When he was invited for the first time, he had no interest in Sang Wenfeng’s idea of “planning to do dating website”, and adjusted the direction of entrepreneurship for several times. When Sang Wenfeng said that he wanted to do a big data analysis product, Fu Li felt reliable and finally agreed to join.
What attracted him was a fervent belief in technology.
Most of 2015, China’s enterprises began to enter the digital construction stage, at the time of the market environment, enterprise data foundation consciousness is very weak, in his view, SangWenFeng proposed “to reconstruct China’s Internet data base” the corporate mission of precision on the enterprise most pain points, god strategy to “circle” the land is caught in the construction of enterprise digital “Ming”.
God policy data was born In this piece of data consciousness of the wilderness, Fu Li and Sang Wenfeng, Liu Yaozhou, Cao Stubborn and a group of powerless knowledge heroes, In an all-in attitude to start a business career.
Three years, 12 big versions
In December 2018, Shence Data had just moved to the Quantum core block for about half a year. The rapid expansion of the team made the previously empty office space seem a little crowded. When you walk down the aisle of the company, you have no idea what kind of industry background the employees coming towards you have: China’s leading gods, masters of deep learning… Li Li, who just won the title of “30 Under 30 Elite Of Forbes China”, seems to have no problem shuttling around the office.
It has become a place where big data technology lovers yearn for, and there are often job seekers who are attracted by its fame. They are eager to have the opportunity to contact or learn from the latest and most cutting-edge technologies and applications here.
Three years ago, the startup team of Shence Data started the experimental road of promoting the construction of data in China, enabling enterprise data productivity for Chinese enterprises. Three years later, in a market full of gimmicks and homogeneous competition environment, Shence data built its own technical barriers.
“I never doubted the company’s technical prowess.” Fu Li li said. Technical innovation has become the core competence and enterprise gene of the company. Although unknown at the beginning, baidu’s “noble blood” flowed in its veins. The start-up team was all from baidu’s Big data Department. The team that built Baidu’s big data platform from scratch expanded to the whole company, which had a significant influence on Baidu.
In September 2015, Shenze Data officially released version 1.0 of Shenze Analytics. In the following three years, the product development team has been continuously iterating version, so far, a total of 12 major versions have been released. From the initial use of only three thin basic analysis functions, to now support the joint construction of 10 analysis models of the scenario analysis ability; From a small App that could only support tens of thousands of days of daily life at the beginning, now it can easily cope with a huge App that can generate tens of billions of data a day.
As an important “pilot” of Shence data research and development, Fuli is very proud that the overall architecture based on the Event-User model was determined in the 0.1 version of Shence analysis. Three years later, this model and its corresponding architecture are still the foundation of the whole Shence analysis system. Moreover, shence’s practice results in hundreds of customers in different industries also fully prove the adaptability of this model and architecture — it is serving more than 500 paying enterprise users such as China UnionPay, China Telecom, Baidu Video, Bailian, Wanda and Xiaomi.
Efficiency first cognition and thinking
The author asked Fu Li, in the process of rapid development, the company’s most critical question is what?
“Efficiency,” he says.
“Efficiency” is not a lofty concept, but it points to the essence of the enterprise. This is the common situation faced by most growth-oriented enterprises — large-scale development brings management challenges to enterprises. In addition to continuously polishing products based on customer demand, enterprises also need to solve the pressure of “capacity” brought by large-scale development.
The essence of an enterprise is an efficiency machine. “Build efficiency machine” is one of the corporate culture of Shence Data. Shence emphasizes that the enterprise is a collaborative and efficient whole, encourages employees to complete their work efficiently, and more importantly, pays attention to the efficiency brought by creative thinking.
Fu Li li, a lifelike from the “efficiency machine” out of the character: accurate, efficient, innovative, ultra-long standby…… In the author and Fu Li li one hour of brief communication, his language restraint and stability, can say a word clearly, absolutely not say a word, cherish the word such as gold, but also hit the nail on the head, because it is the old staff meet, even the basic greetings also province.
“Client time is precious, everyone’s time is. Customers want to solve problems, and every employee needs to focus on effective communication.” Outwardly modest and gentle, there is a rebellious, and not group of persistence and concentration. He usually never wastes any time on meaningless communication, but when he solves problems at the customer site, he is efficient and direct, just like the key finds the lock hole.
View automation to improve efficiency and product iteration as “level”
Like Fuli, in addition to the daily iterative product development, the engineers of Shence R&D team focus on improving the work efficiency of internal and external teams. They shoulder the responsibility of continuous development and creating methods to improve the current process: According to the feedback of each team, I will sum up the problems, try various automatic technologies, and constantly iterate products and tools to solve the work efficiency problems of other teams inside.
As early as in the baidu, FuLi force implements a code generation based on Map/Reduce model framework, and apply for patent – “a way to generate the target code, data processing method and device”, greatly reduces the commercial developers to realize data processing work difficulty, improve the reusability of the code, is beneficial to the transplantation of code and maintenance, In Baidu and even the industry is a sensation.
“For both customers and for Shenze itself, automation is the essence of improving the efficiency of the enterprise, not only eliminating the duplication of efforts of the team, but to a certain extent, far more than the efficiency of human beings. Add another machine and the calculations can be done in seconds. Automation through code is always the most elegant way to solve a problem.” He said.
Years of research and development experience, so that Fu Li has been used to abstract all kinds of complex and non-chapter needs, and then through their own deep thinking to efficiently solve. “Is there any other way? Why A? Why can’t it be B?” Such self-repeated assumptions, verification and optimization forces him to constantly transcend his “comfort zone” and strive for perfection. The product functions and efficiency tools developed by The Shence Data team are all derived from the idea of pursuing perfection one by one. Such as:
Is it necessary to record customer service manually? Is there a more efficient way? Twelve days later, the customer work order system was created.
The analyst team verifies that event design takes time and effort. Can it be automated? A week later, automated data validation tools were created.
Data migration is time-consuming and laborious. Can it be solved? One month later, an automated cross-cluster data migration tool was developed.
…
“It’s a balance of short-term and long-term interests.” Lili emphasizes that customer demand-oriented product iteration is always at the same level as the need to improve the efficiency of inter-team work. “If you only focus on the immediate needs of the product, it may seem like the product is iterating quickly and adding many new features, but it actually creates a long-term potential for team inefficiency.
In this way, deeply influenced by the Baidu culture that “everything is based on solving problems”, “problem solving” has become the first driving force of Shence data technology team. They can’t stand repetitive human labor, inefficient tedious operations, and their world is no longer just pure technology, but a group of problem solvers: problems that can be solved by code are not problems.
At the same time, the company’s internal organizational model and way of thinking are built around “work efficiency”. In the office environment, there is no deliberate pursuit of creative design, and the desk is open, direct and without barrier, which is very conducive to communication and thinking collision between employees. Even the standards for more comfortable, flexible chairs allow for the most comfortable means of employee communication. The four founders didn’t have their own offices, so their desks were submerged in the office space, where they could talk to employees, leaning sideways or tilting their heads…
Freedom and Efficiency: Selective fault tolerance
In a “problem driven” work environment, the value of an employee is measured by how much each employee contributes — what kind of problem you solve and what kind of value you contribute.
Authority comes from experience and problem solving success, not rank. Every employee is encouraged to challenge the job, and good work methods and ideas can be put forward at any time. With problem-solver employees as the core, the hierarchy is flat and enjoys greater freedom.
“We trust technology more than management, data more than experience. It means solving problems with technology and verifying results with data, rather than relying solely on systems and processes.” Fu Li li said.
Every employee will pay attention to rational decision-making. “asking questions – analyzing information – proposing changes – making updates – giving feedback again – iterating one after another” is the main process of every functional line of Shence. And to encourage open innovation, they will allow selective trial and error.
Especially for some new employees, because of the difference in work experience, they often have different views on some technical issues. They are encouraged to share their ideas within the team, or to practice their ideas directly. “Although the development efficiency may be reduced in the short term, it usually improves one aspect of the team and makes new colleagues better fit in.”
“When looking for a method, we should not blindly pursue safety and security. ‘Wrong’ means that the verification results do not meet expectations, and does not mean failure.” Fu li said that employees are encouraged to start from the point of view of the problem and can try a variety of methods for continuous improvement. If the same mistake is repeated, which destroys the learning organization mechanism, it should be paid attention to and dealt with, and made a quick decision.
Shence culture and Lego culture
Lili is obsessed with Lego, its unrestrained craftsmanship, and the release of whimsical ideas. More importantly, in his eyes, there is a subtle connection between lego’s spirit and its corporate culture.
For one thing, Lego’s products are extremely flexible.
Six 2-by-4 lego bricks can produce more than 915 million combinations. Players can only create new models if they keep thinking outside the box. Given enough time and enough Lego particles, users can become the “creator” of their own imaginary world.
“Any two Lego bricks can be inserted into each other, and then fit together again. It’s not hard to read the ultimate culture of Lego. It’s not just a matter of assembling it, of using our wild imagination to create something new.” In Lili’s eyes, lego is no longer an ordinary object, but more like a tool, just like the pigments used by painters in painting.
This is precisely what Shence data is pursuing in the process of enterprise service. This is similar to the value that Shence data brings to customers: building a solid data foundation for customers. On this highly extensible PaaS platform, customers can build data-driven solutions that meet their own enterprise needs at will by using the product matrix and basic components provided by Shence.
Second, Lego has struck a balance between innovation and efficiency.
Lego culture encourages disruption, to challenge the organization, to create change, to destroy, to find a new direction, that’s innovation. At the same time, the seemingly complex and sophisticated Lego is also efficient — the introduction of full production cost value to control the cost of innovation, allowing designers to use more common building blocks to create more new products. This played a big part in lego’s loss-making rescue, which eventually turned the business around. The e idea of shence product iteration is similar to this one — to develop new product lines around the general direction of data-driven, constantly improve the product matrix, and design reusable architecture and components in the process of product development, continuously improve the efficiency of research and development, and reduce the cost of building each new product.
The end of the
Focus on problems, freedom and efficiency… Shence’s corporate culture originates from Baidu, and is upgraded and improved according to the situation of the enterprise.
The DNA of mastermind data is an engineer culture, a doer. Shence data culture, tools and processes are dedicated to serving our customers. We are committed to providing efficient and valuable service to every customer and helping them make the best decisions.
God ce data every engineer, like FuLi force, is full of geeks blood in the body, they are the pursuit of ideas and thinking of a group of people, the company was founded three years, one thousand days and nights, they always technology, has always been the pursuit of perfection, always seek improvement in stability, and in break out in a wave of Internet Jue stand, to reconstruct China’s Internet data base.
About the divine policy data
Shence Data is a professional big data analysis and marketing technology service provider. Focusing on user-level big data analysis and management needs, the company has launched shence analysis, Shence user portrait, Shence intelligent operation, Shence intelligent recommendation, Shence Guest view and other products.
In addition, it also provides big data related consulting and complete solutions. Shence data has accumulated China Union Pay, Xiaomi, China Post Consumer Finance, Haitong Securities, Guangfa Securities, Orient Securities, Central Bank, Baixin Bank, CyTS, Ping an Life Insurance, Sichuan Airlines, VIPKID, Oriental Pearl, China Resources, Youzan, Baixing.com, Goods Lala, Flash delivery, Donkey Mom, Keep, 36 Krypton, Largo, VUE, Chunyu Doctor, Jumei Youpin.com, Edge Edge games, Laogou, Funenjoy and other more than 1500 paying enterprise users of the service and customer success experience, for customers to provide comprehensive indicators sorting, data model building and other professional consulting, implementation and technical support services. For more in-depth understanding of divine policy data or data-driven related questions, please consult 4006509827, answered by a professional consultant.