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US President Barack Obama is putting pressure on the Federal Communications Commission to implement “the strongest possible rules to protect net neutrality,” releasing a statement and video on Monday that urges the FCC to ensure that telecos or ISPs can’t act as gatekeepers.
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Big data is about trying to unearth the right information from your structured and unstructured data sets. Done properly, it is no doubt that it will assist the enterprise to understand its environment, its customers better and make more informed decisions. However, in the current market dynamics, fear of missing out, wrong investments in the platforms, lack of experience are the most cited risks. There is more to that.
We have seen the bandwagon effect behaviors in big data as expected, companies rushed to invest in big data without proper knowledge, the fear of missing out rushed projects with too many items undone, which were in fact the same as the cold war era of arms race. During the big data timeframe, from the investment to the arms race, the companies failed to understand there are further risks that come with big data.
I can say that the foremost risk that companies fail to understand, or lose down the road is common sense, which this post is about. First of all, big data analytics are about giving insights, nothing more. It is being used by the scientific and government institutions for many years and by today we are sure that it is not hundred percent accurate. Think about the meteorologic research, which has far more data than many other sciences: are we absolutely definitely sure about the time when the next hurricane will strike? Looking at the big data, nobody can say which week, let alone day and time. We are sure about that and we are also sure that our big data will give us the information we need. It might, but we have to apply some judgement, we need to stop and think, before accepting whatever it gives us.
Similarly, there are the inherent problems that come with any data analysis: choosing significance, relevance, eliminating noise, validity, extent of analysis, just to count a few. Staff training will eliminate some of these problems for sure, but still anyone working in the big data analytics should be aware that it is so easy and just a matter of minutes to lose sight. There are correlations that show the murder rates in U.S. fall with the loss of Internet Explorer market share, Facebook lowering the cholesterol-lowering effect of Justin Bieber and similar unrelated issues. Although these are just some funny statistics, they show that there are traps in the analytics that people may fall, such as correlation not implying causality.
Second, it does not replace the tried and tested methods in the business. Visiting customers, attending trade shows, conferences, building networking cannot be replaced entirely by monitoring mentions, hashtags, clicks, web site analytics and click monitoring, displayed in dashboards. The product or service that is offered by the enterprise, whether or not operating in a fully-automated Business-to-Business market has a human factor in it. Big data analytics does not replace the human element. Following my list above, suppose that big data analytics indicated a building trend in your market. In this case you have to make a little bit of research and then discuss with your colleagues, with your customers about their opinions. You cannot make the whole enterprise act on the big data results.
Third, big data present users with the opportunity to dive deeper in the analysis, which is also a trap in itself. It is so easy to lose the sight of the forest for the trees. Big data analytics give you the tools to make queries for you to gain some insights. When you spot a trend, list a couple of questions to analyze the insight from different dimensions and when you are done, avoid the temptation to go further. Suppose that you are trying to analyze the trends with your product launch, you can try to see the impact of the marketing campaign, competitor’s reactions – such as increase in commercials etc.. Once done, and perhaps with some more questions from your colleagues, stop your analysis. Digging deeper will shift your focus from the product launch to less trivial things.
My advice is: try to see what works and what not, what works best where, how you should be using big data analytics and what technologies enable you to walk to your goals. Pushing big data too far and losing common sense may easily work against your company.
When I am expounding on the process of embarking on a web business I prefer to use the analogy of a brick and mortar business that is being run out of an actual store front. Maybe one in a strip mall. That is something we can all relate to and decipher. I want you to know that having an internet business is just like that, we are merely going to use different names and terms to describe the things involved. Here's the analogy.
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Pay Per Click fraud and Google Ad Sense Google Adwords Web Site Programs
If you have AdWords or AdSense, is an emerging leader in the underworld of computing called “click fraud” must. But what exactly is Pay-per-click fraud and how is it done?
Now Ad sense uses a mechanism that awards a certain amount of the payment of money to a publisher (someone who holds of a Google AdSense banner on their page) every time a person pay per click the banner said. So click fraud is the attempt to people depending on the ads just so they pay to obtain a larger profit.
Here are people setting up sites for the sole reason of fraudulently generating income through Google AdSense program of Google. These users achieve an incredible number of pay-per-click-through many methods, some complex and sophisticated and some rudimentary and simple.
One of the most complex is through the use of so-called “hitbots. These are automated programs that emulate the pay per click on the links in AdSense banners (there are some who actually pay for each click on the banner as well).
Google Ad Sense system is far from perfect and almost everyone can overcome the details of the protection mechanism, ironically just by doing a Google search does find.
Another rudimentary method is to hire a lot of people in a poor country is to be paid for each click on the link to your website. This means these people actually sit all day and only pay per click, so you can earn a fortune left. They come from very poor countries such as India, and they are able to do so for only 0.50 per hour.
Of course, there’s a problem with this remedy. Once Google receives a large number of pay-per-clicks from a single address, the address and the website, the Google Ad Sense Banner had to be banned, and illegal behavior may even scamsster sued.
to prevent this, many people use a large number of proxy servers for the reason to click the. These are basically trojans on computers all over the world (though mostly in the USA). What’s even more frightening is that this pay-per-click appear proper from a computer are to be seen as fraud really hard.
and do not think that happens only in isolated cases. There is a lot of illegal activity in this area.
In fact, there is so much that if search engines do not cause companies to increase their safety with programs such as Ad sense that criminal behavior could be even more damage.
Google has a very strict policy on the pay-per-click fraud, and it has sued the use of such techniques in the past. But while the search engine giant tries its best to minimize the risk of click fraud there is certainly room for improvement.
It is estimated that more than 20% of pay-per-clicks that follow an AdSense link are just done to get money from the person paying for the ad. Some people believe the number of fraudulent clicks twice as large.
There are many more systems with pay per click fraud, such as group of AdSense publishers connects to each other (referred to as “click rings” or spamming people so that they pay per click such links .
Despite Google still holding pay per click fraud on a leash, the phenomenon is certainly raising concerns for marketers on Google AdWords, but despite this insertion with Google Adsense still more success for the advertiser, than the traditional systems untargeted insertion opposite.
There are some means of protection against such schemes and all marketers should be smart enough to employ it. Many sellers choose to display the content network to avoid all together for fear fraud on.
This is the eBook version of the printed book. Designing the Obvious belongs in the toolbox of every person-based design and development of web-pay software, from the CEO to the programming team. Designing the Obvious explores the character traits of great Web applications and uses them as guiding principles for the application to be designed so the end result of every project instills customer satisfaction and loyalty. These principles include building only whats necessary, getting users
List Price: $ 31.99
Price: $ 31.99