When talking about participating in the 2022 Fanruan Data Analysis Competition last year, Lin Jiaxi, the BI project manager of New Hope Group, still "remembers it fresh". With the entry "Career Urgent - Yuelao KPI Drop Analysis", the team he led won 193 entries. The work "stands out" and won the "Best Display of Creativity Award" in the competition.
In fact, Lin Jiaxi has participated in two consecutive FanRuan BI data analysis competitions, and won both the "Best Industry Application Award" and the "Best Presentation of Creativity Award". He spoke very highly of the BI data analysis contest held by Fanruan, and believed that it would be of great help to BI practitioners throughout the country. In the past few years, he has always participated in the contest with "a mentality of participation and learning". , I hope that through the competition, I can not only improve my own ability, but also better train the team.
Looking back, this is also an important reason why Fanruan has continued to hold the BI data analysis competition since 2020—hoping to help more professionals improve their data analysis skills through a new way that integrates competition, training, and communication. Leading the development of attention to the value of data and contributing to the cultivation of data analysis talents in the whole society. At the same time, through holding competitions, the concept of "everyone is a data analyst" that Fanruan has always advocated can be better rooted.
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And just recently, the 4th FineBI Data Analysis Contest in 2023 has also officially opened the "registration channel". How to explore and practice the higher value generated by data analysis in specific work, and after participating in the Fanruan BI Data Analysis Competition for many years, what experience can he learn from and refer to, which can be shared with the many "competitors who are about to participate" buddy".
The "driving force" behind the competition for many years
Time goes back to 2022. On March 28 last year, the Yuwa Population Research Institute, established by Liang Jianzhang and Ren Zeping in conjunction with a number of academic experts, released the "2022 Report on Chinese Marriage and Family". The report data shows that in 2021, the number of registered marriages in my country will be 7.636 million, a decline for eight consecutive years. This is the second time the number of registered marriage pairs has fallen below the 8 million mark after falling below the 10 million mark in 2019 and 9 million in 2020. As soon as the report came out, it aroused heated discussions in the society, and at the same time brought "inspiration" to Lin Jiaxi and his team who were planning to participate in the Fanruan FineBI Data Analysis Competition at the time.
Lin Jiaxi said that he and his team selected many themes at that time, including the climate change analysis of "Where did the spring and autumn go?" Austrian theme analysis, etc., and finally because of a comic "When the Post-90s Bus Arrives at the Marriage Station", I was deeply touched. I think it is more meaningful to visualize the data visualization of marriage, a hot topic of current affairs, and return from work to life.
After determining the theme, Lin Jiaxi and his team began to disassemble the overall analysis ideas, and started the data collection work through FineBI. In just a few days, the entry "Career Urgent - Yuelao KPI Decline Analysis" was completed Done successfully. In his opinion, compared with report-style or traditional BI, Fanruan's FineBI has always been a very "agile and easy-to-use" tool in terms of chart making and data analysis.
Looking back on the entire competition process, Lin Jiaxi believes: "This time the team only took a few days from topic selection to the final product. Although it is a bit rough, it can be regarded as a recent practice of learning data analysis. Data collection and conclusion writing are the most costly links, but I am very moved by the serious and responsible attitude of the small partners, and the efficient implementation, the power of teamwork is far greater than that of going it alone."
As the so-called "see the big from the small", Lin Jiaxi told me that the reason why he has actively participated in the FineBI data analysis competition for several years is mainly driven by three aspects:
First, experts gather and see more possibilities for data analysis . There are often more excellent corporate cases emerging in the entries each year. Although these cases have been "desensitized" in terms of data, the theme of the work itself , Design ideas and UI display and other details still have a strong reference and reference value, which can promote familiarity and communication among different companies and make progress together.
The second is that the competition and teaching are integrated, and it is the best time to train the team. For BI practitioners and even BI participants, the competition also provides a very good opportunity for practice and exercise. "Through the works, we can exercise our external competition and internal cooperation, and we can output the ideas and practices we usually accumulate, so that whether it is our subsequent use of BI tools, specific project management, or even collaboration capabilities will be greatly improved. It is a big help. Also, unlike the projects you have to execute at work, participating in competitions can gain a very valuable experience of participation regardless of whether you do well or not,” he said.
Third, participating in the competition will also help enrich the career experience of BI practitioners. Lin Jiaxi said: "Fanruan is relatively influential in the domestic BI field, and the industry's recognition is relatively high, so participating in the competition held by Fanruan, no matter whether it wins or not, can give itself an endorsement of honor. The proof of personal career development ability also has a bonus effect."
From Lin Jiaxi's participation experience, it is not difficult to find that Fanruan FineBI Data Analysis Competition not only provides practitioners and enthusiasts in the field of data analysis with more opportunities to participate and a stage to show themselves, but more importantly, it It can also lay an important foundation for the development of the entire BI industry and provide high-quality talents. It has not only become a "bridge" between grafting enterprises and industries, but also a "fertile soil" for talent training in the data age.
Data analysis has become the "new driving force" for enterprise development
Similarly, Lin Jiaxi also "empathizes" with today's companies' increasing emphasis on "data analysis"-related work. In the past six years, his position has changed from a commissioner to a supervisor to a BI project manager. His biggest feeling is: " In the early days, many companies mainly discussed whether to do digital transformation, to discuss how to realize and implement digital transformation, and now to assess the work of data analysts. This transformation is still very rapid. We are now discussing more about how BI operates. And how to implement data applications and how to use them for business."
Many years of front-line practical work, Lin Jiaxi also summed up a lot of experience, the most important of which is that the implementation of BI data analysis, in addition to data system construction, talent system construction and process system construction, the operation and maintenance system It is also very important, and this is also the core content of the "3+1" service system that New Hope Group is promoting around BI.
In his view, in the regular BI report development process, many data teams have a "project-based" thinking, which means that the development work of many daily reports ends after delivery, often in the follow-up work , There is generally a lack of attention and feedback on the use of user reports, and there is no closed-loop management of product-oriented thinking.
"Therefore, to truly understand the life cycle of a report, it should be the end of its life when it is finally taken off the shelf, not the end of online delivery. This also makes us often say internally that doing data work can't just be 'children ' , regardless of raising the child well'. " Lin Jiaxi said.
Specifically, "giving birth to a good child" mainly requires the data analysis team to ensure the accuracy of the data when the report is developed and officially released, and to meet the unified specifications of the group, that is, grouping, data The naming of the roles must be standardized, and the performance should meet the requirement of less than 3 seconds. The ultimate goal is to solve the pain points of the key roles of the target users of the report, and realize "think what they think, feel what they feel, and satisfy it needs."
And "raising children well" refers to the operation and maintenance after the report is launched. The most core indicator in this process is the "BI report usage rate". Its calculation mode is the number of monthly operations divided by the number of days in the month and divided by The number of authorized users also has a calculation model for monthly coverage, which is the number of monthly target users divided by the total number of monthly target users. By observing this core indicator, the data analysis team can see whether the work of a report can be produced. Give the corresponding value, and whether it can really help users solve their pain points.
"By observing the usage tracking after the report is online, we can understand why some users do not use it, and then think about whether our online training and publicity work is in place, whether the target users know that there is an entrance to view the report, and know how to use it, and then go online Next, understand the reasons behind the reports or personnel that are used less frequently, and finally take targeted measures, collect feedback and summarize experience. In this way, the data and report analysis work is constructed, from operational goals to operational measures to The final closed loop of subsequent optimization iterations." Lin Jiaxi said.
At the same time, "raising children well" is inseparable from daily training work. Lin Jiaxi told me: "In this regard, we have also taken a lot of detours. In the past, our training content and methods were more 'crammed', pursuing large and comprehensive. Now, we have changed the training idea, that is, to In some of the better training experience, the focus is on teaching users the necessary and important functions, and some extended functions can be developed step by step later. Taking FineBI as an example, the current training method is also taking the "small but refined" route, so that Operation and operation and maintenance resources can be brought to the users who use it, so that 'the rich first drives the rich later'."
Of course, no matter whether it is "giving birth to a child or raising a child well", in the final analysis, it is still necessary to enable data analysis work to better empower enterprises and users. To this end, New Hope Group, where Lin Jiaxi works, has also constructed the concept of "user journey map", that is, by sorting out key roles and the pain points of this role in each business stage, and providing corresponding data solutions according to their needs . For example, in the bidding process, bidding engineers will have different business needs and different report requirements at different business stages, so the data analysis team needs to provide corresponding data solutions according to their needs, or provide different Data reports to help them better carry out the bidding work.
Undoubtedly, Lin Jiaxi’s experience in front-line practice for many years is also to some extent a "true portrayal" of the application of BI data analysis in China - that is, with the help of BI tools "empowerment", enterprises can realize the unification of data standards , solve problems such as data islands, and integrate internal and external data at the same time, and make the data a data resource that can be mined and analyzed, thereby empowering the operation and management of the enterprise. It can be said that BI has become an enterprise to release data productivity and improve The "good assistant" and "new driving force" of the company's competitiveness.
When it comes to Fanruan, Lin Jiaxi also gave a good review, "Really raising children well", in addition to project delivery, perfect competition mechanism, professional research institute consultation, rich activity platform and high daily activity community, gave data analysis It is a unique "private land" for the teacher group , so as to communicate more with peers so as not to rest on our laurels.
"Everyone is a data analyst" takes root
In the dialogue and communication with Lin Jiaxi, we can actually observe another major change in the BI market, that is, the users of BI are expanding to more front-line business personnel, and the changes in the users also make BI Whether products and solutions are "easy to use and easy to use" has become a key indicator for measurement.
During this process, as a pioneer, witness and participant in China's BI software market, FanRuan has also been constantly reflecting and gaining insight into product design and enterprise implementation costs. In 2022, after successive visits to many customers and professional analysts, Fanruan FineBI team decided to "start from scratch" and create a brand new self-service BI tool - FineBI6.0. The concept has realized the improvement of user experience and business value, and let Fanruan's new proposition of "everyone is a data analyst" further realize the "rooting".
Regarding the value proposition of "everyone is a data analyst" proposed by Fanruan, Lin Jiaxi also expressed his own views. He believes that judgment and interpretation can be made from three dimensions:
First of all, everyone needs to be a data analyst , which means that the digital transformation of enterprises today has reached a "deep" stage, and the development of artificial intelligence and data analysis tools will make data analysis more important. Data analysis tools will also become the most basic and necessary skills for "workers" just like using Office.
"It should be said that the development of new technologies has put forward contemporary requirements for every employee in the workplace. Therefore, employees in the workplace need to actively improve the corresponding data analysis capabilities, so as to establish their own competitiveness, instead of simply relying on repetition as in the past. Business execution has survived in the workplace. Especially after the emergence of ChatGPT this year, I feel very deeply that repetitive labor in the future will be replaced by artificial intelligence or other tools. This is what I have always hoped to use data empowerment to think about the business behind After all, the data analysis experience here will definitely not be replaced as easily as the daily repetitive business execution work." Lin Jiaxi said.
Secondly, everyone can be a data analyst. This refers to the application of data analysis tools. In this regard, Lin Jiaxi also "feels deeply" after using FineBI for many years. He said that choosing a good tool is actually an important thing for data analysis practitioners, and FineBI has two major characteristics: one is self-service and exploratory, and its chart presentation can help data analysts land on the ground. At the data application level, even if you are not a dedicated data developer, you can complete the corresponding data analysis projects.
Second, compared with other products, FineBI is more "down-to-earth" in China. From the service point of view, FineBI provides a better learning path, learning materials and corresponding relatively complete training and certification services, so that data analysts can clearly know "what to learn and how to learn." Not only that, FanRuan products The personal versions of . Therefore, from the perspective of tools, FineBI provides the possibility of "everyone can be a data analyst".
In the end, everyone can be a data analyst, and this is mainly for the higher capability requirements of data analysts. Lin Jiaxi emphasized that it is not difficult to use data analysis tools, but how to become a "data analyst" is rare. Among them, "understanding the business" is the key threshold, which requires both business personnel and data personnel to be able to explain the business clearly. Meaning, process, value, to be familiar with the top-level business goals and sub-goals "dismantling", and be able to judge business competition through data, understand the business operation strategy behind it, be familiar with business historical performance, current key data and future development plans.
In other words, becoming a "data analyst" is not achieved overnight. In the future, if data practitioners want to go to a higher level to achieve breakthroughs, then it becomes "imminent" to build their own competitiveness based on business sorting capabilities.
The "Winning Secret" of the Data Analysis Contest
Finally, for the forthcoming 4th FineBI Data Analysis Contest in 2023, Lin Jiaxi, as a participant who has participated in consecutive entries and won multiple awards, also shared his personal "winning secrets" for participating in the competition, specifically:
First, regarding the theme of the competition, the excellent works that emerged in the FineBI data analysis competition in the past few years are often concentrated in the "retail" industry, which is directly related to the deeper application of BI in the retail industry. There are also a lot of learning materials, so for newcomers, choosing topics related to the retail industry is an easier choice to get started.
Of course, in order to stand out among the many works, the "novelty" of the work is also very important, and from the themes and works in the past few years, we can also see that many themes are works based on data news, descriptive Analytical works are the main focus, but there are relatively few works of analysis and mining, art design or diagnostic analysis, predictive analysis, and normative analysis. Therefore, contestants who want to achieve breakthroughs can focus on the latter for more in-depth thinking .
Second, regarding the idea of participating in the competition, data analysis actually requires the pursuit of a "big and comprehensive" analysis idea, but this kind of "all-inclusive" is also relatively challenging, so contestants can change their thinking, that is, they can focus on a certain A specific problem forms a PDCA cycle, and a specific analysis is made on a specific product to create a "quality work" with a specific problem, which makes it easier to make value.
Third, with regard to the pace of the competition, there was also a phenomenon in the past data analysis competitions, that is, whether individual or team entries, a considerable proportion of them all submitted before the deadline. Therefore, Lin Jiaxi also strongly recommends that contestants submit their entries one to two weeks in advance to allow themselves more time for optimization, which will make their works " Going to the next level" can also make it easier for the work to "stand out".
In general, with the rapid explosion of data, the importance of data analysis and the cultivation of talents behind it is self-evident, and Fanruan has released the personal experience for more practitioners like Lin Jiaxi by continuing to hold the FineBI data analysis competition. Value, providing more space and stage. It is believed that the holding of this competition will also provide more "soil" for the cultivation of talents in the entire field of data analysis, and inject more innovative vitality into the development of the entire domestic BI industry in the future.
Click "Read the original text" to learn more about the 4th FanRuan FineBI Data Analysis Competition in 2023. At the same time, enter the competition registration channel to "sign up".
Shenyao's Science and Technology Observation was founded by a senior technology media person, Shenski, who has 20 years of experience in dissemination of enterprise-level technology content. He has long focused on the observation and thinking of industrial Internet, enterprise digitalization, ICT infrastructure, and automotive technology.
