Information management and it positioning: a three-point revelation in a large data age

Today, more than 80% of http://www.aliyun.com/zixun/aggregation/15530.html "> Large enterprises rely on data to make important business decisions." The IT department is under great pressure to enable employees to access data anytime and anywhere through any device. And because employees want to be able to use their own devices to access enterprise data at work, new challenges to consolidation and usability arise. So, in the big data age, how should it roles be positioned?

According to CEB's outlook for 2017, in order to enhance the information level of the staff, it will strengthen the information management and integration. The scope of information management will be extended from the core enterprise system to the outreach, which is about half of the company's employees. The main direction of this extension is to include unstructured information that is scattered across local teams, lines of business, or employee desktops.

However, as the degree of access to data-especially large data-is deepened, new problems can arise. As the size of the data grows, employees may be disturbed by data noise, and data from multiple channels can lead to delays in analysis and even decision making processes. In view of this massive, messy and open data situation, we must build a new information management program. Our research shows that CIOs are particularly focused on the following three areas: data availability, help desk roles in data-driven decision trends, and the future of enterprise IT departments in the big Data age.

Availability is important. In addition to accessibility, if the quality and relevance of data is sufficient to allow employees to trust, the likelihood that an enterprise will benefit from information management and analysis is 5 times times higher. It is now the case that less than half of the employees think the data provided by the enterprise is useful. The challenge for it is to ensure the availability of data in a rapidly changing device and interface technology. In fact, lightweight apps are driving changes in the way that data is delivered to employees – whether that change is good or bad. We want usability standards to be an integral part of the data environment-where employees can access enterprise applications and internal and external data. From an employee perspective, you want data to be seamlessly integrated and securely delivered to different front-end interfaces, such as the original internal interface and the self provisioning Application model. It is about providing secure integration services for this purpose.

Even if companies invest heavily to get and integrate data from academia, suppliers and customers, fewer than 40% of employees (according to our survey of thousands of employees) have enough mature processes and skills. Therefore, it is possible for internal personnel to make wrong decisions based on the data that is gained from the huge investment.

So how do you upgrade the skills of the remaining 60% employees? CIOs can enable business partners to strengthen analytical skills, and it can also take a key role in training staff on how to effectively leverage data. One of the key points is the desk. As employees ' interest in technology increases and the technology itself is more user-friendly, we think it is the past phase of a simple technical support role. It will shift from technology to more comprehensive skills support, and the help desk will become the overall support platform across multiple business units.

What will be the future scenario? We can assume that when an employee contacts a service desk across the business, ask how to calculate the lifecycle value of a segment of the customer base. Representatives of it will help them find the data and analysis tools they need, and representatives from the marketing department will guide them through the tools to analyze the data.

In an era when more than 80% employees are using data-support decisions, corporate executives are no longer representative of the need for and availability of data. In advanced enterprises, it has begun to work directly with front-line employees and executives to sort out how to improve productivity. This requires skills from it and expertise from, for example, the marketing and product sectors.

The big data has come, and the calculation of the employee side is undergoing tremendous changes. If the employee's decision can be more rapid and reasonable, the enterprise will gain a significant competitive advantage. It can play a key role in it, but it must change existing role positioning and value proposition.