With the development of artificial intelligence, cloud computing, big data, blockchain and other technologies, as well as various derived products, the speed of digital development has accelerated again, and the digital economy and digital transformation have received more attention and recognition.
In the context of the gradual slowdown of traditional economic growth and the increasingly fierce market competition, this is undoubtedly a shot in the arm for enterprises, and enterprises have once again gained the driving force for growth in the new era, and gradually began to focus on various new opportunities for enterprises to develop.
Many people may also wonder why data is so important, and can use various mechanisms for data, such as data governance, data standards, data management, and data sharing, which we will talk about next. On the one hand, data plays a huge role in the digital economy and digital transformation process, and can even be called the core of both, and on the other hand, enterprises in various fields have accumulated a large amount of data, which are potential data assets that can create more value for enterprises.
What is data sharing
In the digital era, data is an important element to drive business growth, and enterprises need to comprehensively plan data and promote business development through data integration and data visualization analysis. Therefore, enterprises need to let data circulate between different departments and different personnel to achieve data sharing, that is, to establish a data sharing mechanism.
Data sharing is an important part of enterprises to give full play to the value of data, and it is the key to breaking down data silos and realizing the overall planning of data. By establishing a sound data sharing, enterprises can make data flow better inside and outside the enterprise, maximize the value of data assets, and allow all departments and business lines to make use of them, avoiding duplicate data collection and incomplete analysis data.
Enterprise data sources and data boundaries
For example, the marketing department can use the data of the marketing, operation, and sales departments to obtain more data on industries, businesses, markets, and users. Through data sharing between various departments, the enterprise marketing department can establish a perfect user portrait, analyze the needs of the current market, judge the future development potential of the industry, and adjust the business direction in a targeted manner, so as to invest limited resources in more needed places and produce better results.
Paco Data Financial Sharing Analysis
Through the financial sharing model, the group company will concentrate the basic financial business originally scattered in each member unit to the financial sharing center for unified processing, and provide standardized, process-oriented, high-efficiency and low-cost services for the grassroots units distributed in different regions through the system, so as to improve accounting efficiency and data quality.
On this basis, in order to better enhance the value creation of financial data, Paike Data has built a data system for the integration of industry and finance through the collection and integration of multi-source systems, and stored the data scattered in various systems in a unified "data warehouse", unified data standards, realized data integration, and provided timely, accurate and comprehensive data analysis services for senior leaders and business departments of enterprises.
Example of Packo BI data sharing analysis
Example of Packo BI data sharing analysis
Example of Packo BI data sharing analysis
Example of Packo BI data sharing analysis
Paco Data starts from the following aspects to build a shared data analysis center for group enterprises:
1. Build a data application analysis platform, and obtain customized report reports, financial indicator benchmarking, business risk early warning and other information services in real time through the platform, so as to further help enterprises improve overall operational efficiency, promote cost reduction, improve financial digitalization, and promote financial transformation and upgrading.
2. Demand-oriented, effective-oriented, and technology-supported, provide customized data analysis services for enterprises, use professional advantages to tap the potential of financial data, actively explore the effective use of data value, and provide data support for financial transformation.
3. Meet the demands of data analysis services put forward by subordinate enterprises, solve the pain points such as long time consumption of enterprise management reports, difficulty in integrating business and financial data, large limitations of traditional financial analysis, difficulty in data value mining, and weak data visualization, and give full play to the role of financial sharing services in the financial transformation of enterprises.
Example of Packo BI data sharing analysis
The financial sharing data analysis of Paco Data involves taxes, statistics, sales, assets, and funds, including: shared financial management cockpit, shared performance analysis, revenue analysis, shared fund analysis, shared operation analysis, settlement management, bill management, financing management, position management, budget management, account management, document process analysis, etc.
Example of Packo BI data sharing analysis
With the help of the intelligent dashboard of financial shared operation data, Paco Data "quantitatively" analyzes the work of the sharing center, and formulates strategic measures to further improve the operational efficiency of the enterprise sharing center and reduce the operating costs of the enterprise by building an operation analysis system.
Paike Data one-stop enterprise-level BI visual analysis platform, "zero-code data warehouse" + "visual self-service analysis", provides enterprises with a one-stop data integration platform, data filling platform and data visualization analysis display platform, a large number of industries and financial supply chain and other general index system precipitation, welcome to consult and exchange, operation inquiry phone 17853181O52 (WeChat with the same number)!