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Marshall Sponder
Webmetricsguru.com
November 23rd, 2010, London
Confusion and Uncertainty surround vast number of
Analytics Service Providers, Clients, needs and wants
Effective Listening requires mapping
information against a model
• Each Business and each Business Sector is different.
We need to understand how the business functions,
and map it to how we measure.
• Understand Business Context in order to make online
listening effective (i.e.: how does online behavior
map back to a business need) then map Business
Context to Measurement Context.
• Learn to translate information monitoring and
analytics platforms gather and map these to
business processes and ultimately to business
reports.
Stakes are High, How do you choose?
Getting to the right answers starts by gathering
contextually relevant information
• Know what a client really needs to
know (often unarticulated, start
with needs analysis and gap
analysis).
• Find out what to “listen for” (define
as specific phrases, often complex
keyword queries).
• Organize monitoring around the
questions we are trying to answer
and make sense of for the clients
(and for ourselves).
Technology and implementation
choices have a profound impact on
time spent listening and gathering
information and ultimately, providing
insight.
• Information flow growing so quickly everyone has a fragmented view of what is
available. Platform consultants such as myself, are more aware of what is going on
“out there” and can advise on choices.
• Choices are often made without fully understanding what is available (both
vendor & clients share this problem) create much longer workflow. More
expansive to support and producing employee dissatisfaction.
• Ability to organize, synthesize information quickly.
Able to build very complex models (taxonomies)
• Merge keyword based search technologies with
semantic capabilities (machine learning)
• Able to handle massive query strings (as there are
massive amounts of data to collect and process,
more every day).
• Digital Strategy most effective when creativity is married
with a deep mastery of technical platforms used to deliver
messaging and listen for responses (& engage audience
with).
• Entire teams should understand and master all aspects of
the technologies used to listen and engage.
• Ensure that whatever is promised to clients can be
delivered comfortably.
• If strategy and technology are done well, no one needs to
work more than 40-50 hours a week. Long hours are a
function of broken internal processes and bad technology
choices (often difficult to back out of).
can run massive amounts of data very quickly
Keyword Query is several pages long – most platforms can not handle such a
query. Analysis of client’s data requires more powerful platforms and
technologies than most companies end up using.
Most use cases above require processing massive
amounts of data quickly
• Find out what to listen for and marry your business
goals with your measurement processes.
• Technology can make or break your business, need to
know what’s out there and make the right choices.
• The wrong technologies make more work to do, the
right technologies eliminate much of the work.
• Platforms that can handle very large datasets are
needed for more complex problems, and these
platforms are becoming more in vogue today.
11111 finding the right answer using social media monitoring   integrasco event nov 23rd london-final

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11111 finding the right answer using social media monitoring integrasco event nov 23rd london-final

  • 2. Confusion and Uncertainty surround vast number of Analytics Service Providers, Clients, needs and wants
  • 3. Effective Listening requires mapping information against a model • Each Business and each Business Sector is different. We need to understand how the business functions, and map it to how we measure. • Understand Business Context in order to make online listening effective (i.e.: how does online behavior map back to a business need) then map Business Context to Measurement Context. • Learn to translate information monitoring and analytics platforms gather and map these to business processes and ultimately to business reports.
  • 4. Stakes are High, How do you choose?
  • 5.
  • 6.
  • 7. Getting to the right answers starts by gathering contextually relevant information • Know what a client really needs to know (often unarticulated, start with needs analysis and gap analysis). • Find out what to “listen for” (define as specific phrases, often complex keyword queries). • Organize monitoring around the questions we are trying to answer and make sense of for the clients (and for ourselves).
  • 8.
  • 9. Technology and implementation choices have a profound impact on time spent listening and gathering information and ultimately, providing insight.
  • 10. • Information flow growing so quickly everyone has a fragmented view of what is available. Platform consultants such as myself, are more aware of what is going on “out there” and can advise on choices. • Choices are often made without fully understanding what is available (both vendor & clients share this problem) create much longer workflow. More expansive to support and producing employee dissatisfaction.
  • 11. • Ability to organize, synthesize information quickly. Able to build very complex models (taxonomies) • Merge keyword based search technologies with semantic capabilities (machine learning) • Able to handle massive query strings (as there are massive amounts of data to collect and process, more every day).
  • 12. • Digital Strategy most effective when creativity is married with a deep mastery of technical platforms used to deliver messaging and listen for responses (& engage audience with). • Entire teams should understand and master all aspects of the technologies used to listen and engage. • Ensure that whatever is promised to clients can be delivered comfortably. • If strategy and technology are done well, no one needs to work more than 40-50 hours a week. Long hours are a function of broken internal processes and bad technology choices (often difficult to back out of).
  • 13. can run massive amounts of data very quickly Keyword Query is several pages long – most platforms can not handle such a query. Analysis of client’s data requires more powerful platforms and technologies than most companies end up using.
  • 14. Most use cases above require processing massive amounts of data quickly
  • 15.
  • 16.
  • 17. • Find out what to listen for and marry your business goals with your measurement processes. • Technology can make or break your business, need to know what’s out there and make the right choices. • The wrong technologies make more work to do, the right technologies eliminate much of the work. • Platforms that can handle very large datasets are needed for more complex problems, and these platforms are becoming more in vogue today.

Notes de l'éditeur

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