The next five years of big data will further reflect the value of

Large data can come from all aspects, from life's shopping transactions to industrial manufacturing, from social network media information to online video image data, from enterprise information management systems to government e-government, with lots of data.

The amount of data produced in the past three years is much more than in the previous 40,000 years, and the advent of the big data age is beyond doubt. We are about to face a change, the new big data will become the urgent task of enterprise development, and conventional technology has been difficult to deal with PB (1024TB) level of large-scale data. The challenge of this change is that a successful enterprise must be confronted in the course of its future development. Only those enterprises that can use these new data patterns can build sustainable and important competitive advantages.

Data to be flexible and data to be rapid

Guess has a number of product lines, but how many clothing products in the selection of the main push style or accessories style is the key factor in the sales trend. In order to make the right decision, the data analysis mechanism needs to query all the data in the spreadsheet. The process took hundreds of hours, and the company's senior vice president and CIO Michael Relich had to face an endless number of calls as a result of the failure of numerous inquiries. After learning how guess handled the master data, Relich and his technical team developed a two-dimensional code scheme that customers can use to scan the ipad and view details about the costume on the screen.

The project is not part of a strategic plan or a long-term move. On the contrary, it comes entirely from the actual needs of customers. In fact, most of the major data analysis projects are directly driven by customers.

The senior vice president and CIO William Miller Jr, a semiconductor chip maker at Bo Tong, suggests that technicians should focus their eyes on demand rather than just chasing demand.

At Bo Tong Company, it and engineering team in the same operating environment. To meet the interaction needs of both parties, the company deployed corporate social networking technologies such as Jabber and Yammer, designed to help engineers spontaneously organize temporary teams when tasks occur, and then dissolve them once they are complete. "This allows engineers to maximize productivity because they don't have to spend time slowly organizing and coordinating their work environment," Miller explains. "This is a very efficient process or organization plan. ”

The company's engineers also set up a private cloud environment that ensures that staff can work flexibly at any time of day, including at night. The company has just acquired a new company, and outside workers in Monday were surprised to find that their familiar programs and tools were fully integrated into the work environment of the Bo-A-week, which is the highlight of flexibility. "It convinced us that the investment we made before was absolutely worth it," Miller told us.

Data visualization meets real needs

For large data investments to be effective, we must ensure that the information generated by the analysis tools is visible in the presence of the current staff. In the past, the Mojgan Mutual Insurance Group received a 80-page operating report each quarter, and the executive team spent hours reading and understanding the content, the group's senior vice president and CIO, Lefebvre, said.

Translating this tirade into a list of key performance indicators requires step-by-step, Lefebvre explains. First, decide what key issues you need to find answers to. Then, create a series of grouped reports. Finally, the data visualization is processed. The whole process is intended to "get the data to meet real needs by organizing." Lefebvre adds that it often takes more than a quarter to get the report to really guide the work and the conversion process.

"Getting people to use data warehouses is a huge problem," Relich. This is particularly true in the retail sector, where buyers often have very strong intuitive judgments. Guess's solution will first deliver valuable data to the BlackBerry platform, and then visualize it with the flash-supported information panel, which will eventually deliver the results to the ipad app. Relich points out that the sales figures for each retail store are aggregated to improve the speed at which decisions are made and to reduce the number of planning meetings.

Real-time data visualization is not limited to the number itself. The site risk engineers at the Lee Po Insurance company are able to photograph the actual situation and upload it to the database side. Here, the picture will again be inspected by the premium rate engineer. According to Lefebvre, this mechanism allows the audit cycle of premium payments to be shortened from the past few days to the current hours.

Over the next five years, big data will gradually become part of more and more CIO work. On the one hand, the popularity of business intelligence, so that enterprises have a full understanding of the importance of data; On the other hand, the rise of new applications such as social media, electronic commerce and Internet of Things has broken the original value chain of the enterprise and analyzed the data of all links of the original value chain. They need to use big data strategies to break data boundaries and get a panoramic view of a more comprehensive operating and operating environment.

(Responsible editor: The good of the Legacy)