Digital Commerce: Promotion of Seven Science and Technology Trends

Accenture released a report titled "Technology Watch 2013" some time ago, with the theme of "Every business is a digital business," and we can understand that "all businesses are numbers Business. "Accenture pointed out in the report that seven technology trends are pushing digital commerce to be the top priority for business management. Following is an explanation of these seven major trends by Accenture CTO Paul Daugherty. Readers can refer to the original report for more details:

First, the ubiquitous relationship.

Mobile apps, social networks and e-commerce keep businesses more connected to their customers than ever before, but most businesses' awareness of "digital commerce" remains at the cost of reducing costs through on-line, self-service, etc. Few companies can Good capture and use of consumer data for precise marketing.

Second, data analysis-driven software design.

The hottest topic in the IT industry is big data, but according to Accenture estimates, 40% of corporate analytics lack the necessary data. These data either do not exist or can not be found by data analysts. Daugherty argues that the data should be "the supply chain rather than the warehouse," with a focus not on storing data but on timely delivery of data as employees or customers need to make decisions.

There are two important areas of action to solve the above problem: first, confirm whether the new networked sensing technology can fill the data gully; and then emphasize the importance of data requirements in the analysis of the needs of software development.

Third, fast data.

New technologies such as Hadoop, memory processing, and flash storage allow organizations to complete computing tasks that took days or weeks to complete in minutes. This means faster predictive analytics will effectively prevent business downtime or customer churn.

Key points: What impact of faster analysis on sales and cost savings can be quantified? Many CIOs are struggling with how Oracle Exalytics or SAP Hana can drive business profits, but the business value of increased analytics goes far beyond These ones.

Fourth, social cooperation.

Daugherty said IT companies are more focused on business automation than collaboration. Today, the importance of various social enterprise collaboration models in enterprise workflows resembles the process reengineering of the 1990s. However, it is worth noting that a recent survey of enterprise social networking applications found that IT departments were more receptive to corporate social networks and 89% of IT workers viewed socialization tools as more efficient as business units collaborate. But only two-thirds of non-IT staff endorse this judgment. This means that the next focus of corporate social collaboration is how to make non-IT business staff can accept and benefit.

Five, software-defined network.

Accenture calls Software-Defined Networking (SDN) the "last mile of virtualization," the last step in data center virtualization.

Six, active defense.

Daugherty argues that the way companies respond to cyberattacks is no longer just monitoring, reacting quickly and minimizing losses. Proactive defense strategies include understanding employee attempts to stop employees in downloading sensitive data or files in a timely manner. For external cyber attacks, more businesses are beginning to take prudent counter-attack defenses, such as identifying attackers and providing "honeypots" of documents disguised as key assets of the enterprise.

Seven, cloud computing into a practical stage.

Accenture believes the debate over cloud computing has come to an end, and cloud computing is already well-prepared for enterprise applications. CIOs now need to focus on how to change the architecture and staffing structure, standardize the hybrid cloud / internal software environment, and make cloud computing truly work for the enterprise. Many businesses have not yet reached this stage, most of them cloud computing applications are also one-time items (Editor's note: stay in the experimental environment rather than the production environment).