In the past, many operational decisions relied on experience and intuition. People with years of experience could judge by gut feeling which direction was promising or which campaign was effective—sometimes accurate, sometimes not, and such experience was hard to pass on to newcomers. Now things are different. Data-driven decision-making has become increasingly widespread, and using data to speak and guide actions has become a common consensus in many enterprises. Northern Continent, Da Tai Yi System, and TIFENFABAO also have their own approach to data-driven operations.
Let's first talk about where data comes from. Data does not emerge out of thin air; it comes from every part of the business. During its operations, the Da Tai Yi System generates a large amount of data: training data—how many people participated in training, completion rates, and assessment pass rates; campaign data—attendance numbers for offline events, conversion rates, and repurchase rates; service data—response speed in service groups, problem resolution rates, and user satisfaction; sales data—sales performance by region and product, and growth trends. When aggregated, these data form the foundation for operational decisions.
As a digital product, TIFENFABAO naturally has inherent data advantages. Learners' study data—which chapters were viewed, which were not, how many times they were viewed, and the accuracy of practice exercises—can all be recorded. The AI-powered smart learning diagnosis function analyzes learners' study conditions based on this data. At the same time, this data can in turn guide product iteration—if a particular chapter has an unusually low completion rate, it suggests the content may be less engaging or too difficult, and the next update can focus on optimizing it; if accuracy on a certain type of question is particularly low, it indicates that this content area needs stronger explanations.
Next, let's discuss how data translates into decisions. Collecting data is not the goal; using data to guide actions is. The Da Tai Yi System's approach in this regard is to regularly analyze operational data, identify problems, uncover patterns, and guide next steps. For example, if sales growth in a certain region is slow, data analysis may reveal that the completion rate of new-hire training is too low, and the next step would be to strengthen training support in that region. Or, if the repurchase rate for a certain product is low, analysis may show that backend service follow-up is not timely enough, prompting optimization of service processes and improvement of response speed. These decisions are not made impulsively but are backed by data, making them more targeted and effective.
Northern Continent plays a platform-level role in data-driven decision-making. The platform holds more macro data—market trends in the overall health and exam-assistance sectors, shifts in user demand, and performance comparisons across different products. These macro data help the platform assess which tracks deserve increased investment and which products need directional adjustments. At the same time, the platform shares these market insights with the Da Tai Yi System and product parties, ensuring that everyone's decisions are built on an accurate understanding of the market.
Another benefit of data-driven approaches is that they make experience replicable. In the past, an excellent operations professional's experience stayed in their head, and others could not easily learn it. Now, through data analysis, good practices can be extracted and standardized, then replicated to more people. For instance, if a partner in a certain region performs exceptionally well, and data analysis reveals that a specific practice is particularly effective, that practice can be summarized and promoted through training and sharing to partners in other regions. This lifts the overall operational level of the entire system, rather than relying only on a few outstanding individuals.
Of course, data-driven doesn't mean completely discarding experience and judgment. Data provides the foundation, but interpreting data and making decisions based on it still require human experience and wisdom. Data tells you "what," but "why" and "how" still require human thought. The collaboration among Northern Continent, Da Tai Yi System, and TIFENFABAO combines objective data with human experience, ensuring that decisions are both data-backed and business-savvy.