A few things to focus on when doing data analysis in 2021

 In the past year of 2020, many companies are more eagerly in need of digitalization and are actually seeing the value it brings. Data shows that those who resume work and production more quickly after the epidemic are often the more digitized companies. To get valuable insights from data analysis is not as simple as getting on an IT system.

　　Through communication with some vendors and enterprises, we also found that the current situation of domestic enterprises with varying degrees of digitization, some have made innovative attempts such as AI prediction, while others are focusing on combing data standards and specifications. There are several points worthy of attention.

　　On the claims of digitalization

　　"We will adjust with the external environment enterprise strategy, adjust the goal at any time, but the direction is the same, hope that through our data, high quality data to mining, to expand business, optimize our management process. This is what we define as digital." This is the definition of digitalization by a traditional enterprise CIO, which is very representative. Reduce costs and increase efficiency, open source and cut costs, digitalization brings more competitiveness to enterprises, and many CIOs also emphasize that whether it is the introduction of data analysis tools or data platforms, business combing and management processes are regulated in many ways outside the IT system to do the work and return to enterprise management.

　　How does CIO understand a handful of projects?

　　To promote the digital transformation of enterprises must be "a handful of projects" has become the industry consensus, especially enterprises to build a full data culture, senior support is bound to be very beneficial, and in breaking some of the inherent interests, without the support of senior can not be carried out. In the implementation of the landing, the general direction of the development of good, more critical is the implementation of the following mid-level to staff and cooperation. "As IT people you must know where the problem is, to coordinate the business, the boss is relatively busy, can not always keep an eye on you this process, everything is the boss out to coordinate this coordination that, I think as the head of IT is a bit of a dereliction of duty." This is the heart of a senior CIO, his company is carrying out BI projects, and has achieved certain results. At the beginning of the project, he thought he needed to get the support and approval from the top management. Nowadays, the relationship between IT and business is getting closer and closer, and the IT person in charge needs to know the business pain points, and the transformation of the enterprise is a big trend, and in the big trend, each individual is also seeking changes.

　　The project cycle is long, the risk is big

　　Some experts point out that whether doing BI or other projects, do not engage in a large project, so the department together, so the success rate is particularly low, the enterprise data preparation or personnel thought preparation may not be so adequate. And the project cycle is long, the risk will increase, personnel will be iterative changes, new technologies in the iteration, and the external environment is also changing, companies can first find a point, small steps iterative, so that the organization, processes, culture and IT capabilities to match the formation of synergy, to avoid being reduced to IT projects, becoming chicken ribs.

　　What kind of consulting capabilities are needed?

　　Many data analytics companies released new products and strategies in 2020, basically with an emphasis on their consulting capabilities. They point out that, combined with the national situation, most Chinese enterprises are weak in data awareness and data base, in addition to products and solutions, they need certain consulting capabilities to reuse their own effective practical experience accumulated in the industry, the so-called stone from other mountains can be used to attack the jade. At the same time, we can see that many companies will also look for consulting organizations such as the Big Four to do consulting, and some will look for specific organizations to consult in very vertical segments. On the one hand, the Big Four and other consulting organizations generally consult at the strategic level, which requires strong task decomposition capabilities and deep IT capabilities in the implementation process. On the other hand, it also requires a strong project management capability, and in a project, third-party consulting and landing vendors, need to be effectively managed by the enterprise to avoid the phenomenon of tug-of-war.

　　The challenge of self-help analysis

　　The ability of self-help analysis is a point that both enterprises and vendors believe needs to be strengthened, which involves data trust issues, such as poor data quality, data problems can not get timely feedback to solve, etc., resulting in data users do not trust and dissatisfied with the data itself, the data is difficult to be used up. Some CIOs also point out that the IT back-end needs to present the cleaned multidimensional data to the business, and the business can go to the data-based analysis, but to do a good job of permission control. In addition, with the relevant IT support, there are challenges when the corporate culture does not support, or the business is not used to analyze with data. Enterprises are required to set unified standards for data specification, do a good job of tracking data feedback to ensure data quality, so that the business has a good experience, harvest value, and slowly form a habit of use.

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