At the Digital Intelligence New Application Forum of the Kyligence User Conference held on July 14, Ms. Du Ying, DataFun COO, gave a keynote speech on "The Vertical Developer Community's Independent Insight into Polaris Indicators Based on the Indicator Platform" . Next, let's take a look at how DataFun can achieve independent exploration and analysis of North Star indicators without a dedicated IT team, thereby achieving key goals, enhancing the vitality of community users, and promoting the continued growth of the community.
Ms. Du Ying mentioned in her sharing that Kyligence helps DataFun achieve efficient attribution analysis of Polaris indicators and empower business decisions . In the one-stop indicator platform Kyligence Zen, DataFun can centrally manage data and indicators from different sources, and adjust business and management goals in a timely manner through goal management and other capabilities to facilitate task division, resource allocation, progress evaluation and optimization, and improve the overall organization and collaboration capabilities. Here we have specially compiled the transcript of the keynote speech of the day. The one-stop indicator platform Kyligence Zen has opened a limited number of free trial quotas. You can access the application channel at the end of the article.
Ms. Du Ying made a foreshadowing at the beginning. She mentioned that DataFun itself does not have a dedicated IT team, but it can also independently explore the North Star indicators , including analyzing the essence behind the fluctuations of core business indicators, to tracking the progress of achieving key goals and Risk reminders can fully unlock and enhance the vitality of community users, and build sustainable growth strategies in a digital and intelligent way. Let’s find out in a moment how this is done.
Ms. Du Ying's speech was mainly divided into two parts. First, she briefly introduced the positioning and user characteristics of the DataFun community.
DataFun was established in 2017. So far, DataFun has become the number one social and private media in the vertical field of data intelligence in China. So which groups of people does DataFun mainly relate to? We can look at it from two aspects:
The first is the content generator
These are actually the experts in our community. These experts are all big names in data, artificial intelligence, algorithms, etc. These experts will provide us with professional content. Many times we find that when we communicate with data training partners and partners, they will feedback that the cases done by DataFun are exactly what their courses need. This is precisely because the experience of our experts comes from real companies. Practical combat in the fields of IT, data intelligence and artificial intelligence.
The second is content consumers
We find that DataFun is recognized by more and more middle- and high-level people. Here is a look at the main distribution of DataFun users. They are basically from mid- to high-level positions in enterprises, such as algorithm engineers and architects, as well as heads of various departments, technical VPs and CTOs. This also supports our community. The repurchase rate is at the top level in the industry.
Then Ms. Du Ying focused on the business value brought to DataFun in terms of user activity and sustained growth through the cooperation with Kyligence.
DataFun has a lot of user data and sources, and it also generates a lot of dirty data. The company is not actually large, and it does not have a dedicated IT team. However, when we do data intelligence, we care very much about the value that data can generate. This is why We chose to cooperate with Kyligence.
We hope that all users of our platform, including all user behaviors, can use this data to get feedback on whether our content is good or not; what exactly does each of our summits, every forum, and every course include? What kind of problem or what can be done better. Those who are familiar with DataFun know that we mainly offer courses on Xiaoetong. At the beginning, we also obtained information from the course platform, but it is definitely not enough to simply use these data to feed back our business, so we adopted Kyligence's products and solutions to support our North Star indicator system and business analysis.
A very important point in this process is how we define the North Star indicator. We need to ensure that in the process of defining this core indicator, everyone in the entire department can have a unified understanding. We must confirm that this indicator truly reflects our business situation and can well predict what we need to do. Adjustments can produce expected or even better business results. We finally decided to use Kyligence, a product and solution that allows DataFun to effectively monitor every detail of our North Star indicators, such as specific user profiles, how active new users are, how old users repurchase, and unpaid fees. How long do users spend studying, and then adjust our content for optimization.
The key thing here and what impresses us is that Kyligence can help us do a complete attribution analysis based on North Star indicators. The entire process also does not require the intervention of the IT team, including detailed interpretation through different dimensions. In this way We will then be able to discover details and strategies that need to be adjusted.
From the two pictures above, we can intuitively see the real situation of the community reflected by our different user groups at different stages. This allows the product to be directly pulled out: you can see that especially during the period when the Polaris indicator value drops, our unpaid user contributions are still very high, and old users have actually been using our products, but they are overall active The degree is not high. This reflects a problem from the side. We have not done enough in the operation of old users. We must make corresponding adjustments in strategy in a timely manner. This will greatly support our decision-making.
We also particularly want to use the newly released Kyligence Copilot as an AI digital assistant. We believe that business personnel can directly talk to indicators based on this. They can get such attribution insights through simple questions and answers, and at the same time have a quick reference and suggestions. .
Finally, Ms. Du Ying concluded that the value of Kyligence for DataFun is reflected in several main dimensions: including unifying the definition of North Star indicators across roles , and aligning the communication and collaboration of the entire team through goal setting and attribution analysis. Consistency , and effectively reducing data development costs throughout the entire process . At least at this stage, DataFun does not need to set up a dedicated IT team, and can also focus on the business North Star indicators to focus on the user vitality and continued growth of the community. A series of key matters related to analysis, forecasting, and operational and decision-making adjustments.
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About Kyligence
Kyligence was founded in 2016 by the founding team of Apache Kylin. It is a leading big data analysis and indicator platform provider. It provides enterprise-level OLAP (multidimensional analysis) product Kyligence Enterprise and one-stop indicator platform Kyligence Zen to provide users with Provide enterprise-level business analysis capabilities, decision support systems and various data-driven industry solutions.
Kyligence has served customers in multiple banking, securities, insurance, manufacturing, retail, medical and other industries in China, the United States, Europe and Asia-Pacific, including China Construction Bank, Ping An Bank, Shanghai Pudong Development Bank, Bank of Beijing, Bank of Ningbo, Pacific Insurance, China UnionPay, SAIC, Changan Automobile, Starbucks, Anta, Li Ning, AstraZeneca, UBS, MetLife and other world-renowned companies, and has reached global partnerships with Microsoft, Amazon Cloud Technology, Huawei, Ernst & Young, Deloitte, etc. Kyligence has received multiple investments from institutions such as Redpoint, Broadband Capital, Shunwei Capital, Eight Roads Capital, Coatue, SPDB International, CICC Capital, Gopher Asset, and Guofang Capital.