Shulou(Shulou.com)11/24 Report--

On October 20, Guanyuan data 2023 Intelligent decision Summit and Product launch was successfully concluded at Pullman Hotel in Shanghai. With the theme of "Agile to the Future", this summit has set up a main venue and three sub-venues on retail consumption, analysis and practice. Important guests from Procter & Gamble China, Unilever, Budweiser Asia Pacific, Zero Automotive, Anxin Securities, Digital Wine Technology, Kaisheng Haofeng, Shandai Wine, Naxue Tea, Vitasoy, Giga Pet, Star charging, KPMG China, billion Euro think tanks and other top 20 + Fortune 500 companies, industry leaders and authoritative institutions attended the summit, and 500 + retail consumption, high-tech, Internet and other industry executives, industry elites Jointly explore the value and path of data-driven agile management under the trend of new economy.

Data-driven agile management

Grasp the certainty in uncertainty

In 2023, under the influence of the complex and severe external environment, the business environment has become more and more changeable, and the market has entered a "new" moment of cycle replacement, which puts forward higher requirements for enterprises' ability to cope with internal and external changes. Su Chunyuan, founder of Guanyuan data, pointed out in his speech at the main venue, "in the face of the impact of the complex and changeable domestic and foreign economic situation on various industries and markets, every organization and individual needs to make agile decisions, and enterprises need to build agile management capabilities to empower organizations and individuals to grasp the growth of certainty in the uncertainty of change."

The essence of agile management is the continuous feedback and iteration between "strategy" and "action", that is, agile decision-making, but many enterprises often get into misunderstanding here. Su Chunyuan summed up five common traps:

✦ Trap 1: the strategic inertia of past success has become the natural enemy of today's Agile.

✦ Trap 2: a few people make decisions at the top, more people get lost in gunfire

✦ Trap 3: optimize local goals, lack of global thinking

✦ Trap 4: focus on outcome indicators, lack of process indicators and action feedback

✦ Trap 5: qualitative and quantitative opposition, lack of scientific methods of hypothesis and testing

How to deal with these traps? Su Chunyuan shared a survey by Gartner, an authoritative consultancy, that 50 per cent of the boards surveyed wanted to increase data-driven decision-making in terms of capacity building for corporate data analysis. CEO regarded data and analytical capabilities as the primary capability to drive corporate growth in the next two years, and believed that AI would have the greatest impact on its industry in the next three years. With regard to the data analysis capabilities of business teams, 67 per cent of chief executives surveyed said they wanted more technical work to be done directly within business functions rather than in the IT area. In addition, 73 per cent of CEOs surveyed said managers outside the IT department wanted to add more technicians to their teams immediately or in the near future. These findings point to the first ability that enterprises need to have to make agile decisions on the ground-- "data analysis carries the responsibility of supporting enterprise agile decisions, and enables business teams that hear gunfire to make good decisions with data."

The development of Guanyuan data is also the way to practice data-driven agile decision-making. In the formulation of strategy, Guanyuan data focuses on the first nature of enterprise management from the overall perspective, and clearly aims to give priority to profit growth and efficiency improvement. In the tactical advance, Guanyuan data starts from the really important Polaris indicators, disassembles and identifies the crux of the key business, and then dives deep into the specific business scenarios to refine the granularity needed for decision-making and clarify the key process indicators. guide the formulation of implementation strategies and the landing of actions. In the whole process, the insight of continuous business problems guided by data analysis, verification of solutions, trial and error, and iteration are the key to the final landing of strategy, tactics and implementation.

Not only the self-development of Guanyuan data, the agile decision-making practice driven by data, but also to start a prairie fire, it has landed among the 600 + Fortune 500 enterprises and advanced brand customers in various industries. In her speech, Su Chunyuan shared three benchmarking examples:

In the practice of ✦ and a certain Internet pan-agricultural platform, it helps enterprises to realize index disassembly and data decision-making from CEO to the first line, so that enterprises can have an overall grasp of enterprise finance, business data indicators and overall operating status from whole to part, understand the core indicators, key business activities and data changes of each business system, and determine the focus of enterprise management. Then through the data to timely understand the completion of the goal, sort out the relationship and differences between various business systems, achieve index classification, post to people, rational allocation of resources, optimize team configuration, and promote fine management.

In the practice of ✦ and a head drink brand, the cooperation builds a closed loop of data iteration and action from 12 months to 52 weeks and 365 days, so that a wide range of business teams can constantly gain insight into business problems from the data and find potential solutions. In the next shortest cycle, agile verification, trial and error, and iteration with action are used.

In the practice of ✦ and a joint-stock bank, the cooperation has promoted the distributed decision-making practice of more than 10,000 people from the head office to the branch. It solves the problems that when the head office gives the enterprise list to the branch to expand the agency business in the traditional decision-making mode of the bank, the pertinence is weak, the information is not comprehensive enough, and the expansion KPI achieves and the process is untraceable. Set up the agile decision-making model of scene-oriented enterprise list, multi-dimensional enterprise portraits and systematic KPI monitoring. Help the bank to identify 4000 million customers to be converted, and help a number of new enterprises to expand. The platform covers the management of the branch to the front line, with an average of 2000 visits per month. Through the cooperation of data analysis and operation support, three influence layers are established to promote the BI construction and self-help analysis of 44 branches, so that the bank can achieve agile decisions with goals, strategies and monitoring from the head office to the branches.

In 2023, the seventh anniversary of Guanyuan data, Guanyuan data continues to evolve on the road of helping more enterprises to achieve data-driven agile management. Su Chunyuan said in the sharing that on the occasion of its seventh anniversary, Guanyuan data implements and adheres to the mission of "making business use to make decisions smarter" and the vision of "becoming a global leader in intelligent decision-making." at the same time, we will promote the renovation and evolution of enterprise capabilities in many ways to help more enterprise customers enjoy the value of data.

✦ in the construction of agile organizations, Guanyuan data to refresh corporate values, to further shape agile organizations, in order to gather endogenous power, achieve customer value, and promote their own growth.

On the service system that helps the agile operation of enterprises, ✦ publishes enterprise-level BI to build 6S model, which refines the six construction stages of enterprise data analysis capability, including diagnostic consultation, ability training, operation center, data competition, industry honor, G-Community, etc., to help enterprise data analysis improve steadily.

✦ in enabling agile product capabilities, Guanyuan data continues to agile iteration, the release of one-stop intelligent analysis platform 6.0, can support 100 times the agile decision-making of business users. At the same time, innovation integrates ChatGPT capabilities, which greatly reduces the threshold of intelligent data analysis and decision-making for enterprises, and makes the organization more agile.

"in uncertain times, it is all the more necessary to act firmly in a definite direction." At the end of his speech, Su Chunyuan said that the future-oriented, data-driven agile management capability is the core competitiveness that enterprises urgently need to build in the new cycle, and it is also the most critical ability for enterprises to grasp the certainty of growth in the midst of numerous changes.

Future-oriented hybrid data analysis requirements

Guanyuan data one-stop Intelligent Analysis platform 6.0 released

"the pain point of digital transformation lies not only in the inability to reshape business processes, but also in the fact that the underlying engine capabilities are scattered in various systems, unable to form new business applications that reasonably support the construction of data-driven applications." At the product conference of the main forum of the summit, CTO Zhang Jin, co-founder of Guanyuan data, quoted this view in the "Research report on the Development trend of Enterprise Digital Transformation Technology in 2023" and explained to the guests and customers the reasons for Guanyuan data release one-stop intelligent analysis platform.

Zhang Jin said at the product launch that companies cannot make agile decisions through fragmented products. Agile business decision-making must rely on an one-stop BI platform for integration requirements. In the new trend of one-stop BI made in China, Guanyuan data has been in a leading position from technical architecture to data infrastructure and product experience:

✦ technology architecture: cloud native, big data, distributed solutions; enterprise-level centralized lake warehouse base deep integration; distributed computing and storage support billion-level data ad hoc query and analysis capabilities.

The bottom layer of ✦ data: the BI platform has its own data storage mode, which is oriented to the digital future of enterprise development, and changes from data warehouse to lake warehouse to realize the ability to store unknown data in a unified way and then explore flexibly.

✦ product experience: comprehensive coverage of various requirements of report + visual Kanban + self-help fetch + AI; organic combination of drag-and-drop low threshold design and IT efficient management and operation and maintenance.

The product matrix of Guanyuan data one-stop intelligent analysis platform consists of four parts: BI Core, BI Plus, BI Management and BI Copilot: BI Core focuses on end-to-end ease of use, BI Plus solves specific business scenarios for business, BI Management creates an enterprise-level platform that can ensure secure and stable large-scale applications, and BI Copilot maintains innovation to inject vitality into BI applications.

Guanyuan data one-stop intelligent analysis platform 6.0 enables four key new functions of enterprise agile decision-making, which were also released at the meeting:

✦ real-time data Pro: a data set high-frequency incremental update scheduler that supports real-time data fusion processing. The Micro-Batch computing engine optimizes the support of real-time analysis scenarios and supports event-timing-driven workflow scheduling to provide users with a real-time data processing experience with higher performance, extremely fast response and stable support for high concurrency.

✦ Chinese-style report Pro: highly compatible with Excel users already have operation habits, even business personnel who can only use Excel can achieve independent development and maintenance of Chinese-style reports with low threshold, high efficiency and ease. At the same time, it can agile realize offline Excel reports online, and has the capabilities of intelligent data preparation, authority management, chart fusion presentation and linkage drilling of BI, as well as one-stop full-chain capabilities such as data exchange, analysis and exchange, collaboration and early warning, to further improve the flexibility and availability of the business.

The fusion of ✦ BI Copilot:BI and large language model reshapes the full link of data analysis, further reducing the application threshold of data analysis. Based on BI Copilot's Chat- series of applications, users can automatically build ETL through multiple conversations, create Kanban and customize report styles in minutes, ask questions about data and gain in-depth insights.

✦ Intelligent Insight: an intelligent application service and enterprise wisdom decision base built in depth for the purpose of reducing the cost of data understanding and improving decision efficiency. Transform the analysis ideas of business experts into a flexible and configurable "intelligent decision tree", automatically traverse multiple dimensions and levels, and analyze business congestion points, pain points and causes. Finally, combined with the ability of data visualization, the conclusion report which is easy for management to interpret directly is output. It also supports the perfect integration of AI operators and industry templates to improve the level of data analysis and the quality of decision-making.

At the same time, Guanyuan data one-stop intelligent analysis platform 6.0 further empowers producers from business, leverages 100x data consumers with 10x production capacity, allows business users to make agile decisions, upgrades and optimizes four key functions of modern BI platform:

✦ lake warehouse integration upgrade: several warehouses directly connected to ETL data processing. Reverse ETL is supported, and data writeback helps enterprises to integrate BI data with upstream and downstream business systems, and helps to complete a variety of closed-loop digital operation scenarios.

✦ end-to-end report experience optimization: support online access to Flying Book spreadsheets. Has a rich form of expression, support dynamic fields, data interpretation, primary and secondary indicators, fast conditional format and so on. Improve the efficiency of report development, support data format, header format batch editing and so on.

✦ application market upgrade: summarize the practical experience of industry leaders, be equipped with rich industry scene themes, and add new core scenarios, plug and play. Various materials such as scene packages and visual styles improve the efficiency of BI development.

✦ visual analysis and optimization: added default interaction options, taking into account both ease of use and complex interaction scenarios. Indicator cards, text cards, etc., support more visual presentation elements. Subscription early warning supports conditional distribution and supports richer forms of distribution. The interactive performance of knowledge feedback is optimized, and the visual analysis experience is greatly improved.

The release of new functions and the upgrade and optimization of key functions of Guanyuan data one-stop intelligent analysis platform focus on the data warehouse, report, analysis and AI capability requirements of BI tools for enabling agile operation, helping enterprises to achieve more intelligent decisions in a more efficient, lower threshold and more agile way, and to drive "self-organizing emergence" with higher frequency, wider range and more effective business decisions. Let the data create more and more value for the enterprise.

Pass on the power of mathematical growth

"make Business useful" Best practice "Spark Award" announced

The spark of agile management is burning in various industries with the potential of starting a prairie fire. In Guanyuan data service enterprises, many advanced enterprises have set up a benchmark for data-driven innovative operation and business improvement and efficiency with the best practice of "making business useful". In order to recognize these advanced practitioners who lead the transformation of the modern BI industry, and to transfer data-driven agile management capabilities to more industry explorers, Guanyuan data, together with billion Euro think tanks, initiated the selection of "make Business use" Best practice "Spark Award". Taking the enterprise's pioneering and innovation, data application and promotion, industry demonstration and other dimensions as the core criteria, select the enterprises with excellent performance in the data drive construction. With its best practice cases leading the industry, it provides practical and useful reference and help for more enterprises to build digital and data-driven agile management capabilities.

At the main venue of the summit, Su Chunyuan, founder of Guanyuan data & CEO, together with Wang Hui, executive general manager and deputy dean of Yiou think tank, unveiled the list of winners of the first Spark Award and presented trophies to the winners. Procter & Gamble China, McDonald's China, Budweiser Asia Pacific, Naxue Tea, Ningbo Bank, Bank of Beijing, Vitasoy, Shandai Wine, Unilever, Star charging, Sihe Technology, a total of 11 advanced enterprises with the best practices of leading the industry, become this year's "Spark Award" award-winning enterprises. Its leading practical experience guides the direction for the development of mathematical intelligence of more enterprises in the industry.

Guanyuan data expects that the benchmark demonstration of these advanced industries will illuminate more enterprises to explore the path suitable for their own digital intelligence construction, and help more enterprises to realize data-driven agile management more quickly. work together towards a new future of sustainable growth.

There are frequent golden sentences in sharing practice.

Wonderful sharing of insights into Agile Business value

From the main venue of "Agile to the Future" in the morning to the three major topics of retail consumption, analysis and practice in the afternoon, 20 + important guests brought brilliant speeches to the 500 + offline audience and 50000 + online audience.

Karwell, head of Business Intelligence and data value, P & G China

At the main venue of "Agile to the Future", Wang Yajun, author of "Enterprise is algorithm" and former chief strategy officer of Longhu Group, Karwell, head of business intelligence and data value in Procter & Gamble China, and Li Panpan, head of BI team of Zero Motor, were invited to share their understanding of data-driven agile management value, thinking and practice of enterprise digital intelligence construction, and experience in modern BI construction.

Wang Yajun, author of "Enterprise is algorithm" and former chief strategy officer of Longhu Group

Wang Yajun pointed out in the sharing, "from the first-person perspective, the main line of management is decision-making and collaboration, continue to create knowledge and practice. Enterprise is algorithmic thinking, agile organization + digital co-performance, is the way to grow in the VUCA world."

Li Panpan, head of Zero Automobile BI team.

Li Panpan shared the practice of modern BI construction of zero-running cars and Guanyuan data. She said that "at first, BI was introduced as a self-help tool to solve the contradiction between 'continuous business needs and limited IT resources', but now BI has become our hexagonal weapon, and self-help analysis capability is only one side of the hexagon."

Unilever supply chain Director Huan Tingting

At the retail consumption sub-venue, guests of the world's top 500 enterprises and industry leaders, such as Unilever, Scheduler Wine, Budweiser Asia Pacific, and Nixue Tea, were invited to share the digital construction experience of retail consumer enterprises. Unilever supply chain Director Huan Tingting shared the "Fast Replenishment decision value chain under the AI enabling Brand DTC scenario" to achieve efficient series and execution between Unilever departments from end to end, effectively reduce warehouse inventory pressure, and enable the digital supply chain to reduce costs and increase efficiency.

Cheng Xuanhao, head of big data team in wine industry.

Cheng Xuanhao, head of the big data team of the wine industry, pointed out when sharing the numbers that he was willing to practice agile management: "the digital transformation of FMCG should pay attention to three major directions: first, we should focus on competition and keep a close eye on competitors; second, we should start from driving business growth and enjoy digital dividends; third, with consumers as the core, we should delay strategic capabilities and achieve multiplier growth."

Pan Wei, Director of Logistics support for Budweiser Asia Pacific

Pan Xi, director of Budweiser Asia Pacific Logistics support, said in the sharing, "the technological transformation of Budweiser supply chain aims at digitization, intelligence and automation, and permeates the process and links the business with the application product layer of software and hardware. On the basis of application collaboration, the data integration layer is used to break through the data isolated island, and each layer of business is fed back based on the concept of visualization, analysis and action to form a self-driven business iterative closed loop. As one of the core chain owners of the industry, Budweiser's concept is to drive the upgrading of the industry driven by technical capability. Budweiser's transformation is still on its way to integrate upstream and downstream and reengineer the value chain. "

Luo Xin, director of Nai Xue's tea big data.

When sharing the digital intelligence value of tea enterprises, Luo Xin, director of big data, Nai Xue, shared his views on the future BI: "the future BI should be deeply bound to the business, and empower the business decision-making process to improve the efficiency of business operations."

The champion of CDO of Sihe Science and Technology

Liu Xiaoguang, a digital consulting partner of KPMG China, Wang Huan, head of Anxin Securities data platform, and Wang Champion, CDO of Sihe Technology, were invited to give speeches at the open sharing session.

Liu Xiaoguang, digital consulting partner of KPMG China

From the perspective of authoritative institutions, Liu Xiaoguang shared the industry digital organization, mechanism, and talent practice, and put forward that "industry digital transformation is a top-down strategic proposition and systems engineering, from high-level vision and staff slogans to pragmatic landing and value timeliness. We need the 'productivity' of business, data, and technology, as well as the 'production relations' of organizations, mechanisms, and talents."

Wang Huan, head of Anxin Securities data platform

Wang Huan deeply shared the practice of data empowering employees of securities firms and said, "Securities firms have a wide variety of business, a large number of systems and data have been accumulated in the process of information construction, and chimney construction and data isolated islands are common. How to efficiently integrate, process and serve employees is a highly challenging task. In the stage of digital transformation into the deep water area, data should empower not only customers but also employees to complete the transformation from empirical operation to data-driven operation. "

Sun Yan, vice president of Guanyuan data

In the sub-session of analysis and practice, Sun Yan, vice president of Guanyuan data, opened the new perspective of BI and put forward that "Agile analysis is not a tool, but the organizational ability of an enterprise. Only when enterprises perceive and deliberately develop this organizational capability earlier, can their business and data get more long-term development."

Long Fei, Director of data Analysis of Vitasoy

Long Fei, director of data analysis at Vitasoy, proposed that the data should be seen and touched. "users with different roles have different data needs, and they insist on thinking and innovating from their point of view," he said. "making data visible and tangible is a necessary condition for realizing data value."

Zhang Zhiwei, head of Ji Family Pet Information Technology Center

Zhang Zhiwei, director of the Jijia Pet Information Technology Center, said in the sharing of enterprise data analysis methodology and practice, "the focus of data analysis is not to draw conclusions, but to take actions. The value of data lies not in its size, but in its insight."

Round-table discussion: how to expand the influence of data within an enterprise

In the round-table discussion session of "how to expand the influence of data in the enterprise", Fan Xiaogui, head of Procter & Gamble China BI products, Pan Wei, director of Star charging data Center, Dong Hao, head of Gejia Pet data Analysis Department, and Yu Haojie, head of Kaisheng Haofeng digital technology, all expressed wonderful views. Yu Haojie pointed out in the exchange, "the focus of digital transformation is to see which is the most important link according to the enterprise business chain, and secondly, we can also see which area of data is not clear and timely." then the field is in urgent need of digital transformation. in addition, we should pay attention to the ease of use, because digital management is transparent and dehumanizing, and we need to pay more attention to human feelings. "

Promote the reform and innovation of the industry

The 2023 Agile Management Guide for Chinese Retail and Consumer Enterprises was launched.

The retail consumption industry has been standing at the forefront of digital change, and it is one of the industries most affected by digital technological innovation. With the upgrading of the consumer demand side, the retail consumer industry ushered in a new industry change, and the data-driven agile management capacity of retail consumer enterprises to build demand, so it is more urgent than other industries.

In order to help retail consumer enterprises to build agile management ability digitally, Guanyuan data, together with Yiou think tank, compiled the 2023 Agile Management Guide for Chinese Retail consumption Enterprises (hereinafter referred to as "Guide"). The Guide focuses on the new changes in the development of the consumer industry, summarizes the new challenges and needs faced by retail consumer enterprises of different sizes in the new cycle, provides methodological guidance and practical reference for retail consumer enterprises to build agile management capabilities based on digitalization, and looks forward to the new trend in the future.

Guanyuan data 2023 Intelligent decision Summit and Product Conference Retail consumption Sub-meeting, "2023 Agile Management Guide for Chinese Retail Consumer Enterprises" was officially released. Wang Hui, executive general manager of Yiou and deputy dean of the think tank, made an in-depth interpretation of the Guide at the meeting, in order to make retail consumer enterprises more clear about the key and value of building data-driven agile management capabilities. Wang Hui said in the interpretation, "Agile management is the key for enterprises to maintain competitiveness, which means that enterprises can improve quality and efficiency of decision-making based on data-driven on the basis of collaborative upgrading of supply-side business links."

The 2023 Agile Business Guide for Chinese Retail and Consumer Enterprises will be available to the public after the meeting. Please follow the official open download information of Guanyuan data.

Agile to the future

Seize new opportunities and win-win new development

In the complex and changeable VUCA era, enterprises are faced with many uncertainties and challenges. Data-driven agile management capability will become the key ability for enterprises in various industries to better understand and deal with uncertainties and risks and seize deterministic growth opportunities. Guanyuan data will lead the industry with modern BI products and solutions to help more enterprise customers release data value, achieve agile decision-making, and promote sustainable business growth and high-quality development.

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