written in front
Summary of this article: the relationship between enterprise digital planning and enterprise data strategy, what content is mainly involved in data strategy, and what aspects should be paid attention to in enterprise data strategic planning.
Enterprise digital planning & enterprise data strategy
Enterprise digital planning involves three levels: the first level of digital planning is not a matter of the information center or some other digital department, but a plan that involves all departments of the enterprise horizontally; the second level is the digital planning that covers the business front-end to the operation and management decision-making end; The third level is related to the basic digital operation capabilities of the enterprise itself.
As a sub-strategy of enterprise digital planning, enterprise data strategy is relatively independent of business as a sub-item strategy of the enterprise. At the same time, as the basic strategy of the enterprise, the enterprise data strategy needs to be planned in an overall manner. It needs to be coordinated and planned with various business sub-strategies before being aggregated to form a complete enterprise data strategy. On the basis of each business sub-strategy, it is also necessary to consider the construction plan of the basic capabilities of enterprise data asset management.
What does an enterprise data strategy involve?
In order to support the implementation of corporate business strategies and digital strategies, corporate data strategies are generally planned from the following aspects:
The first is the definition of the data scope that supports the digital transformation of the enterprise, with the goal of realizing business value to determine which data needs to be included in the data asset management scope of the enterprise.
The second is the assessment of the maturity of data asset management capabilities. The purpose is to measure whether the current data management capabilities of the enterprise can ensure the realization of the business value served by the data with the goal of business value.
Third , determine the requirements for enterprise data asset management capabilities that can realize enterprise business strategies, and determine the gap in management capabilities and the direction of improvement based on the evaluation results of the current enterprise data asset management capabilities.
Fourth , determine whether the corresponding organization, budget, policy and other safeguards are in place.
What aspects should be paid attention to in enterprise data strategic planning?
-
First, the planning process is iterative:
In a sense, the enterprise data strategy is actually a "business support strategy", which is the data support and data value strategy around the various business goals of the enterprise. From this point of view, the enterprise data strategy cannot be completed by a single department, but is repeatedly and iteratively deduced through multi-party cooperation. The development of this part of the work requires the support of the following two links:
First of all, the enterprise data department communicates with the business department on the concept of enterprise digitalization, so as to promote the business department to reach a consensus on digitalization and data thinking. It is important to have an understanding of the possibility of data as a factor of production to bring new business models, and on this basis to establish a business strategy under the digital transformation of the enterprise.
The second is to evaluate the data maturity around this business strategy, determine the data maturity requirements for realizing the business strategy, plan the direction of improving the enterprise's data capabilities, goals, methods, budget, organization and other related information.
-
Second, we need to break through traditional thinking:
Enterprises that promote the process of digital transformation of enterprises are relatively mature in terms of informatization, and have accumulated a lot of successful experience.
In addition to technology, the "top leader project" and the participation of senior managers are of great significance to the success of enterprise information construction. In the process of enterprise digital transformation, people will also place their hopes on the "top leader project". According to a report by McKinsey: the success rate of enterprise digital transformation is only 20%. Is it because the top leader does not pay enough attention to the fact that 80% of enterprises do not succeed? Certainly not, it means that the traditional way of thinking used by people in the face of digital transformation has fallen short of the requirements, and a new way of thinking needs to be introduced.
From another perspective, if the success of enterprise digital transformation is more attributed to human factors such as enterprise management, this setting itself is contrary to the original intention of enterprise digital planning. The goal of enterprise digitalization is to reduce the complexity of enterprise management. , Reduce the intervention of human factors. When making strategic planning for enterprise data, it is necessary to introduce a new mode of thinking, and to consider the digitalization of the enterprise itself in the process of digitalization based on past successful experience, so as to make the process of enterprise digital transformation more controllable.
-
Third, organizational change is very important:
When people realize that data is a factor of production, the data department of the enterprise has changed from the previous service support department to the core department of the enterprise.
This process will definitely lead to many management changes. How to design the positioning of the data organization in the enterprise, its responsibilities, and the collaboration with other departments directly determine whether the enterprise will go smoothly or bumpy in the process of digital transformation. Therefore, a very important part of the data strategy is the definition of enterprise data organization and the determination of relevant responsibilities and rights.
The series is to be continued, so stay tuned...
A learning and exchange group for data governance has been established , hoping to build a platform for industry partners to communicate with each other and learn and progress together!
In the group, industry information, data industry dry goods materials, research related, industry resource cooperation and other content will be released, and industry celebrities will also show up to share from time to time! Interested
data people, welcome to join~~
Please note when joining the group: name + region
