Forrester: Big Data is one of the four major markets that enterprises must pay attention to

In recently held the third large data World Forum, Forrrester Cao Yuchin said in the current customer-centric era, we must pay attention to four major market points, that is, customer experience, mobile, large data and digital subversion, which data analysis is the CIO's priority to consider technical measures.

Cao Yuchin showed a 2012-year follow-up report based on technical decision makers from 241 IT companies in China, when asked what technical measures would be prioritized in the next 12 months, improved data analysis was used to raise business decisions to third place, with a voting ratio of 37% in high-priority polls.

Visible data analysis with absolute advantage, the CIO's agenda to include the most important. Through Forrester's definition of large data: the use of technology and technology to drive large-scale data processing and analysis, will be more aware of the relationship between large data and data analysis, undoubtedly proved that large data into the enterprise "four Big Kong" one of the reasons.

At the same time, Cao Yuchin that large data for the enterprise has a certain degree of universality, widely applied in vertical industry, it can be used in financial service fraud detection and prevention, anti-money laundering, risk management, and in telecommunication and Internet service, it can be used for CDR analysis, anti fraud, geo-spatial analysis, in government, manufacturing, Medical and energy and public utilities are also of application value.

In horizontal business applications, including social media analysis, social CRM, affective analysis, click Flow Analysis, optimization of marketing activities, customer experience optimization and customer churn mitigation activities, the results of large data analysis will be better conducive to corporate decision-making.

Believe this is the highlight of large data prediction analysis, Forrester defines a large data analysis and prediction solution as a software/hardware solution that analyzes large data, enables enterprises to discover, evaluates, optimizes, and deploys predictive models, and ultimately improves business performance or mitigate risk. That is, the six cycle steps that Cao Yuchin analysts need to follow in the large data prediction analysis.

Forrester Cao Yuchin: Large data is one of the four major markets that enterprises must attach importance to

Six cycle steps to be followed for large data analysis predictions: Preparing data, modeling, evaluating, deploying, monitoring, and understanding data

In the current existence of the numerous large-scale data prediction analysis scheme, can be roughly sorted into four types, a vertical or horizontal solution, more common in customer-centric, cloud-based E-commerce solutions, such as Amazon; an embedded solution, such as the BI BPM platform In addition to database analysis, many are familiar with large data technology, such as RDBMS, NoSQL, Hadoop, etc. the fourth is the predictive analysis offered by independent consulting firms, such as opera Solution