Achievement of customers | How can enterprises cultivate "data culture"? Smartbi teaches you 3 steps

With the development of the wave of digitalization, more and more enterprises are using various data processing tools such as BI to improve work efficiency in actual work. It is true that BI tools can help employees better understand and analyze data, thereby discovering opportunities and challenges in the business. However, if they only provide tools and technologies without paying attention to cultivating employees' data literacy, it may not be able to directly and effectively Improve your organization's data-driven capabilities.

Some enterprises have purchased BI tools, but they are often faced with the problem that in addition to technical personnel, there are still a large number of business personnel who will not use them. In the end, the purchased tools cannot release value well, and it is difficult to use them well. Help improve work efficiency and optimize decision-making level. In order to solve this problem , it is particularly important to improve the data analysis capabilities of the overall enterprise employees, and the most basic of which is to learn how to use BI products.
In digital construction, it is more important to mobilize employees' awareness and participation in data analysis, not only to master the skills of data analysis, but also to be good at using analytical data to improve work efficiency . An IDC report pointed out that every company in the future will be a data company. A truly modern business fosters a culture that is increasingly being dubbed a "data culture." The appeal of data culture is coming out. As a form of corporate culture, data culture is actually a data-oriented thinking and behavior mode shared within the enterprise . By establishing a data culture, employees can be encouraged to share, share, and share business data, feel and respond to changes in a timely manner, and use data as an important resource to drive business development, improve the accuracy and efficiency of decision-making, and achieve business growth. IDC's report "How Data Culture Helps Improve Business Value in Data-Driven Organizations" pointed out that an enterprise's data culture maturity is divided into four stages, namely data-aware, data-adopted, data-mature, and data-leading. The more efficient the use of data, the release of the value of "digital assets", and the establishment of a strong data culture, the more enterprises can improve the business indicators of the enterprise, covering multiple dimensions such as customer indicators, financial indicators, employee indicators, product/service indicators, etc. . IDC "How a Data Culture Can Drive Business Value in a Data-Driven Organization"

As digital transformation enters the deep water area, more and more companies hope to build a data culture, improve employees' data analysis capabilities through course training, actual combat competitions, etc., and create an atmosphere where "everyone is a data analyst" so that business and Data technologies can be combined more closely and efficiently to achieve data-driven growth.
Based on this, Sematic is actively co-creating corporate data culture with customers. At present, it has planned data analysis training camps for customers in many industries such as finance and energy, focusing on data analysis to empower business. Employee enthusiasm, course training, Practical drills and other links provide strong support, and help customers consolidate the training effect in an all-round way through the form of learning + asking + practicing + testing.

 1    Raise awareness and mobilize the learning enthusiasm of data analysis

Creating a data culture requires overall changes within the enterprise, breaking down barriers between different departments, and achieving interconnection between business departments and technical departments, rather than individual actions by a specific department or team. Therefore, the data analysis training camp is preheated and publicity are very important. Sematic generally shares practical cases of data analysis in the industry, expounds the value of data analysis to business, enhances employees’ awareness of data application, drives more relevant business departments to participate, and jointly promotes the construction of data culture .

 2    Theoretical learning, combined with business scenarios to master BI tools

To implement a data culture, it is necessary to improve the awareness and participation of the overall enterprise employees in data analysis. Based on this, many companies will choose to hold data analysis training camps to train and empower employees. Sematic plans data analysis training camp courses in combination with the specific business scenarios of the enterprise, combines theoretical knowledge with practical application scenarios, and helps employees understand the value of data analysis, thereby improving data management and application awareness, and ultimately helping to solve real business problems.

 3    Practical drills, in-depth practical business theme scenarios

To build a data culture, all employees need to really use BI, and conducting practical exercises through data analysis competitions is an effective way to conduct in-depth practical business scenarios. Sematic software has helped many companies plan and hold data analysis competitions. Through the competition to promote learning and application, the results of learning can be effectively verified, and the digital quality and ability can be continuously improved in practice, so as to achieve data-driven business Growth, and finally realize "everyone is a data analyst", and create a strong cultural atmosphere of data analysis.

- Customer success -

Sematic software adheres to the concept of "achieve customers" and empowers enterprises to promote the development of data culture. Last year, Sematic worked with Changsha Tobacco to hold activities such as Smartbi training camp and data application competition, igniting the "new engine" of business skills through data application scenarios, stimulating the innovative vitality of retail customers and marketers in data applications, and creating a platform for internal data analysis. atmosphere.

In the digital transformation of enterprises, "people" is the foundation, followed by "tools". If the digital transformation is to be carried out smoothly, it is not only necessary to adopt products with high ease of use, but also to improve the ability of business personnel to use digital tools, so that business personnel can really make good use of digital tools and ensure the maximum value of data assets. Based on this, the fundamental purpose of data analysis training is to help companies improve their business personnel to improve their digital quality and lay a solid foundation for their digital transformation.