Analysis Topic module of BI decision system for large apparel Group

General BI Business intelligence solutions include financial, sales, Customer Analysis module, this article is sharing a large clothing group through the sail soft finebi construction of BI decision-making system. The decision-making system is mainly aimed at finance, capital, purchasing, production, inventory, logistics, sales, channels, products, customers and other themes and different perspectives and dimensions, with simple, intuitive analysis of graphics, focus on the display and management of key KPI indicators and value chain indicators, for commodities, suppliers, markets, customers, store management, etc. to provide decision support, Assist various departments to conduct business analysis. The formation of human, financial, material, production, supply and marketing of integrated data decision-making support.

I. Financial Analysis

Provide multidimensional analysis and data drilling of financial management statements such as balance sheet, profit statement, cash flow statement, fund statement, expense report, receivable statement, etc.

Clearly demonstrate the profitability of the enterprise, asset structure and capital operation capacity.

Through the decomposition of the ratio and the value of each layer, it is clear to locate the products or regions that lead to the fluctuation of profit, the abnormal department of expense growth, the customers with long-term ledger of receivables and other business information.

Provide valuable data support for multiple decision making in the enterprise

1,Financial Ratios analysis

Profitability Analysis: Sales profit margin, cost profit margin, asset return rate, operating cash flow and profit ratio, etc.

Ability to transport capacity analysis: Accounts receivable turnover, liquidity turnover, etc.

Solvency Analysis: Liquidity ratio, cash ratio, asset-liability ratio, operating activity cash flow and debt ratio, etc.

Growth Capacity Analysis: Net profit growth rate, fixed asset growth rate, capital preservation growth rate, total asset growth rate.

2,Comparative analysis

Compare the financial situation with the historical situation, the industry development and the business situation in a vertical and horizontal comparison, and compare with the financial budget

3,Structural analysis

such as Accounts receivable aging analysis, asset structure, debt structure, capital inflow, capital outflow structure analysis, financing structure, etc., will help to understand the financial situation more deeply.

4. Budget Control Analysis

The financial budget management is based on the current company's expenses and the financial budget established at the beginning of the year, the timely understanding of the financial situation, to achieve the purpose of cost control.

To achieve the following query / report / Statistical analysis: Market Budget Cost use progress statistics, market cost input analysis table.

Second, sales Analysis

The sales and sales of apparel products to achieve analysis, the formation of sales rankings. Sales success rate and sales progress analysis, to each potential customer to do a comprehensive presentation. Customized Sales Assessment KPI indicators, for each salesperson to rule, quantitative assessment. can provide such as customer unit price, customer orders, VIP consumption, store analysis indicators and other industry-specific models.

1, TargetReach Rate Analysis

Provide data drilling from nationwide to store, analyze weekly/monthly/yearly completion rate according to Time dimension, monitor performance status in real time, and provide analysis, horizontal and vertical comparison data.

2. Key Indicators

L Total Daily Sales Amount

L Total daily Sales (frequency of sales)

L Daily Stock Quantity (single, total)

L ratio of inventory to sales

L single-paragraph sales period (total sales frequency)

L Sales size ratio (single, total)

L style category ratio (tops, trousers, skirts, suits)

L Model Large-scale proportion

L Seasonal Color Sales life cycle

L Week, month, quarter, year analysis

3,Market Analysis

Market analysis includes the following analysis indicators

L Average Purchase Amount: The ratio of net sales to the total number of trades for a given period of time. Managers use the average purchase amount to select new products and analyze customers ' propensity to consume.

L Trade Growth rate: The difference between the number of trades in this period (year, quarter, month) and prior (year, quarter, month) divided by the number of trades in the previous (year, quarter, month)

L Customer Growth rate: The difference between the number of customers in this period (year, quarter, month) and prior (year, quarter, month)

L Customer Average consumption amount

Net sales divided by total number of customers: This ratio reflects the number of new customers required to implement the sales growth plan

L Average Marketing return: Comparison of average marketing costs and net sales

L Customer Satisfaction Degree

4, Sales Situation analysis

From the perspective of sales in different dimensions and levels (including regions, stores, joint ventures, direct, commodity categories, categories, small categories, time, etc.) to provide timely and effective statistical analysis of statistical reports and illustrations, to help sales and commodity Management department users to master the changes in the sales business and trends, so as to timely make accurate and effective business and management decisions.

The main categories include: Category Sales analysis, regional distribution analysis, profit contribution analysis, etc.

Three, the analysis of invoicing

The overall process of apparel distribution

1. Management Features

• Short-term, seasonal, fast-changing market

L High risk of predicting high inventory of production

• Variable Production planning

• Complex management of product diversity

L Complex Business Management

2,The need for data analysis

L Understand market demand

L Targeted delivery of goods

l facilitate the active transfer of goods

L Forecast Market demand

L Calculate Safety Stock

L Pre-chase order replenishment

3, Key indicators

L Inventory out-of-stock rate: The current period (year, quarter, month) the ratio of out of stock

L ratio of market prices to supplier prices

L ratio of inventory to sales cost

L average number of days remaining in stock

L Estimated Inventory Balance

L ratio of Sales to inventory: measures the number of stocks required to support a given level of sales

L ratio of inventory to working capital: Average inventory value vs. Average Working capital (net current assets)

L Inventory turnover

L Inventory quantity and cost

L Stocking Time

L Accounts payable turnover rate

L ratio of expenditures to accounts payable: Determines the payment of accounts payable within a given time

L Outstanding Purchase days: measure the ability to meet Trade Commission on time

Iv. Supply Chain Analysis

Provide multi-dimensional analysis and data drilling for the procurement, sales, warehousing and other aspects of the enterprise;

Procurement, including purchase price analysis, purchase cost analysis, procurement on-time delivery rate analysis and procurement of the acquisition rate analysis, etc.;

Sales, including sales growth rate analysis, customer growth rate analysis, sales orders and on-time delivery rate analysis, sales gross profit analysis, camp collection statistics analysis;

Warehousing, including inventory turnover rate analysis, inventory ABC Analysis, inventory aging analysis, the existing inventory report, inventory flow value analysis, inventory turnover rate, sluggish inventory analysis.

V. Production Planning

Objective: To make production schedule control and make production plan according to order quantity.

Vi. Category Analysis 1, new product tracking analysis

2, single product sales analysis

3. Product Analysis

Weekly commodity analysis, monthly commodity analysis at the beginning of the month, and on the basis of product analysis to develop future sales strategy.

Commodity analysis mainly analyzes the goods, including the style, series, positioning, category, production and sales rate, inventory and other problems at different stages.

Data analysis and sales services are inseparable, shops and warehouses for the analysis and management of goods, understand the status of the goods and the existing problems, take reasonable measures, can effectively improve the turnover speed of goods and improve the production and sales rate, optimize the structure of the store's goods, improve the sale performance.

Vii. Channels and terminals

The analysis of the data of the distribution links can help to understand the specific reasons of the sales performance, and to solve the specific problems effectively.

1,Channel analysis

Charts Support Data drillthrough

Agent Target Assessment

2,Terminal level

This link directly to the consumer, the entire sales system has its important position, the results from here, the problem arises from here.

Stock data, sales data, inventory data and other basic data collection is the basis for data analysis, store sales daily is an important basis for terminal analysis.

According to the performance of the day, the data report is realized.

Main analysis indicators

L daily/weekly/Monthly Sales report

L Joint Rate

L Guest Unit Price

L per capita sales amount

L Sales Gross profit per capita

L Discount Analysis

L Single Product analysis

L Indicators of the year, the chain, trend analysis

L turnover

L Slow Analysis

L Analysis of sales joint rate

3. Store Analysis

The main object of application is the Regional Account manager, which contributes to product sales and KPI assessment of different stores.

Comprehensive Display board

Store Day Sales Analysis

Performance Kanban

Analysis of Store contribution

Analysis Topic module of BI decision system for large apparel Group