How enterprises win "data war" in Big Data era

A few years ago, the company focused on information technology and Internet technology, and today, the company is more focused on cloud computing, mobile technology and social technology. Regardless of the development trend of the above-mentioned technologies, the processing and analysis of company data has caused a lot of problems. The diversity of data and the security of data, as well as the rapid growth of data complexity and data volumes, have become a challenge for companies. In order to be further clear and aware of the real needs of the company, it is necessary to analyze what the company faces in the context of the big data age.
In the storage and processing of big data, the distribution of the company's difficulty is relatively average, the security of the data ranked first in 18.98%, followed by the system performance bottleneck, accounting for 18.42%, the third is the data type diversification problem, accounting for 18.01%. There are other issues, such as inefficient big data analysis (about 15.24%), data read and write difficulties (about 14.96%), and storage pressure (about 14.4%).
The gap between the options is very small, but it also shows that these six problems are the difficulty of the company's data storage and processing, especially corporate data security issues. In big data environments, many companies are re-establishing information security policies to protect data resources from being violated.
In the challenging era of big data, the difficulties faced by companies can also be seen in other ways. According to statistics, the lack of professional big data direction of the company faces all the difficulties of 26.99%, it can be seen that this is the biggest challenge facing the company, followed by the analysis and processing of unstructured data, about 26.65% of the total, conventional technology is difficult to deal with the proportion of about 25.27%, There is also the problem of high threshold of new technology, accounting for 21.13% of the total.
The lack of professionals in the big data direction will be an important factor hindering the future of big data markets. According to some experts ' forecasts, when entering 15, the world will have 4.4 million more jobs in big data, and 25% will set up the post of chief data officer. This big data post has a strong demand for complex talent, and requires that the job-seekers be able to dabble in mathematical statistics, analytical data, learning machines, dealing with natural languages and integrating knowledge. In the future, the talent gap for big data will reach millions, and the need for society, universities and companies to nurture these talents will soar as these three are needed for joint development and cultivation.
Obviously, most companies are not good at dealing with a range of unstructured data types, such as text, pictures, and video. In this regard, the data map survey results from some agencies, the first thing companies need to solve is how to analyze these unstructured data, the proportion of the demand for the overall 38.96%. The second most important thing is to integrate with other data sources, which accounts for 32.5% of the data, and 14.72% and 13.82% data security issues. It can be seen that the control of unstructured data and grasp of the company's success or failure is crucial.

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How enterprises win "data war" in Big Data era