The raw data coming off any sizable Web site is so copious, so unmanageable, that analysis paralysis is sure to set in unless you first take the time ...
View articleClaim someone's attention. Bring that person into your sphere of influence. Turn that person into a paying customer. Keep that person as a customer. C...
View articleOnly if you know where you're going can you measure whether and how fast you're getting there. First you have to talk it out with your colleagues. And...
View articleOn Quantitative Data -- / How ample to rely / In Tumult -- or Extremity -- / How good the Certainty / ... / Though None be on our Side... In other wor...
View articleFrom New York to Italy, and measure for measure, readers have been responding to Janet'scall for sharing customer performance metrics. The long and sh...
View articleIf two heads are better than one, imagine what can happen when Janet and ClickZ readers put their heads together. For one, you get a starting point fo...
View articleJust when she thought she would be spending weeks and weeks writing about definitions, designations, meanings, descriptions, classifications -- well, ...
View articleYou don't have to be Shakespeare to get people to understand you; you just have to define your terms. Read More...
View articleHow can you derive meaning from a chaotic world made of vast sets of data points? Well, you could turn to religion... Maybe even ideology. But if you'...
View articleInformation may be power, but data is not information. It takes insight, understanding, and interpretation to turn data into information, and the firs...
View articleData analysis is both an art and a science, and though the science of it is critical, so is the art: determining which information will hold the great...
View articleCustomization -- good. Stereotyping -- bad. Personalization -- good. Too personal -- bad. Data mining and profiling -- good. Intruding and encroaching...
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