The impending Age Of Abundance was prophecied in the scriptures thousands of years ago.
The ITU claims that 90 percent of the world's population is already covered by 2G networks, many of which can provide data services like Internet access via slower "2.5G" technologies such as EDGE and GPRS. The more modern 3G networks that have catalyzed the current smart-phone boom by providing richer, quicker mobile experiences have been expanding rapidly and now cover 45 percent of the world's population, more than three billion people.
the unprecedented speed at which mobile computers are spreading
 |
| Big Data, The Moving Parts: Fast Data, Big Analytics, and Deep Insight (Photo credit: Dion Hinchcliffe) |
Peter Fader says a flood of consumer data collected from mobile devices may not help marketers as much as they think. ..... Few ideas hold more sway among entrepreneurs and investors these days than "Big Data." The idea is that we are now collecting so much information about people from their online behavior and, especially, through their mobile phones that we can make increasingly specific predictions about how they will behave and what they will buy. ..... what was going on 15 years ago with CRM (customer relationship management) .... ask anyone today what comes to mind when you say "CRM," and you'll hear "frustration," "disaster," "expensive," and "out of control." It turned out to be a great big IT wild-goose chase. And I'm afraid we're heading down the same road with Big Data ..... many "big data" people don't know what they don't know. ..... the still-powerful rubric of RFM: recency, frequency, monetary value. .... Ask anyone in direct marketing about RFM, and they'll say, "Tell me something I don't know." But ask anyone in e-commerce, and they probably won't know what you're talking about. ...... Chartists are looking at the data without developing fundamental explanations for why those movements are taking place ..... Among financial academics, chartists tend to be regarded as quacks. But a lot of the Big Data people are exactly like them. They say, "We are just going to stare at the data and look for patterns, and then act on them when we find them." In short, there is very little real science in what we call "data science," and that's a big problem. .... the more data we have, the more false confidence we will haveIf his point is that collecting Big Data is not enough, you also have to make sense of it. I agree. But in my definition the whole idea behind Big Data is that of course you are going to make sense of it.
