0 1) classification analysis
For example, the brain drain rate is analyzed by different departments, different job levels and different age groups. For example, if you find that the turnover rate of a certain department is particularly high, then you can analyze it.
02) Matrix analysis
For example, if a company has an assessment of values and abilities, it can make a matrix diagram of the assessment results to find out the proportion of employees with strong value matching, employees with weak value matching and employees with weak value matching, so as to find out the health status of talents in the company.
03) Funnel analysis
For example, recording recruitment data, submitting resumes, passing the initial screening, passing through one side, two sides, passing through the last side, accepting the Offer, successfully joining the job, and passing the probation period is a complete recruitment funnel. From the data, we can see which link can be optimized.
04) Correlation analysis
For example, the brain drain rate of each branch of the company is quite different, so we can analyze the correlation between the brain drain rate of each branch and some characteristics of the branch (geographical location, salary level, welfare level, employee age, manager age, etc.). ) find the key factors that can best retain employees.
05) logical tree analysis
For example, if employee satisfaction is found to have declined recently, it will be dismantled. Satisfaction is related to salary, welfare, career development and working atmosphere, and then salary is divided into basic salary and bonus. In this way, it will be dismantled layer by layer to find out the changing factors in the influencing factors of satisfaction, so as to get insights.
06) Trend analysis
For example, the change trend of brain drain rate in the past 12 months.
07) Behavior trajectory analysis
For example, tracking the behavior track of a salesperson, from entry, to starting to produce performance, to rapid growth of performance, to fatigue period, to gradual stability.
By providing a one-stop big data analysis solution for enterprise business scenarios, it can bring value contributions to enterprises in four aspects: increasing revenue, reducing costs, improving efficiency and controlling costs.
1, the income is increasing.
The most intuitive application is to use data analysis to achieve digital precision marketing. Through in-depth analysis of users' purchasing behavior and consumption habits, we can portray users' portraits, turn the data analysis results into operational customer management strategies, reach more customers in the best way, and realize the growth of sales revenue.
The following figure shows the calculation and analysis of promotion revenue and expenditure, which provides decision-making basis for advertising.
The following figure shows the channel sales analysis, which provides data support for channel support.
2. Reduce costs
For example, financial and manpower management can be realized through data analysis, so as to control the expenditure of various costs and expenses and achieve the effect of reducing costs.
The following figure shows the production cost analysis to understand the cost composition.
The following figure shows the comparative analysis and cost control of pre-actual cost during the period.
Step 3 improve efficiency
Every enterprise will produce related reports. With the help of data analysis tools, business people who don't know technology can also realize agile self-help analysis through simple drag and drop, without the need for business people to make demands and IT people to make reports, which greatly improves the timeliness and efficiency of reports.
Through data analysis tools, it can be displayed on the PC side, and it also supports mobile kanban, which can see through the operation anytime and anywhere and improve the decision-making efficiency.
4. Control risks
Is the budget overspent? Is the debt overdue? Is it out of stock or out of stock? What is the customer's payment rate? Is the equipment running normally? Is it necessary to speed up the production of any product to achieve a balance between production and sales? ... in fact, almost every enterprise will encounter all kinds of risk problems. Through data analysis, it can help enterprises to monitor in real time, actively warn the parts that deviate from the budget and the values that deviate from the normal range, and reduce the risks of enterprises.
The figure below shows the tax rate indicators. When the comprehensive tax rate is too high, prompt and early warning can be realized.
The following figure shows the early warning of important indicators, focusing on monitoring the gross profit margin of the project.