Since the "14th Five-Year Plan" included "accelerating digital development and building a digital China" as a separate article, the importance of digital transformation has been clarified from the national strategic level, and top-level design and supporting policies to support the development of the digital economy at the national level have been introduced one after another. On March 1, 2023, the Central Committee of the Communist Party of China and the State Council issued the "Overall Layout Plan for the Construction of Digital China", which clarified that the construction of Digital China will be laid out in accordance with the overall framework of "2522", that is, to consolidate the "two foundations" of digital infrastructure and data resource system ", promote the deep integration of digital technology and the construction of "five in one" of economy, politics, culture, society and ecological civilization, strengthen the "two major capabilities" of digital technology innovation system and digital security barrier, and optimize the "two environments" of digital development at home and abroad . As a tool for transforming data into information and knowledge solutions, business intelligence (BI) can form data applications guided by industry needs in the integration of the "five-in-one" construction of digital China, and play a role in the following aspects:
01
Policies and the market promote the continuous acceleration of digital transformation, and enterprises face the dual dilemma of digital construction and tool use
At present, both the market results under the guidance of macro policies and the specific practice of enterprises at the micro level all show that the digitalization process is irreversible and will continue to accelerate.
From the perspective of macro policy analysis, "digital economy" has been included in the government work report six times since 2017, from the "14th Five-Year" Digital Economy Development Plan in 2022 to this year's "Overall Layout Plan for Digital China Construction" ", the high level of attention at the national level fully demonstrates the important position of the digital economy in national economic and social development. Driven by policy and technological development, my country's digital economy has reached a new level. From 2012 to 2021, the scale of my country's digital economy has grown from 11 trillion yuan to over 45 trillion yuan, and the proportion of the digital economy in GDP has increased from 21.6% to 39.8%. The scale of industrial digitization reached 37.18 trillion yuan, accounting for 32.5% of the digital economy. The dominant position of industrial digitalization in the digital economy continues to be consolidated, and it is the main engine for the growth of the digital economy.
From the microscopic analysis of enterprise transformation practice, the core process of digitalization starts from the introduction of digital tools to realize data online and automation, to the construction of data application to optimize the operation and management process, and finally fully relies on data-driven decision-making to reshape the enterprise business and organization from bottom to top , Management methods. At the current stage, enterprises are focusing on abstracting business through online systems, moving processes from offline to online, from manual or semi-automated to automated, reducing costs and improving efficiency in operational management. At present, in representative industries such as industry, finance, education, energy, etc., the internal digitalization of the top 20% of leading enterprises has gradually matured. They have ERP, WMS and other systems, and have entered the relatively automated and online business, and can do some preliminary, Based on unified data planning and analysis at the group level; and the other 80% is based on business changes, building a corresponding information system to achieve online business.
Under the wave of digital transformation, in order to continue to give full play to the value of data, no matter 20% of the cutting-edge or 80% of the enterprises in the process, they still face bottlenecks in system construction and digital tool use, which are specifically manifested in:
First, the construction of enterprise information systems does not match the actual business development. Due to the lack of a unified digital construction and business development plan, it is often difficult for the system to match the real business development. The fundamental reason is that data application and business are not efficiently combined, resulting in incomplete, inaccurate, and untimely feedback of data results, which hinders enterprises from knowing their own operations in a timely manner;
Second, enterprises’ input and output of digital tools are lower than expected. In large central state-owned enterprises, managers attach great importance to digital construction and have invested a lot of financial and human resources in data governance and procurement of digital tools. However, due to the lack of practical experience and talents, how to solve problems through data has become another problem, which has led to the fact that the output benefits of digital tools in business are far less than expected.
Faced with the above difficulties, enterprises urgently need to build a complete and unified data online system and integrate it with business processes. At the same time, find suitable digital tools, optimize operation and management methods, and generate expected data value.
02
Visible data value, business intelligence drives data online to improve data decision-making
Aiming at the problems in digital construction and tool use, the flexible data connection, analysis and application capabilities of business intelligence can just solve the above problems: First, through unified data integration management, open up the internal data islands of the enterprise, and realize the integrity and integrity of online data. Unified, and agilely reflect the business operation status; the second is to use data warehouse, data visualization and analysis technology to transform data into information and knowledge, meet the needs of different roles of enterprises for data query, analysis and exploration, and establish a data-driven The operation and management mode of decision-making can effectively generate commercial value.
It is worth mentioning that, driven by market demand, business intelligence has gradually evolved from a single analysis and visualization tool to a complete solution that includes data preparation, data processing, data analysis and visualization, and flexibly combines multiple upper-level data applications. Solutions, some platforms even incorporate the ability to build workflows or applications with low-code/no-code, opening up the full link from production to consumption of data.
For business intelligence, to enable users to really use it, to enhance human wisdom through digitalization, and to generate considerable value and utility requires:
- In terms of function, it meets the needs of application data of various roles in the enterprise. Although the needs of different enterprises are different, business intelligence products must at least provide basic functions including data preparation, data processing, analysis and visualization. In addition, business intelligence must be able to combine business scenarios or decision-making processes to provide contextual insights.
- In terms of performance, it runs stably in an enterprise big data environment. Under the large amount of data, business intelligence tools must be able to provide high-performance and highly reliable data services, including fast data retrieval, fast analysis response, stable operation and less frequent downtime.
- Simple and easy to use. For tool users, efficient use of data to solve business problems is the core appeal. Therefore, users do not want tools to invest too much in learning and using costs. On the other hand, the interactive experience of business personnel is also one of the criteria for measuring ease of use. Tools need to be matched with suitable scenarios and usage methods to effectively release wisdom and productivity.
In addition to product capabilities, enterprises also rely heavily on the support of manufacturers in localization and comprehensive strength:
- In key industries and large state-owned enterprises, localization is a hard threshold. Under the relevant policies of the national credit creation, key industries such as the party and government, finance, telecommunications, transportation, education, and large central state-owned enterprises all have requirements for independent and controllable technology of manufacturers. Moreover, the tool must be compatible with the localization environment, adapt to the corresponding hardware and software, and ensure smooth replacement.
- The comprehensive strength of the manufacturer guarantees the success of the project. In terms of solutions, the company will consider the manufacturer's practical experience and industry know-how to ensure the success of the project. In terms of services, enterprises will consider manufacturers' technical support and problem-solving mechanisms to reduce operation and maintenance management costs as much as possible.
03
One-stop data application, new possibilities for scene implementation
As mentioned above, the choice of a manufacturer needs to consider factors such as product capabilities, localization, and the comprehensive strength of the manufacturer. At present, in the field of business intelligence in China, domestic manufacturers have already competed for top players that can meet market demand. It is reported that Fanruan has already had specific implementation cases in the integration of business intelligence and low-code/zero-code platforms. The parent company of a well-known functional beverage has cooperated with Fanruan as early as 2018 to promote the group's digital transformation from local to global.
With the help of Fanruan's zero-code application building platform - Jiandaoyun, the FMCG group first completed data collection and management, including attendance, purchase, sales and inventory management, historical data, daily/weekly reports, cargo flow query and SFA data analysis. Relevant modules, including processes, are streamlined, standardized, and visualized. Subsequently, the group used Fanruan BI products to build fixed display reports for multiple departments such as finance, marketing, personnel, marketing, production, etc., and realized the establishment of a multi-level report analysis system from headquarters-theater area-business unit-office, and completed the decision-making data change.
At present, Fanruan products have covered all levels of the FMCG Group from top to bottom. Managers can gain insights into business problems in a timely manner through reports, use data to drive management decisions, prevent and control risks, and manage employee performance. Over 7,000 business personnel can real-time Check the completion status of your own work, initiate the process in a timely manner, and online cargo flow management, with more than 10,000 monthly active users.
As a representative manufacturer of business intelligence, we can see:
Fanruan products are fully functional, stable and easy to use. Fanruan's one-stop business intelligence solution can provide a variety of tool combinations for different roles within the enterprise:
FineDataLink, an enterprise-level one-stop data integration platform, can synchronize heterogeneous data in real time and offline from OA, ERP, MES, CRM and other business systems, and can independently support business data collection and processing, complete the construction of data warehouses, and cooperate with data center The platform performs ETL and ELT processing, and performs zero-code API data sharing to flexibly meet the needs of upper-layer applications. FineDataLink can connect to two core BI products, FineBI and FineReport respectively, to realize self-service big data analysis and enterprise-level web reports, and build a data visualization large screen FVS on top of it.
- FineReport is an enterprise-level web reporting tool for IT departments. Simple drag-and-drop operations can create complex Chinese-style reports, and easily realize various display, interactive analysis, data entry, authority management, timing scheduling, printout, portal management and mobile reports. application needs.
- FineBI is a self-service data analysis tool for business departments. Users only need to drag and drop in the dashboard panel to create a variety of data visualization information, and can perform data drilling, linkage and filtering operations.
- The 3D large screen editor FVS supports functions such as real-time data update, 3D model import, and one-click generation of 3D scenes. Put it on large screens, such as LED/LCD large screens in exhibition halls, monitoring intelligence centers, group conference centers, production workshops and other places.
In addition to data analysis and display capabilities, FineDataLink can connect to the zero-code platform Jiandao Cloud to realize application construction, and provides modules such as forms, processes, analysis dashboards, and knowledge bases for all employees of the enterprise. Administrators can build business management applications that meet their needs without coding. In addition, with the help of the Shuzhiniao requirements management tool, business and IT personnel can also perform requirements management, feedback and index management.
Secondly, Fanruan has the ability of localization compatibility and adaptation. As the only business intelligence manufacturer that has passed the full-stack Xinchuang adaptation verification, Fanruan has done a lot of work in terms of compatibility with the localization environment and completion of software and hardware adaptation. At present, Fanruan has cooperated with Zhaoxin (X86), Huawei Yunkunpengyun (ARM) and other domestic chips; , NTU General and other domestic database adaptation. In 2022, Fanruan has realized the adaptation of the functions, performance, compatibility and reliability of the three software with a total of 548 function points and use cases. In addition, Fanruan has also optimized the stability and performance of the technology for different domestic chips, browsers, and middleware, eliminating possible problems or abnormal stability during the migration process, and ensuring that product push, early warning, and monitoring are as stable as ever reliable.
Finally, Fanruan has comprehensive strengths in services and solutions:
- In terms of services, Fanruan provides a complete service chain including project deployment services, technical support services, research institute consulting services, and user ecosystems. Fanruan's localized vertical services can help customers in different cities, regions, and industries find best practices and solve customer problems in a timely manner.
- In terms of solutions, Fanruan has accumulated rich practical experience and benchmark customer cases, has a relatively thorough understanding and thinking about industry characteristics, can accurately locate business problems and prescribe the right medicine, and therefore can also bring benefits beyond the tool itself in specific businesses value.
In general, Fanruan's one-stop data application solution has opened up the entire link of enterprise data analysis applications, and has the ability to combine low-code/zero-code solutions with complete business intelligence. At the same time, relying on high-quality localization, service and solution capabilities, it will help enterprises in their digital transformation for a long time.
04
Improving business value and user experience is the main goal of the tool, and talents and ideas are also the driving force for transformation
Low-code/zero-code platforms provide the ability to automate workflows and applications, so that users are not limited to reports or dashboards to obtain information, allowing business intelligence to focus more on decision-making processes and business value to obtain more contextual insights. For users, this is closer to the actual application scenario; for enterprises, it can effectively match business management goals.
Looking forward to the future, whether at the macro level of Digital China or the micro level of enterprise digital transformation, business intelligence will develop iteratively around enterprise data assets to achieve greater business value and be more agile and easy to use:
- From the demand side, enterprises pay more attention to the actual input-output ratio of tools. Users will trigger data application innovations around actual scenarios, and find clear opportunities that can create value for investment;
- From the supply side, manufacturers are exploring ways to use tools more quickly and easily. In the era of intelligence, the combination of BI and AI technology has become a trend, providing users with more in-depth analysis results more conveniently.
For enterprises, although tools are an indispensable driving force for digital transformation, they are also inseparable from the wisdom of users, as well as the bottom-up awareness of data use, digital management atmosphere and organizational culture. First of all, talents are the core resource for mastering digital technology. If the best tools are limited by the lack of management wisdom, it is easy to cause the dilemma of not being able to use the tools or not using them well. Therefore, enterprises need interdisciplinary talents who understand business and have certain technical reserves to make targeted optimization suggestions. In addition, the essence of digital transformation is a fundamental change from management and decision-making thinking. Therefore, the digital strategy needs to be directly linked to the management committee of the enterprise, establish the data awareness of the enterprise from the source, and rely on data to carry out a series of top-level strategic design and business dismantling. action.