I found that when introducing Finebi and FineReport to users, or in the process of users using them themselves, one of the most common questions is - "I found that Finebi and FineReport seem to be able to do both reports and data analysis, why do I need to do two products with the same functions?" So today, I will use an article to explain the most essential difference between finebi and finereport!
I'm not here to play dumb riddles with you, at the beginning of the article, I'll put the conclusion out first:
First of all, Finebi and FineReport, both of which can be used for reporting and data analysis, are indeed the same as everyone has experienced in the process of use.
But! Note this but, bothIt's just that the front-end display effect is the same, but the principle behind it is why you choose BI instead of FR, and why you choose FR instead of BI, but it's very different!
FineReport is a software that focuses on displaying complex reports and building an enterprise-level data platform, mainly solving the problems faced by users in the data presentation stage. It helps users present the report style they need and provides data so they can just show it.
Finebi focuses more on allowing business personnel with non-technical backgrounds to conduct self-service data analysis and complete the production and analysis of simple reports. It solves the problem that users don't know how to leverage a large amount of business data when faced with it. Finebi can generate presentations and metrics that inspire users to explore and analyze data.
Overall, FineReport and Finebi differ in their approach to solving user problems. FineReport focuses on solving the problem of data presentation stage, while Finebi focuses more on helping users to analyze and explore data independently.
Pay attention to Finesoft and continue to explain data analysis methods and enterprise digital transformation tools and solutions to you
In fact, the answer is very simple: domestic enterprises have a slow start in data construction, and there are differences in the degree of data infrastructure construction of different enterprises. As a result, the needs of enterprises at different stages for data tools will vary.
For enterprises that are in the initial stage of informatization construction and urgently need to digitize their business and break data silos, finereport is suitable for use. This tool can help enterprises display complex reports and build an enterprise-level data platform to solve the problems faced in the data presentation stage.
For enterprises that are currently in the stage of informatization to digitalization and need to operationalize data and realize the value of data, it is suitable to use finebi. This tool allows business personnel with non-technical backgrounds to conduct self-service data analysis, complete simple report creation and analysis, and generate display and indicator systems to help enterprises explore and analyze data, so as to realize the commercialization and value generation of data.
"Business dataization" and "breaking data silos" - finereport
For enterprises in the stage of informatization construction, it is important to sort out complex business processes first, and ensure that these processes can be standardized and recorded with data.
Specifically, enterprises can use various business systems such as OA, CRM, MES, ERP, etc., to record and manage procurement, production, sales, cash flow and other processes.
The benefit of this is that it can improve the efficiency and accuracy of business processes, while also laying a solid foundation for subsequent digital transformation. By standardizing business processes and documenting them with data, companies can better understand their operations and support future growth.
In this process, FR is very suitable for helping enterprises to do a good job in basic data construction and build a data decision-making platform, including but not limited to:
Physical data silos refer to data stored in different systems or databases, which are difficult to share and link. By using data integration technology, these disparate data sources can be integrated into a unified platform for data interoperability and sharing. Logical data silos refer to inconsistencies in data definitions, data formats, and data calibers between different departments or business processes. In order to solve this problem, the business process can be sorted out and optimized, and a unified data indicator system can be established.
In the traditional way of data analysis, enterprises need to query the database through SQL statements, and then import the data into Excel for production and analysis. However, this method has problems such as data accuracy, efficiency, and maintainability. Through FR, enterprises can directly connect to the database to realize the function of Excel-like tabulation, avoiding the problems of SQL data retrieval, Excel table making, and database changes that need to be manually changed repeatedly. FR supports the production of all kinds of Chinese-style complex reports, which can automate the fixed forms (such as **, monthly reports, etc.), and supports the production of visual large screens, which improves the efficiency and accuracy of data analysis and saves the labor cost of enterprises to make tables.
An end-to-end data system can be formed through FR, which provides functions such as data filling, data processing, data display, export and printing, etc., which can cover the entire life cycle of data. Enterprises can establish a complete data system to realize the end-to-end process from data collection to data display to data export. This will greatly improve the value and efficiency of data, and help enterprises better make decisions and manage operations.
Complex Reports:
Visualization screen:
"Digitalization", "data business" – finebi
After a period of informatization construction, the enterprise has accumulated a large amount of data, and the data has been initially classified, rather than scattered data.
At this time, enterprises are no longer satisfied with simply viewing data, but hope to use existing business data to explore new business opportunities and optimize business processes, and find a better business growth path from data. This is also where Finebi comes into play.
Finebi enables non-technical business personnel to perform self-service data analysis, complete simple report creation and analysis, and generate presentations and metrics. With FineBI, companies can better explore and analyze data, provide scientific support for business decisions, and achieve the initial stage of digital transformation.
Through the BI platform, the IT department can prepare the data and assign the corresponding permissions to each department. In this way, each business department can analyze data and make reports based on the data within its own authority, without relying on the intervention of the IT department. This method greatly improves the efficiency of data analysis and also frees up the human resources of the IT department. In addition, the BI platform also provides rich report permission management functions, and IT departments can set different data access and operation permissions for various departments or user groups as needed. This effectively controls the security of the data and ensures that sensitive data is not accessed by unauthorized persons.
Through the BI platform, business personnel can gain greater autonomy in analysis. They can freely choose the data metrics, dimensions, and time ranges that need to be analyzed according to their needs and interests, and generate personalized reports and charts. The BI platform usually presets some commonly used metric calculations and models, such as RFM and repurchase analysis, so that business personnel do not need to build analysis models from scratch and directly apply existing models for data analysis and decision-making. In addition, the BI platform also provides functions such as data interpretation and data early warning to help business personnel better understand data and grasp the trend of data. Data Interpretation can help business people quickly understand the meaning and context of the data, and avoid making wrong decisions due to misunderstanding the data. The data alert function can alert business personnel when data is abnormal or changed, helping them quickly respond and adjust business strategies.
1.All report pages created by FineReport can be mounted in Finebi for viewing and use
For the creation of report pages, users can use finereport to complete. It provides a wealth of report templates and components, which can be customized according to users' own needs, and complete the creation of reports through simple drag-and-drop operations. Whether it's a chart, a chart, or an interactive report, FineReport does the job with ease. This has already been explained above, so I won't go into too much detail here.
Once the report is created, users can mount these report pages to Finebi for viewing and use. Finebi is a comprehensive data analysis platform that supports the connection and import of multiple data sources, allowing data to be cleaned, integrated, and analyzed. The report page mounted in Finebi can directly obtain the latest data from the data source and display it in real time on the Finebi platform.
Finebi and FineReport products support converged deployment, all functions can be integrated and used in the same project, and the mobile terminal shares a data analysis app
Converged deployment is not limited to the PC side, but also includes the mobile side. Finebi and FineReport share a single data analytics app, allowing users to view and use report pages anytime, anywhere via their mobile devices. In this way, users can easily analyze data and manage reports when they are in the office or working on the go, and improve work efficiency.
In addition, converged deployments bring more convenience. Users can integrate the functions of finereport and finebi in the same project, without the need to switch software frequently, improving the smoothness and consistency of operation. At the same time, the converged deployment can also realize data sharing and interaction, and when data analysis is carried out on the Finebi platform, the report page in FineReport can be directly referenced to display and analyze the data more comprehensively.
So the above is the most essential difference between Finebi and FineReport that I want to explain to you today, they have their own characteristics and advantages in different aspects of data analysis. Whether you need comprehensive data analytics support or focus on reporting, you can choose the right tool for your needs. No matter which software you choose, you can effectively improve your decision-making capabilities and data management skills, and help you succeed in a highly competitive market.
Data analysis