Big data analysis is not a risk "prophet"

Do companies rely on large data analysis to predict, does that mean big data can reduce corporate risk? At present, some companies are conducting large data analysis. CIOs, CFOs, auditors, and others who have risk-monitoring requirements are trying to use business intelligence tools to try to quantify the level of risk they face, such as common project analysis, setting market goals, and so on.

Big data analysis is not a risk "prophet"

Without data analysis, CIOs are likely to face failure. The media on the CIO selection failure cases are not uncommon, enterprises suffered from the loss is self-evident.

With the increase of business, it vendors also express unprecedented enthusiasm for large data analysis, predict the success rate of the project through the forecast analysis, the enterprise thinks this can reduce the failure rate of the project. At present, there are many data analysis companies, through specialized forecasting tools, http://www.aliyun.com/zixun/aggregation/17183.html "> Help customers identify project weaknesses and evaluate the role of data analysis throughout the project." Many enterprises call for the early improvement of enterprise risk prediction software functions, at present, Oracle, SAP and other enterprise software vendors have been working to help customers implement more successful projects.

CIOs are using large data analysis tools to deploy cloud computing, but cloud computing is risky, such as placing critical business systems in Amazon's cloud, which is a serious consequence when cloud services are interrupted. Compared with cloud computing, large data analysis and prediction is not so easy, the analysis of data points and the distribution of data analysis plans are testing human creative thinking ability. Large data analysis, like the Google Analytics (Google Analytics) can produce some pretty graphs, can highlight the problem of braking a cycle of fixed plans. The CIO's job is to find out the problem and project needs of the item, to understand the enterprise's priorities and to clarify the severity.

But many research institutions are sceptical about the idea that big data can help companies reduce risk. Many CIOs also express different views of the book. CIOs acknowledge that analytics (analysis) can help companies anticipate possible risk situations, but not really predict what will happen, because many projects rely on corporate leadership or corporate style for success.

The success of many projects depends not on a single project, but on the overall project implementation, and few projects are independent individuals. If the data analysis tool analyzes an untrusted fake table, the damage to this structure is even greater.

(Responsible editor: The good of the Legacy)