Research finds that nearly half of investors barely maintain large data projects

ReadWrite, a famous http://www.aliyun.com/zixun/aggregation/9610.html "> blog website, said that most companies derive much less value from large data than they expect, and even investment cannot be recovered. 46% of big data investors have barely managed to sustain their investment projects, and even 2% have failed altogether.
The article holds that with the investment, large data is currently performing significantly below market expectations. In the media, many companies have not fully understood how to dig out the value of large data before they plunge into the market. According to the latest analysis, most companies derive much less value from the big data than they expect, and even investment is not recoverable.
The Wikibon study found that 46% of big data investors barely managed to sustain their investment projects, and even 2% had failed altogether, with all the investment drain.
However, this is not to say that big data is deceptive, failure is doomed. This is not the case.
As Wikibon points out, one of the biggest causes of the failure of large data projects for those companies is the lack of specific and measurable commercial applications when investing in large data technologies such as Hadoop. When they hear that a project has something to do with big data, they invest money directly in it, and they don't really know what they're looking for. Gartner, a market research firm, has come to the same conclusion through analysis.
According to Wikibon's research, the best big data projects are usually not initiated by the IT industry, but driven by lines of business, such as marketing, and most small applications that are focused on large data projects rather than strategic solutions. "They make full use of their in-house expertise and are well aware of what they can do with their existing resources." ”
Such projects are usually small at the outset and will be scaled up only after the initial results have been achieved.
The article thinks, because the best big data technology is open source, try first before investing, and then find the most suitable large data technology, may avoid blind investment.