2014 large data applications will become mainstream in the enterprise

Source: Internet
Author: User
Keywords Large data large data 2014 large data 2014 become large data 2014 become large data application large data 2014 become large data application will be in

January 13 News, according to foreign media reports, IDG last week released 3721.html ">2014 year large Data Enterprise survey and forecast." According to the survey, the average expenditure on large data-related projects by large enterprises in 2014 was 8 million dollars.

The survey also found that 70% of large companies have deployed or are planning to deploy large data-related projects and plans. The main points of the 2014 IDG Enterprise Data Research Report are provided here. The purpose of the study includes a better understanding of the organization's large data plans, investments and strategies. Highlights of this report include:

Large enterprise organizations in 70% have deployed or are planning to deploy large data projects. and 6% of small and medium-sized enterprises have deployed or planned to deploy large data projects.

· In 2014, large enterprises will invest an average of 8 million dollars for projects and plans related to large data.

74% respondents predicted that large data would become mainstream applications at least in one business unit or department.

• The most important success factors in driving large data applications are: Identify the business areas and processes where large data can have the greatest impact (37% of respondents say); Ensure that human capital is available to effectively get value from large data plans (29%); Ensure that storage, computing, and network resources can support large data plans (25%).

• The four main areas that currently drive investment in large data programs are: improving the quality of decision-making processes (59%), speeding up decision making (53%), improving planning and Forecasting (47%), developing new products/services and revenue Sources (47%).

• The current five main aspects of large data investments are: storage (49%), Server (47%), cloud Infrastructure (4%), Discovery and Analysis (43%), and Application (42%). The following figure shows the timetable for each area's investment plan.

• Employment opportunities for companies that use large data are bright. As shown in the figure, 19% of respondents plan to hire data programmers over the next 12-18 months, and then hire Business Analytics, data analysis, engineers, and data architects.

(Responsible editor: The good of the Legacy)

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