It survey: Enterprises face challenges in large data age

"IT168 Investigation Report" 2012-2013 China's IT Technology trend survey activity started on October 16, 2012, after 1 months of time. During the online survey, the users from Itpub, Chinaunix (hereinafter referred to as CU) and other cooperative websites were greatly concerned and actively involved. Now that the investigation has been completed, all the data are collated and counted in the background. The questionnaire of 17,101 questionnaires, including 14,522 eligible questionnaires, was collected online. Overall, this year's survey has been more focused, both in terms of quantity and quality compared to last year.

This survey covers: Enterprise informatization, http://www.aliyun.com/zixun/aggregation/14402.html "> Desktop virtualization, Hadoop architecture, next-generation firewall, BYOD, It transport and large data applications, such as 7 of research results, which will eventually form the "2012-2013 It technology application trend Research Report", and will be integrated into the "2012-2013 China It Application Technology Blue Book" in April 2013, the fourth session of the database technology conference released.

Over the past year, big data has brought new energy to the IT industry, with new products and solutions emerging. Aiming at the new opportunities and challenges in the era of large data, IT168 recently launched a special survey of large data applications, aiming to reveal the changes in data management and analysis application in the age of large data by investigation results. The so-called data management and analysis applications, specifically, database and other data management software, data mining and data analysis products, as well as business intelligence tools.

Enterprises face challenges in large data age

Data for the enterprise, is an important strategic asset, who can grasp this opportunity and quickly action, can be in the future competition in the opportunity to occupy. McKinsey, a management consultancy, argues that data is becoming an important factor in production, and the use of massive amounts of data will herald a new wave of productivity growth and a wave of consumer surpluses. The big data will create a new economic area where the whole task is to turn information or data into economic benefits. Through this survey, preliminary grasp of the enterprise internal large data needs. In the big data age, the data technology challenges facing enterprises are as follows:

▲ Data technology problems faced by the respondents

Under the influence of large data, the existing data system architecture is becoming more and more prominent, in the enterprise faces the Data Processing Technology Challenge survey, 23.87% of respondents believe that data literacy bottleneck is the biggest technical challenge, 20.16% selected data type diversification, 16.26% selected storage pressure, 16.26% System performance bottlenecks were selected. From the top three technical challenges, it can be seen that the rapid data flow (velocity) and various data types (produced) in large data are the two key features that are most troubling to enterprise users, as well as the most urgent key issues to be solved.

▲ problems faced by data mining and analysis in the enterprises surveyed

With regard to data mining and analysis, 29.4% of respondents said the most important problem was inaccurate analysis, 21.36% of respondents chose slow analysis, and 18.34% chose expensive price. From these three aspects, users are most worried about the enterprise to spend money to deploy data mining and analysis applications, but not through analysis to make the right decision.

The speed of analysis is also an important issue. As the volume of enterprise data grows, so does an analysis. At first, companies always use the time to run the report, but this approach is increasingly unable to meet the needs of real-time decision-making, often missed opportunities. Therefore, the optimization of the analysis speed from the angle of software and hardware is the demand of business decision and the new inspection index of data analysis product.

It can be seen that in the large data age, enterprises face the challenges of data technology. Whether it's a read-write bottleneck or storage pressure, businesses want faster and safer solutions to help them get value from their data. Data mining and analysis tools, one of the big data applications, should improve their usability and accuracy, and serve the enterprise decision.