- No amount of statistical work will overcome the various inadequacies in the quality of data collected and how inappropriate these might be for measuring success with Twitter, blogging, Facebook or Xing.
- Most often when ranking social media, no specific model is specified in advance. Instead, data suggest a model that is often quite vague to begin with.
- Over-reliance on simple-minded statistics in assessing the impact of social media is a challenge. We must find ways to better understand ranking and statistical tools and augment these with other means of assessment.
- Find out – read on we tell you the story.
Ever more we no longer just worry about the usability of a web site such as MySpace or Facebook. Usability helps to find out what possible problems could be a reason why vonersions are not happening at the rate projected. Web 2.0 or Web 3.0 metrics help in identifying the scope and cost of the problem, as well as how much earnings could be increased by resolving the issue.
Putting usability assessment and Web 3.0 metrics together supports your efforts in increasing your corporation’s profitability when it comes to its social media activities.
Unfortunately, we have been hung up on using single indicators and these may often be based on simple-minded statistics as discussed here:
CEO-suite blogger, Facebook, Furl, LinkedIn, MySpace, Twitter – warning
As the above argues, indicators may appear accurate, objective and simple, the rarely if ever are. Numbers are not inherently better than sound judgments. Find out more here:
What is your opinion, submit your comments, critique or ideas below.
And no, maybe we can create sensible statistics. However, like with one consulting with experts when practicing Web 3.0 work, surely one ought to consult with statisticians when practicing statistics.
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