Large data technology has been the focus of CIOs ' attention 2013

2013 year of large data

Doug Laney, vice president of Gartner Research, said: "The company's knowledge of big data and the new business changes it brings is growing." The new question is ' What strategy and technology do we need? ' and ' How do we measure and ensure ROI? ' Most companies are still in the early stages of using large data, and only a few have applied it to the enterprise level, or they can recognize the overall impact of big 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 comes from two main reasons, necessity and belief. Companies are becoming aware of the importance of large data research because of the recognition 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.

"This worries it and business executives about whether they are behind their rivals in pushing big data research plans," says Frank Buytendijk, a vice president of Gartner Research. There is no need to worry, the creativity and opportunity at this stage are endless, and some of the best big data ideas come from adopting and adjusting ideas from other industries. However, this also adds to 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 1,000 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 transformed into the most direct business opportunities.

Gartner believes that by consolidating and analyzing a wide variety of data, rather than just individual, 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.

Large data in the primary application phase

In addition to the application reports of large data technologies published by Gartner, we have seen a recent IBM announcement to launch a global research paper on "Big Data", "Analysis: The application of large data in the real World", "Analysis: The application of large data in the real world," the survey showed Most of the "Big data" projects currently being carried out by various organizations are aimed at improving the customer experience, and being close to customers is the top priority for most organizations to practice "big data".

In addition to "customer-centric" (49% per cent of respondents ranked them first), "Big Data" is also used to achieve other functional goals in the early stages. Nearly one-fifth (18%) of respondents ranked optimal operations as their primary goal. Other applications of "big data" focus on risk and financial management (15%), implementation of new business models (14%), and employee collaboration (4%).

Three-fourths of respondents (76%) are currently carrying out "big data" project development work, but the report confirms that the majority of respondents (47%) are still in the early stages of planning, but at the same time 28% of respondents are developing pilot projects or have implemented two or more "big data" solutions. Nearly One-fourth (24%) of respondents have yet to embark on "big data" activities, and are still studying the benefits of big data for their organizations.

Clearly, "Big data" will bring booming business opportunities. Nearly Two-thirds (63%) of respondents said that the use of information (including large data) and analysis created a competitive advantage for their organization. In the survey, the proportion of respondents to the "competitive advantage" was increased by 70% compared with the 2010 IBM Survey (37% per cent in 2010). Today, most organizations that practice "big data" are starting with analyzing structured data using core analytical capabilities, such as queries and reports (91%) and data Mining (77%). Two-thirds of respondents said their organization used predictive modeling techniques. But "Big data" also requires organizations to have the ability to analyze semi-structured and unstructured data, including a variety of new data types.

In more than half of the "big data" projects, respondents said their organizations used advanced technology to analyze text in natural state, such as a transcript of a call center conversation. These analytical techniques include interpreting and understanding subtle linguistic features, such as emotion, slang, and intent. Such data can help businesses, such as banks and telecommunications service providers, understand the customer's current emotional state and gain valuable insights that can be used directly to drive customer management strategies.

(Responsible editor: Fumingli)