How to learn financial data analysis and what are the good tools

Graduates majoring in financial accounting and auditing have broad employment prospects, and are engaged in accounting, auditing, and financial management in enterprises and institutions in all walks of life, such as finance, finance, taxation, economy and trade. Such as: insurance statisticians, auditors, bank inspectors, revenue administrators, budget control analysts, certified public accountants, financial executives, professors, public accountants, brokers, system analysts, tax experts, treasurers, trust accountants, insurers, departments, banking and financial departments, industry, six accounting firms, consulting firms, non-profit organizations, departments, claims coordinators, customer loan officers, cost accountants, credit and finance specialists, accountants.

I have been engaged in financial work for many years, and the writing of monthly and annual financial analysis reports is a daily job, and the most used tool is excel charts.

To write a good financial analysis, I think there are two things to do well:

Financial data must be integrated with the business, so that financial analysis can be viable; To translate professional financial data into an easy-to-understand level, that is, de-professionalization, it is best to translate it into a visual chart. In short, it is important for non-financial professionals to be able to quickly understand the results of your analysis, and to have strong visibility.

Below, a few examples can be given:

Shows the overall financial situation.

Commonly used histograms.

Commonly used pie charts.

After doing the static analysis of the whole body, it is necessary to do dynamic analysis and dynamic analysis, and then the strip removal diagram is used.

At the same time, the combination of line chart and bar chart can conduct a comprehensive and in-depth analysis of business conditions.

Trend line of annual fund receipts and expenditures.

Combine line charts with bar charts to reflect both static and dynamic analysis

Combine the folded line chart with the bar chart.

If you have a certain level of excel, you can also do dynamic charts that can be changed.

For example, multivariate sensitivity analysis, i.e., the impact of multiple variable factors on the final outcome at the same time.

Changes in construction costs.

As shown in the figure above, Jane Hunger Sui clicks the arrow in **, and each cost can be increased or decreased according to your requirements.

And this ** change, which is linked to another table, is the histogram that presents the final result.

You move the arrows of the first diagram casually, and the columns in the second diagram will change.

In this way, when you report to work, the boss can specify the change range of costs and expenses, and you can get the final result at that time, and it is presented in the simplest visual histogram.

Hope it helps.

Financial data analysis refers to the analysis of the solvency, operating ability, profitability and intrinsic value of the enterprise, and comprehensively describes the financial status, operating results and cash flow of the enterprise's production and operation, or finds out the existing problems.

There are three main methods of financial data analysis:

1. Comparative analysis method: refers to the analysis method that compares the actual financial data with specific standards to analyze and judge the current financial situation and investment and financial performance.

2. Ratio analysis method: It refers to the analysis method that uses the ratio of the two related values in the financial statements to reveal the financial status and operating results of Qisong Liquid, and determines the degree of change in financial activities by calculating various ratio indicators.

3. Trend analysis method: refers to the analysis method that determines the direction, amount and magnitude of the increase and decrease by comparing the same indicators in two or consecutive financial reports.

The analysis of political data is an important basis for improving the concept of fiscal macroeconomic management, strengthening the financial management system, enhancing the financial operation mechanism, innovating the standardization of the financial system, and realizing the construction of financial reform. In the era of rapid development of modern data management technology, financial data analysis is the key element of finance to achieve this goal, safely, accurately and timely grasp all kinds of data and internal relationships, and fully tap the potential value of data, is the only way for financial management to move towards a scientific and refined road. Fiscal data is not only the embodiment of the distribution structure of fiscal expenditure, but also an important basis for first-level investment projects and people's livelihood investment decisions.

In financial management, financial data analysis is the foundation, which is related to whether financial management can be carried out smoothly.

To conduct financial analysis, an enterprise needs to analyze the solvency, operating ability, profitability and intrinsic value of the enterprise, comprehensively describe the financial status, operating results and cash flow of the enterprise's production and operation, evaluate the solvency, profitability and ability to resist risks, or find out the existing problems. Enterprises can conduct financial analysis through three basic methods: comparative analysis, ratio analysis and trend analysis, which are as follows:

1. Comparative analysis.

Comparative analysis is an analysis method that compares the actual financial data with specific standards to analyze and judge the current financial situation and investment and financial performance of an individual or family. Comparative analysis methods include horizontal analysis and longitudinal comparative analysis.

2. Ratio analysis method.

Using the ratio of two related values in the financial statements to reveal the financial position and operating results of a company is a method of determining the degree of change in financial activities by calculating various ratio indicators. There are three main types of ratio indicators: component ratio, efficiency ratio and related ratio.

3. Trend analysis method: by comparing the same indicators in two or consecutive financial reports, determine the direction, amount and magnitude of their increase and decrease.

<> "Hello friends, you can do a good job in financial data analysis through the following aspects: 1. Determine the goal: Before conducting financial data analysis, you need to clarify the main purpose and problems of the analysis.

For example, identifying core business metrics, budget planning, cost control, and analyzing product costs, to name a few. 2. Collect data: Before conducting financial data analysis, it is necessary to collect sufficient data.

Usually, this data can be obtained from the company's internal financial statements, such as income statements, cash flow statements, and balance sheets. In addition, it can also collect external relevant data, such as industry data, market environment information, changes in economic indicators, etc. 3. Organize and process data

Once the data is collected, it needs to be cleaned and organized to eliminate unnecessary data and outliers. In addition, according to the goal of the analysis, the data needs to be rearranged and processed, such as dimensionality reduction and transformation. 4. Conduct data exploration and analysis

Once the data has been cleaned and organized, the next step is to explore and analyze the data. Statistical analysis methods, machine learning algorithms and other methods can be used to mine the relationships and laws behind the data, so as to further understand the business status of the enterprise. 5. Make visual reports and charts

Visualizing the results of the analysis into charts or reports can provide a more visual representation of the analysis results, making it easier for other team members to understand and apply the data results. 6. Conclusion and Judgment Theory and Suggestions: Finally, according to the analysis results, the conclusions and suggestions are obtained, and they are used in decision-making and actual operation, and the analysis methods are constantly adjusted to optimize the decision-making process of the enterprise.

Summary. Hello dear, happy to answer your <>

To do a good job in financial data analysis, you need to master the following aspects:1To be familiar with financial accounting knowledge and indicators, in order to conduct financial data analysis, you first need to have a certain understanding and proficiency in financial accounting knowledge and indicators.

Familiar with accounting statements, financial indicators, accounting standards and other knowledge can help analysts have a comprehensive and in-depth understanding of the financial data of the enterprise and avoid some misunderstandings in data analysis. 2.Determine the objective and scope of analysis, financial data analysis cannot be carried out blindly, and the objective and scope of analysis need to be clarified first.

For example, to analyze financial performance, cost control, profit fluctuations, etc., you can set relevant indicators and standards for each goal. At the same time, determine the time range, data type, and data magnitude of the analysis to ensure the validity and comparability of the data.

How to do a good job of financial data analysis.

Hello dear, happy to answer your <>

To do a good job in financial data analysis, you need to master the following aspects:1To be familiar with financial accounting knowledge and indicators, in order to conduct financial data analysis, you first need to have a certain understanding and proficiency in financial accounting knowledge and indicators.

Familiar with accounting statements, financial indicators, accounting standards and other sensitive knowledge, can help analysts have a comprehensive and in-depth understanding of the financial data of enterprises, and avoid some misunderstandings in data analysis. 2.Determine the objective and scope of analysis, financial data analysis cannot be carried out blindly, and the objective and scope of analysis need to be clarified first.

For example, to analyze financial performance, cost control, profit fluctuations, etc., you can set relevant indicators and standards for each goal. At the same time, the time range, data type, and data magnitude of the analysis are determined to ensure the validity and comparability of the data.

Kiss, there is, 3After collecting the company's financial data, it is necessary to carry out data cleaning and integration to ensure the accuracy and completeness of the data and eliminate useless data and duplicate data. At the same time, multiple data sources can be merged to improve the efficiency of data analysis.

4.Use data analysis tools for analysis, modern recommended tools are Tableau, SQL, Power BI, etc. Data analysis tools generally have functions such as data visualization, statistical analysis, interactive query, and automatic analysis, which can help analysts better explore the laws and trends behind the data, and conduct model training and analysis according to actual needs.

5.Generate analysis reports and solutions, and after the data analysis is completed, you can generate corresponding analysis reports and solutions according to your needs to provide valuable management information. Such analytical reports and solutions can facilitate effective decision-making and realize business value for business decision-makers.

In short, to become an excellent financial data analyst requires a deep understanding of financial knowledge, familiarity with the use of data analysis tools, mastery of data visualization, and communication and expression skills, in order to play a better role in the sustainable development of the company. <>

The process of doing a good job of financial data analysis is as follows:

2.Data cleaning: Data cleaning refers to the filtering, deduplication, and formatting of data to ensure the accuracy and consistency of data.

3.Analyze data: Use data analysis tools, such as BI, EXCEL, SPSS, R, etc., to analyze the data, find out the patterns and trends in the data, and draw conclusions.

4.Establish a model family quietly: According to the analysis results, establish corresponding models, such as ** model, cost model, risk model, etc., in order to better manage and control the financial status of the enterprise.

5.Make recommendations: Based on the results of the model, make corresponding recommendations, such as reducing costs, increasing sales, optimizing processes, etc., to achieve the financial goals of the enterprise.

Commonly used methods of financial statement analysis

1. Vertical analysis.

It is mainly to analyze the proportion between the whole and the parts, and the proportion of a certain item in the overall report item is also called structural analysis.

2. Horizontal analysis.

It is mainly a horizontal analysis of the items with the largest change rate in the report, comparing the data of each item in the financial statement with the data of the previous period, and analyzing the changes in the financial data of the enterprise.

The comparison carried out by horizontal analysis is generally not only a comparison of one or two items, but a comprehensive comparative analysis of all items in the reporting period of the financial statements and the previous period, revealing the problems existing in all aspects, and laying the foundation for further comprehensive and in-depth analysis of the financial situation of the enterprise, so the horizontal analysis method is the basic method of accounting analysis.

3. Trend analysis.

Trend analysis is a kind of long-term analysis, which calculates the fixed-base index of one or more items compared with the base period of the data of multiple consecutive reporting periods, or the month-on-month index compared with the previous period, to form an exponential time series, so as to analyze the historical long-term change trend of this report item, and as one of the bases for the long-term development trend in the future.

The trend analysis method can be used not only for the overall analysis of accounting statements, that is, to study the change trend of each item in the statement for a certain period, but also for the analysis of the development trend of some major financial indicators.

4. Ratio analysis.

The relative ratio obtained by dividing the data of the two financial statements analyzes the correlation between the two items. Financial ratios are generally divided into four categories: profitability ratio, operating ability ratio, solvency ratio, and growth ability ratio.

5. Factor analysis.

Also known as the chain substitution method, it is used to calculate the degree of influence of several interrelated drivers on comprehensive financial indicators. For example, sales revenue depends on two factors: sales volume and unit price, and the company's price increase often leads to a decline in sales.

6. Comparative analysis.

It includes two aspects, one is the analysis of internal indicator data of the enterprise, such as sales; The second is to conduct comparative analysis with the most important competitors, including competitiveness, financial ability, etc.