Large scale data technology will be adopted by enterprises

Gartner said 2013 was a year of large-scale adoption of large data technologies by companies after years of experimentation and the success of early adopters. According to Gartner's survey of global IT executives, 42% per cent of respondents said they had invested in large data technology or that they would invest in the next year.

Doug Laney, vice president of Gartner Research, says the company's knowledge of big data and the new business changes it can bring are growing. Most companies are still in the early stages of adopting large data, and only a few have applied them to the enterprise level, or they can recognize the overall impact of large data on their infrastructure, businesses and industries.

Market disruption makes emerging data types and new information processing methods continue to generate and increase demand, enterprises in a rapidly changing science and technology environment also embarked on a large data research program. Its adoption of large data technology stems from two main reasons, necessity and belief. Enterprises are becoming aware of the importance of large data research, recognizing that large data can lead to significant or potential business opportunities unmatched by traditional data sources, technologies, or applications. In addition, the overwhelming coverage of the media also contains a large number of use cases.

"What worries it and business executives is whether they are behind their rivals in pushing big data research plans," says Frank Buytendijk, vice president of Gartner Research. There is no need to worry, the current stage of creativity and opportunities are endless, and some of the best big data ideas from the adoption and adjustment from other industries from the idea. However, this also increases the difficulty of scaling down the measurement of large data technologies, methodologies, and alternative cycles. ”

Despite the challenges, Gartner predicts that by 2015, 20% of the world's top 1000 companies will focus their strategy on "information Infrastructure", which is as important as application management.

Bullish on big data opportunities, businesses in all industries are collecting and storing a large number of operations, public, business, and social data in advance. However, for the vast majority of industries (especially government agencies, manufacturing and education), combining the above resources with the "dark data" currently underutilized, such as e-mail, multimedia and other enterprise content, can be translated into the most direct business opportunities.

Gartner believes that by consolidating and analyzing a wide variety of data, companies can achieve the most unique business insights, process optimization and best decisions. Although the use of most large data is focused on the availability and speed of data, Gartner surveys show that the final run-off depends on expanding the data source. Laney says that, despite the growing efficiency of enterprise management and deployment of information, companies have not integrated it with the precise asset management systems that apply to traditional materials, finance or other intangible assets. The application of the formal information assessment model will provide it, information management, and business executives with more thorough decision-making on information management (IM), enrichment, security, risk management, procurement, collection, use, bargaining, manufacturing, and sales.