Cloud Business Intelligence; The financial work of an enterprise begins with data and ends with data. But finance is not just a porter of data, but an integrator and processor of data. As a core module, finance can directly reflect the operating status of an enterprise. In many large enterprises, the use of Business intelligence, through modeling, multi-view, big data analysis, etc. Analyzes financial data and business and combines internal and external business information to provide services for enterprise decision-making and strategic development and help enterprise managers make correct decisions efficiently.
Here are the articles to explain, Discussion on Cloud Business Intelligence and Enterprise Financial Analysis
Traditional business intelligence analysis software, such as SAP and IBM, cost hundreds of thousands of dollars. Many small and medium-sized enterprises cannot afford it. Such construction costs are due to the long construction period and the professional requirements of their personnel.
With the vigorous development of the Internet and cloud computing technology, to seize the market of small and medium-sized enterprises, various professional manufacturers have also introduced cloud business intelligence technology into the cloud platform and carried out enterprise financial analysis through low-cost cloud business intelligence. Furthermore, Businesses are becoming more and more attractive. The following content explains business intelligence; financial management; intelligent platforms below are;
The status quo of financial management of small and medium-sized enterprises
Financial analysis is an application of economics. It takes corporate financial indicators and other relevant data as the main research object. Through analysis and comparison, it completes the analysis and evaluation of corporate financial status, and truly reflects the pros and cons of the company in the process of operation, gains, and losses, and financial status. and development trends, providing important reference information for enterprise management and business decision-making through detailed analysis reports.
Through financial analysis, the managers of the enterprise can grasp the operating capacity, profitability, and cash flow status of the enterprise, reasonably evaluate the operating performance of the management team, reward the good and punish the bad, and promote the improvement of management level. The core purpose of financial analysis is to promote business operations, continuously tap potentials, expose contradictions from all aspects, find out gaps, fully understand unused human and material resources, and maximize corporate value.
Better understand
The management of the financial and accounting departments of small and medium-sized enterprises is mainly to fulfill tax reporting obligations, and measure and assess management accounting profits after financial accounting profits adjust. Financial management mainly aims at the basic accounting process of enterprises. Also, Small businesses generally use manual bookkeeping or use stand-alone financial software to realize electronic accounting. The accounting information systems of most small and medium-sized enterprises are mostly for accounting services.
The tools and methods used in financial management are only shallow descriptions of financial management data. While the financial data of enterprises contain a wealth of information. Only by in-depth mining and analysis of the data in the enterprise accounting information system can we discover the deep-seated problems hidden behind these data and provide feasible suggestions for enterprise management. On the implementation route of the traditional enterprise financial business intelligence system, more specialized analysis tools and relevant knowledge reserves require. Which poses great challenges and implementation difficulties for small and medium-sized enterprises.
Use cloud business intelligence technology for enterprise financial analysis
Cloud business intelligence
Cloud business intelligence analysis is a one-stop big data analysis platform built on the cloud. Also, It extracts data from various operating systems of the enterprise and uses the tools provided by the big data analysis platform to perform data cleaning, extraction, conversion, and loading. The processed data will It store uniformly in the data warehouse. And then the data in the data warehouse can effectively analyze by using data mining tools. Finally, the results were presented to the managers. It aims to help companies quickly process massive amounts of raw financial-related data and extract important financial information. To help companies analyze the problems behind the data, make optimal decisions, and help companies operate and develop.
Cloud business intelligence and enterprise financial analysis
Cloud business intelligence is a new generation of agile BI services based on the public cloud. Financial personnel can upload relevant financial data to the cloud business intelligence service purchased by the enterprise. Through the Internet, a set of data visualization analysis reports can launch in a few minutes. Also, Perform interactive analysis through drag-and-drop self-service operations, and quickly obtain analysis results.
In the formation of financial data analysis, without professional computer knowledge, ad hoc query and data report generation can complete through drag-and-drop operations. With the help of the existing templates and elements in the data display building. Interactive charts can make according to business needs, and the data results can display intuitively and vividly. When conducting financial analysis through the existing cloud business intelligence, it can provide the following services for enterprises.
Financial analysis.
Just connect the financial data of the enterprise to the cloud business intelligence platform, and use the ETL, data warehouse, data mining, and other tools provided by the cloud business intelligence, and the system will automatically process and organize the data, and conduct investment activities, business activities, etc. Conduct detailed analysis and comparison of behaviors, and extract useful information for use by business managers.
Financial projections.
Using related technologies in cloud business intelligence, based on existing financial data to predict the future operating conditions of enterprises, mainly including sales forecasts, profit forecasts, cost forecasts, financial indicators, etc., to judge the possibility of a financial crisis in the future.
Decision support.
Using the analysis tools provided by cloud business intelligence. Useful financial data can be extracted from massive original data sources. Through further data mining, detailed analysis reports will eventually be provided. Enterprise managers can conduct benchmarking analysis on relevant indicators and public data of competitors to find gaps and deficiencies. Which has never provided effective support for decision-making in later-stage financing, investment, inventory, and other business activities.
Prospects for Financial Analysis of Professional Cloud Business Intelligence
Domestic companies that provide cloud intelligence business, such as Tencent, Alibaba, etc., have a relatively low cost of cloud business intelligence analysis (such as the cloud business intelligence provided by Alibaba Cloud, the annual fee for the advanced version is about 38,000 yuan). But the application functions provided focus on General-purpose templates when enterprises need in-depth financial analysis. They also need professionals to develop functions. Which is difficult for financial managers of small and medium-sized enterprises.
Due to the rapid development of cloud business intelligence and its huge application prospects in the enterprise financial analysis market, traditional financial software providers such as Kingdee and UFIDA are also actively following up, and there will be more cloud intelligent business professional tools for financial analysis in the future Emerging in large numbers, it will focus on the following aspects.
Analysis of corporate financial reports.
Solidify the financial analysis model into an analysis tool, input the financial data of the enterprise into the system in a standard format through a unified data interface, and call the corresponding analysis model in the cloud business intelligence platform, and the system will automatically analyze the financial data of the enterprise according to the model processing and can issue detailed financial analysis reports.
Enterprise multidimensional data analysis.
By importing enterprise detailed report data from the outside or using the detailed report data stored in the data warehouse as the analysis object, combined with structural analysis, benchmarking analysis, trend analysis, and other methods, from the enterprise, year and month, actual number, budget or target value, etc. Conduct financial analysis on enterprises from multiple dimensions, and also quickly issue various forms of business analysis reports.
Business strategy analysis.
Combine risk analysis tools such as scenario analysis, probability, and statistical analysis. Furthermore, Using time value analysis models including the free cash flow discount model, EVA discount model, and dividend discount model, combined with comparable method valuation models, to provide enterprises with in-depth analysis reports for later stage investment and financing of enterprises, etc. A major business strategy has immeasurable value.
