Cao Yuchin: Large data BI Analysis process drives business performance

Cao Yuchin, a senior analyst at Forrester Research, said at the second big Data World Forum 2012 that big data is not a new technology that can come from inside and outside the enterprise, the industrial chain and even social media. The Business intelligence analysis process for large data drives business performance and brings business value.

2012 The Second World Forum of Large data (Forum) was opened in Beijing Landmark Hotel Conference Center on July 13. Designed for senior IT staff and business executives, the forum covers key industries with significant demand for http://www.aliyun.com/zixun/aggregation/13982.html "> Large data storage Management, Common exchange of large data areas of cutting-edge technology and development trends, to achieve the commercial value of large data.

Cao Yuchin says big data is not a whole new technology, and big data is mostly about helping companies get more out of their existing data, including the data they have already produced, and do a little bit of input. He argues that, in terms of technology input, global IT spending is more cautious and does not affect the industry's investment in big data.

Cao Yuchin says the major impact of large data-scale applications on business intelligence analysis comes from three.

First, companies are slow to invest in data warehouses, mainly because most customers want a faster return on investment, which traditionally puts them in the data warehouse if they get their investment back in 5-7 years, which is not consistent with the 12-18-month return cycle that most of their customers now want. Forrester believes that customers have a major impact on the return on investment that makes them think the business impact of large data.

In the second part, Forrester sees that the whole message tends to be more complex, hears more and more voices, and gets feedback, and they think the whole amount of data is increasing far more than they expected, and Forrester thinks that the enterprise now faces a more complicated data environment. For the increase of data volume, enterprises should pay attention to different kinds of data fusion collection and collation. Through the different data, especially for the enterprise internal some from the business level of demand, especially for some enterprises for some traditional financial or non-financial information analysis ability, is also the enterprise to see the application of large scale data to business intelligence analysis of an impact.

The last part, Forrester believes that now as more and more enterprises adopt or have implemented the Business intelligence analysis platform, enterprises are faced with problems how to manage a variety of platforms, how to feel the different applications from different platforms of data management.

For any business, data is the most dazzling gem of its commercial crown. With the development of traditional business intelligence system in depth application, business decision has become more and more dependent on data. The more comprehensive the data the enterprise uses to analyze, the closer the analysis results to the real. The most significant difference between a leader and other companies is the introduction of new data types. Companies that have not introduced new analytical techniques and new data types are unlikely to become leaders in their industry.

(Responsible editor: The good of the Legacy)