#研究分享#【大数据应用如何步入寻常公司】

#研究分享#【大数据将在1-5年内大放异彩】据去年12月份的研究报告,2013年大数据受到了美国各界的充分肯定和认可,79%的受访高管认为大数据将在未来一到五年充分释放潜力。金融、零售、大众消费品和制造业,有可能成为2014年运用大数据最成功的行业。

#研究分享#【大数据应用如何走进寻常公司】大数据听起来很美,如何应用却是个难题。各公司的管理层需要的是:关于大数据如何解决商业问题的更多的知识和培训(62%);大数据的解决方案须更符合商业用户的需要(53%);更清晰的认知到大数据的价值;大数据解决方案更加简化;大数据解决方案的价钱更亲民。

263989_80_1362729266_44small

Big Data Pros and Cons

 

1010data, Inc. announced the results of its 2013 Big Data in Business Study to put in context the strides Big Data has made in 2013. U.S. business and technology executives were interviewed across industry sectors, highlighting success with Big Data, and factors keeping business from capitalizing with it.

79% of executives believe Big Data will reach its potential in the next one to five years. Finance, retail, consumer packaged goods and manufacturing, were viewed as the industries that would see the most success with Big Data in 2014.

Anticipated “Reach of Potential” for Big Data (% of Respondents)
Time % of Respondents
Next five years

44%

End of 2014

35

Already has

12

Next 10 years

6

More than 20 years

2

Next 20 years

1

Source:1010data, December 2013

While businesses are optimistic about the prospect of leveraging Big Data, they also admit that there are good reasons why companies are holding out on using the large and complex data sets for business projects. The most popular reason with 62% of executives was that companies require more education on how Big Data solves business problems .

Reasons companies are holding out on using Big Data:

  • Need more education on how Big Data solves business problems (62%)
  • Need Big Data solutions to better address the needs of business users (53%)
  • Need better time to value for Big Data (47%)
  • Need simplified solutions for Big Data with fewer moving parts (49%)
  • Need prices for Big Data solutions to come down (40%)

In addition, survey respondents commented on the characteristics of Hadoop 2.0 as it applies to their experience and current business practices.

(Apache) Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware, being built and used by a global community of contributors and users.(Wickipedia)

When it comes to evaluating Hadoop, executives admitted they had concerns about its’ complexity when solving business projects’ and are worried that the recently launched software does not adequately address the underlying problems with the technology, says the report. The executives also believe that alternatives may be better for solving business problems.

Concerns With Using Hadoop 2.0 for Business Projects (% of Respondents)
Concern % of Respondents
Too much coding required

35%

Hard to mashup data

31%

Still don’t have enough data scientists to analyze

20%

Lack of BigData tools

34%

Slow query speeds

30%

Expense of implementation and maintenance

42%

Security and reliability

45%

Source:1010data, December 2013

When probed further, executives felt that Hadoop projects were more complex than other IT projects, with 43% saying that it’s hard to find talent experienced with the programs, and 41% saying Hadoop is very new and not as stable as other technologies.

Alternatives To Apache Hadoop 2.0 Are Better For Business Use, Says Executive Survey
Top Reasons Cited For Alternatives % of Respondents
Simplified data integration

42%

More affordability

35%

Faster query speeds

34%

Generate faster time to results & value

34%

Better tailored for business needs

33%

More advanced analytics

26%

Greater scalability

21%

Give the ability to do data mash ups

18%

No coding is required

15%

Source:1010data, December 2013

 

 

文章作者:Jack Loechner

文章来源:MediaPost

文章链接:http://www.mediapost.com/publications/article/216665/big-data-pros-and-cons.html#reply

 


2 条评论

  1. liudan说道:

    感谢分享,已发布http://weibo.com/1711479641/ArxdH8UPm?mod=weibotime

  2. liudan说道:

    感谢分享,已发布http://weibo.com/1711479641/Arv9Zrxab?mod=weibotime



无觅相关文章插件