insight Show 2010. Consumer insight and social media.
Spotter Insight Show 2010. Consumer insight and social media.
 
Wassup with Web 2.0
Wassup with Web 2.0Wassup with Web 2.0
Wassup with Web 2.0
 
Lecture 7: How to STUDY the Social Web? (2014)
Lecture 7: How to STUDY the Social Web? (2014)Lecture 7: How to STUDY the Social Web? (2014)
Lecture 7: How to STUDY the Social Web? (2014)
 
Brian Dowling Web 20 30 Social Networking
Brian Dowling Web 20 30 Social NetworkingBrian Dowling Web 20 30 Social Networking
Brian Dowling Web 20 30 Social Networking
 
Way out there tech & implications for libraries
Way out there tech & implications for librariesWay out there tech & implications for libraries
Way out there tech & implications for libraries
 
Enterprise Scale Knowledge Graphs
Enterprise Scale Knowledge GraphsEnterprise Scale Knowledge Graphs
Enterprise Scale Knowledge Graphs
 
Market Research Online - Francesco D'Orazio
Market Research Online - Francesco D'OrazioMarket Research Online - Francesco D'Orazio
Market Research Online - Francesco D'Orazio
 
Intelligentcontent2009
Intelligentcontent2009Intelligentcontent2009
Intelligentcontent2009
 

Plus de Marshall Sponder

Digital marketing analytics paths of value - 12-4-17
Digital marketing analytics   paths of value - 12-4-17Digital marketing analytics   paths of value - 12-4-17
Digital marketing analytics paths of value - 12-4-17Marshall Sponder
 
Online presence assessment analytics selfie updated for spring & summer 2018
Online presence assessment   analytics selfie updated for spring & summer 2018Online presence assessment   analytics selfie updated for spring & summer 2018
Online presence assessment analytics selfie updated for spring & summer 2018Marshall Sponder
 
What went right or wrong on election day - Nov 8th, 2016 USA
What went right or wrong on election day - Nov 8th, 2016 USAWhat went right or wrong on election day - Nov 8th, 2016 USA
What went right or wrong on election day - Nov 8th, 2016 USAMarshall Sponder
 
Assessments 2,3,4,5,6,7,8 marshall sponder
Assessments 2,3,4,5,6,7,8 marshall sponderAssessments 2,3,4,5,6,7,8 marshall sponder
Assessments 2,3,4,5,6,7,8 marshall sponderMarshall Sponder
 
Dbc 2015 analytics for design bloggers -final
Dbc 2015   analytics for design bloggers -finalDbc 2015   analytics for design bloggers -final
Dbc 2015 analytics for design bloggers -finalMarshall Sponder
 
Initial assessment report 1 31-15
Initial assessment report 1 31-15Initial assessment report 1 31-15
Initial assessment report 1 31-15Marshall Sponder
 
Online presence assessment
Online presence assessmentOnline presence assessment
Online presence assessmentMarshall Sponder
 
Scaling online and hybrid training rutgers university 1-14-15 submitted
Scaling online and hybrid training   rutgers university 1-14-15 submittedScaling online and hybrid training   rutgers university 1-14-15 submitted
Scaling online and hybrid training rutgers university 1-14-15 submittedMarshall Sponder
 
Merging Geo Social Data & web analytics at the Metropolitan Museum of ART
Merging Geo Social Data & web analytics at the Metropolitan Museum of ARTMerging Geo Social Data & web analytics at the Metropolitan Museum of ART
Merging Geo Social Data & web analytics at the Metropolitan Museum of ARTMarshall Sponder
 
Fitnyc module 11 mobile analytics overview for fit
Fitnyc module 11    mobile analytics overview for fitFitnyc module 11    mobile analytics overview for fit
Fitnyc module 11 mobile analytics overview for fitMarshall Sponder
 
geo-location and mobile analytics for fashion
geo-location and mobile analytics for fashiongeo-location and mobile analytics for fashion
geo-location and mobile analytics for fashionMarshall Sponder
 
Performance metrics-for-analytics-and-insights
Performance metrics-for-analytics-and-insightsPerformance metrics-for-analytics-and-insights
Performance metrics-for-analytics-and-insightsMarshall Sponder
 
Media math july 11th programmatic wa sponder & matthews - part 2 deck
Media math july 11th   programmatic wa sponder & matthews - part 2 deckMedia math july 11th   programmatic wa sponder & matthews - part 2 deck
Media math july 11th programmatic wa sponder & matthews - part 2 deckMarshall Sponder
 
Secrets of ultra violet data winterpark social analytics forum - marshall s...
Secrets of ultra violet data   winterpark social analytics forum - marshall s...Secrets of ultra violet data   winterpark social analytics forum - marshall s...
Secrets of ultra violet data winterpark social analytics forum - marshall s...Marshall Sponder
 
Ama draft - may 8th - marshall sponder closing keynote - delivered
Ama draft - may 8th - marshall sponder closing keynote - deliveredAma draft - may 8th - marshall sponder closing keynote - delivered
Ama draft - may 8th - marshall sponder closing keynote - deliveredMarshall Sponder
 
Linkedin Analytics Week 11 MKT 9715 baruch mba program Prof Marshall Sponder
Linkedin Analytics Week 11 MKT 9715 baruch mba program Prof Marshall SponderLinkedin Analytics Week 11 MKT 9715 baruch mba program Prof Marshall Sponder
Linkedin Analytics Week 11 MKT 9715 baruch mba program Prof Marshall SponderMarshall Sponder
 
Congresso sm keynote -marshall sponder oct 30th 2013
Congresso sm keynote -marshall sponder oct 30th 2013Congresso sm keynote -marshall sponder oct 30th 2013
Congresso sm keynote -marshall sponder oct 30th 2013Marshall Sponder
 
Umsl challanges for brand measuring social media -marshall sponder - apr...
Umsl    challanges for brand measuring social media  -marshall sponder  - apr...Umsl    challanges for brand measuring social media  -marshall sponder  - apr...
Umsl challanges for brand measuring social media -marshall sponder - apr...Marshall Sponder
 
Integrating social media monitoring, analytics and engagment marshall sponde...
Integrating social media monitoring, analytics and engagment  marshall sponde...Integrating social media monitoring, analytics and engagment  marshall sponde...
Integrating social media monitoring, analytics and engagment marshall sponde...Marshall Sponder
 

Plus de Marshall Sponder (20)

Digital marketing analytics paths of value - 12-4-17
Digital marketing analytics   paths of value - 12-4-17Digital marketing analytics   paths of value - 12-4-17
Digital marketing analytics paths of value - 12-4-17
 
Online presence assessment analytics selfie updated for spring & summer 2018
Online presence assessment   analytics selfie updated for spring & summer 2018Online presence assessment   analytics selfie updated for spring & summer 2018
Online presence assessment analytics selfie updated for spring & summer 2018
 
Humanizing ai final
Humanizing ai   finalHumanizing ai   final
Humanizing ai final
 
What went right or wrong on election day - Nov 8th, 2016 USA
What went right or wrong on election day - Nov 8th, 2016 USAWhat went right or wrong on election day - Nov 8th, 2016 USA
What went right or wrong on election day - Nov 8th, 2016 USA
 
Assessments 2,3,4,5,6,7,8 marshall sponder
Assessments 2,3,4,5,6,7,8 marshall sponderAssessments 2,3,4,5,6,7,8 marshall sponder
Assessments 2,3,4,5,6,7,8 marshall sponder
 
Dbc 2015 analytics for design bloggers -final
Dbc 2015   analytics for design bloggers -finalDbc 2015   analytics for design bloggers -final
Dbc 2015 analytics for design bloggers -final
 
Initial assessment report 1 31-15
Initial assessment report 1 31-15Initial assessment report 1 31-15
Initial assessment report 1 31-15
 
Online presence assessment
Online presence assessmentOnline presence assessment
Online presence assessment
 
Scaling online and hybrid training rutgers university 1-14-15 submitted
Scaling online and hybrid training   rutgers university 1-14-15 submittedScaling online and hybrid training   rutgers university 1-14-15 submitted
Scaling online and hybrid training rutgers university 1-14-15 submitted
 
Merging Geo Social Data & web analytics at the Metropolitan Museum of ART
Merging Geo Social Data & web analytics at the Metropolitan Museum of ARTMerging Geo Social Data & web analytics at the Metropolitan Museum of ART
Merging Geo Social Data & web analytics at the Metropolitan Museum of ART
 
Fitnyc module 11 mobile analytics overview for fit
Fitnyc module 11    mobile analytics overview for fitFitnyc module 11    mobile analytics overview for fit
Fitnyc module 11 mobile analytics overview for fit
 
geo-location and mobile analytics for fashion
geo-location and mobile analytics for fashiongeo-location and mobile analytics for fashion
geo-location and mobile analytics for fashion
 
Performance metrics-for-analytics-and-insights
Performance metrics-for-analytics-and-insightsPerformance metrics-for-analytics-and-insights
Performance metrics-for-analytics-and-insights
 
Media math july 11th programmatic wa sponder & matthews - part 2 deck
Media math july 11th   programmatic wa sponder & matthews - part 2 deckMedia math july 11th   programmatic wa sponder & matthews - part 2 deck
Media math july 11th programmatic wa sponder & matthews - part 2 deck
 
Secrets of ultra violet data winterpark social analytics forum - marshall s...
Secrets of ultra violet data   winterpark social analytics forum - marshall s...Secrets of ultra violet data   winterpark social analytics forum - marshall s...
Secrets of ultra violet data winterpark social analytics forum - marshall s...
 
Ama draft - may 8th - marshall sponder closing keynote - delivered
Ama draft - may 8th - marshall sponder closing keynote - deliveredAma draft - may 8th - marshall sponder closing keynote - delivered
Ama draft - may 8th - marshall sponder closing keynote - delivered
 
Linkedin Analytics Week 11 MKT 9715 baruch mba program Prof Marshall Sponder
Linkedin Analytics Week 11 MKT 9715 baruch mba program Prof Marshall SponderLinkedin Analytics Week 11 MKT 9715 baruch mba program Prof Marshall Sponder
Linkedin Analytics Week 11 MKT 9715 baruch mba program Prof Marshall Sponder
 
Congresso sm keynote -marshall sponder oct 30th 2013
Congresso sm keynote -marshall sponder oct 30th 2013Congresso sm keynote -marshall sponder oct 30th 2013
Congresso sm keynote -marshall sponder oct 30th 2013
 
Umsl challanges for brand measuring social media -marshall sponder - apr...
Umsl    challanges for brand measuring social media  -marshall sponder  - apr...Umsl    challanges for brand measuring social media  -marshall sponder  - apr...
Umsl challanges for brand measuring social media -marshall sponder - apr...
 
Integrating social media monitoring, analytics and engagment marshall sponde...
Integrating social media monitoring, analytics and engagment  marshall sponde...Integrating social media monitoring, analytics and engagment  marshall sponde...
Integrating social media monitoring, analytics and engagment marshall sponde...
 

Dernier

UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UbiTrack UK
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.francesco barbera
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6DianaGray10
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Babel Compiler - Transforming JavaScript for All Browsers.pptx
Babel Compiler - Transforming JavaScript for All Browsers.pptxBabel Compiler - Transforming JavaScript for All Browsers.pptx
Babel Compiler - Transforming JavaScript for All Browsers.pptxYounusS2
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...Aggregage
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
RAG Patterns and Vector Search in Generative AI
RAG Patterns and Vector Search in Generative AIRAG Patterns and Vector Search in Generative AI
RAG Patterns and Vector Search in Generative AIUdaiappa Ramachandran
 
PicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer ServicePicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer ServiceRenan Moreira de Oliveira
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 

Dernier (20)

UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.Digital magic. A small project for controlling smart light bulbs.
Digital magic. A small project for controlling smart light bulbs.
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
Babel Compiler - Transforming JavaScript for All Browsers.pptx
Babel Compiler - Transforming JavaScript for All Browsers.pptxBabel Compiler - Transforming JavaScript for All Browsers.pptx
Babel Compiler - Transforming JavaScript for All Browsers.pptx
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
RAG Patterns and Vector Search in Generative AI
RAG Patterns and Vector Search in Generative AIRAG Patterns and Vector Search in Generative AI
RAG Patterns and Vector Search in Generative AI
 
PicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer ServicePicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer Service
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 

Looking into the future with web media analytics marshall sponder - montreal - 5-15-12

  • 1. Marshall Sponder, Founder, WebMetricsGuru Future of Analytics
  • 2. We’re drinking from the social media fire hose Massive data to process and make sense of it all But … We Don’t Need to boil the ocean! 8 5
  • 3. Internet Abundant with Predictive Signals
  • 4. Beyond Listening: Reinventing Social Media Monitoring If a status update reaches a social network but no one sees it, does it exist?
  • 5. Are people using the wrong solutions to determine what people are saying?
  • 6. @listening as a use case … Why Bother?? “the problem with social is that there is so much data - there’s 40 or 50 data points that you can measure and you have to figure out whether they are important. Some of those measurements are fundamentally not important.
  • 7. Next Steps in Business Intelligence Reporting Application App Server DB/DW Bus 1960 - 2010: Business intelligence = Enterprise database reports 2010 - : Web emerges as go to source for Intelligence Unstructured content Streams Cloud deployment
  • 8. Pain!! • Broad listening across the internet Blogs Forums Press • Focused on keyword matches News Social Sites Trade Sites Networks – Mentions of • Brand name “Starbucks” • Product names “Frappuccino” • Produces valuable insights, but is exploratory in nature, as a result, it can not answer tactical questions and is not scalable. “I’m drowning in data and documents from the internet but I need actionable insights”
  • 9. 8 Brand Monitoring Challenges 1. Signal to Noise Ratio 2. Not Scalable, too manual 3. Insightful vs. Actionable 4. Poor Geography / Location 5. Local Data Gap / Blind Spot 6. Platforms often lack needed segmentation capabilities 7. Correspondence between Online chatter vs. Offline Word of Mouth is Industry dependent 8. No established, universally acceptable standards for conducting social listening
  • 10. Too Much To Read
  • 11. Problems we all face with Social No Process Success Undefined 90 % Unstructured Time Consuming Hard to Scale esp. at the beginning
  • 12. “Lens” approach using Boolean queries and saved datasets don’t seem to work very well
  • 13. Monitoring has become too complex http://www.youtube.com /watch?v=4Y-SVxnVOv8 Radian6 Query on Foreclosures in Rhode Island "housing solution"~2 AND "rhode island" AND "foreclosure", "road home program"~3 AND "foreclosure", "home loan modification"~4 AND "foreclosure", "jobless rate"~3 AND "foreclosure", "bankrupcy" AND "foreclosure" AND "housing" AND "obama", "rhode island housing"~3 AND "forclosure", "foreclosure prevention funds"~5, "bank foreclosures rhode island"~4 AND "obama", "selling house"~4 AND "foreclosure" AND "obama", "hardest hit fund"~4, "national foreclosure mitigation"~6, "homeowner stability initiative"~5 AND "obama", "roadhome program"~2, "hud homes rhode island"~3 AND "obama", "foreclosure settlement"~4 AND "25 billion"~2 AND "obama", "fannie mae freddie mac"~10 AND "foreclosure", "keeping people in their homes"~4
  • 14. Best Solutions Designs ~20+ Issues (profiles) permutations much too expensive (RI Congressional Race)
  • 15. And we don’t get our “Pie in the Sky”
  • 16. New Solutions Lie in … • Adding additional dimensions to the data (i.e.: time, place) • Adding Custom Taxonomies, Lexicons and data mashups helps, if done well and cleanly • Customizing the source data feeds • Customizing Data Extraction from Pages Crawled • Defining what your goals are • Defining what, when, where and how your going to accomplish your goals • Define your Key Performance Indicators that tell you if you hit or missed your goal targets
  • 19. Web is Loaded with Events Silicon Valley executives head to Vail, Colo. next week for the Drought and malnutrition hinder next year’s annual Pacific Crest Technology development plans in Yemen... Leadership Forum The carrier may select partners to set up a new carrier as early as next month “2010 is the year when Iran will kick out “...opposition organizers Islam. Ya Ahura we will.” plan to meet on Thursday to protest...” “... Dr Sarkar says the new facility will be operational by March 2014...” “Excited to see Mubarak “According to TechCrunch speak this weekend...” “Strange new Russian China’s new 4G network will worm set to unleash be deployed by mid-2010” botnet on 4/1/2012...”
  • 20. From Keywords to Timelines Timeline the World/Web “Record what the world knows about the future”
  • 26. Recorded Future Architecture 70,000 Real-time Sources 100,000 future events/day 3+ Billion Time-tagged Facts
  • 27. The RF temporal timeline is unique – the closest analogy is Google Trends and Google Insights for search, that do employ some predictive analysis, but only for traffic volume, not events. Kindle Fire AND iPad
  • 28. Mobile and Tablets - Next three years Huge market segments still emerging • Over 75% of businesses plan on deploying tablets by 2013 • Revolutionizing health care delivery, on-site and mobile • Disrupting software engineering and user expectations
  • 29. Actionable Intelligence gleamed from LBS instead of exploratory insights Geo-Location Analytics from SMM VenueLabs – They mess up here A LOT! If I wasn’t in a rush nor a coffee addict I would go somewhere else! New Insights Traditional Insights Location Date /Time Topic Sentiment Staff Working Managers Influence Local Context Unit Sales Engagement Nearby Competitors
  • 30. VenueLabs solves Local Data Gap Example They mess up here A LOT! If I wasn’t in a rush nor a coffee addict I would go somewhere else!
  • 31. New York Art Instance - VenueLabs
  • 33. Detailed Stats on each location
  • 34. Local Data Analytics of Museums Online Visitation http://www.museum-analytics.org/
  • 35. Local Data Analytics of Museums In Person Visitation
  • 36. Local Data Analytics of Museums – adding location automatically makes info more actionable (context) Facebook & Twitter
  • 39. Connecting Engagement To Conversions campalyst.com
  • 40. Google Social Reports Cannot connect the dots to ROI (yet) though Campalyst, Can.
  • 41. Google Social Reports Cannot connect the dots to ROI (yet) though Campalyst, Can. Not enough information – Google cannot connect the dots back to the original post that generated the referral, but Campalyst does.
  • 42. Campalyst ties cause and effect for Twitter and Facebook better than any other platform I’ve yet seen – marshall sponder – WebMetricsGuru.com
  • 43. Campalyst can also find the brand advocates that generate the most traction and engagement for a brand or website.
  • 44. And what is an Analytics Plan, Anyway?
  • 46. Example of a Student’s Goal – Resurrecting George Enescu’s Work Goal: Audience: Salvage the reputation of the Romanian 20th Among Classical music institutions, century composer, George Enescu enthusiasts, and musicians alike Location: Timing: Ideally GeorgeEnescu.com A 6 month campaign period Through/ With Vehicle: Venues: Online videos, online networking, Personal blog, radio stations, youtube, Ask fans and podcasts, musicological research musicological conferences, etc. customers to Message: Enescu’s art ought to be enjoyed and celebrated as the Regarding the work of a deserving, 20th-century master Program: Program to promote the musicians and orchestras who wish to explore Enescu’s work Success will be judged by Metrics/KPI’s Popularity on Google New business connections New visitors to Youtube Trends and partnerships website statistics
  • 47. Example of a Student’s Goal – Increase Soccer Video Blog visits Goal(s): Audience: Increase my blog traffic to 50 views FIFA Soccer Video game among players Location: Timing : Online Spring Semester 2012 through/ with Vehicle (how your going to do it): Venues (where your going to do it): Targeted keywords, vocal commentary & screen capture of the game in action, link to other Wordpress, Facebook, Twitter, ask fans and wordpress blogs YouTube, Facebook groups customers to Message (Call(S) to Action): Watch video, post comments, ask Regarding our questions regarding how to play Product / Service / Program Teaching people how to play FIFA successfully Success will be judged by Metrics/KPI’s Number of visitors to blog Video Views Retweets
  • 48. Example of a Student’s Goal – Get Art Exposure Goal(s): Audience: Increase exposure of artwork/get General public/ art name in public eyes among collectors/ art community Location: Timing : Internet/ studio Next two years through/ with Vehicle (how your going to do it): Venues (where your going to do it): ask fans and Internet Internet and world of mouth customers to promotion/networking amongst community members Message (Call(S) to Action): Regarding our Product / Service / Program Artwork (painting and sculpture), conversation Success will be amongst art community judged by Metrics/KPI’s Blog views Amounts of comments/conversation
  • 49. Summary • The Future of Analytics is with Actionable Data • Actionable Data comes from adding contextual information and metadata in meaningful ways related to your business or organizational goals. • You need a Plan (the right one) to execute, together with the metrics, audience, timing, venue, program /vehicle and KPI’s to succeed with Analytics of any kind.
  • 50. WebMetricsGuru.com Marshall Sponder WebMetricsGuru INC. www.webmetricsguru.com www.smabook.com now.seo@gmail.com @webmetricsguru @smanalyticsbook WebMetricsGuru INC.

Notes de l'éditeur

  1. http://www.marketingweek.co.uk/news/examining-social-media-data-can-burn-a-hole-in-your-pocket/4000881.article