Background

This company accumulated large amount of business data in the business system. With the rapid development of its business, it is becoming more and more difficult for the enterprise operators and decision makers to realize the comprehensive status and master the operating information of the whole corporation. We helped it to perform though analysis on their business data through our professional decision supporting solution and finally provided a comprehensive analysis report.

Solution

We provide the following analysis techniques.

Statistical Analysis

1. Several popular status quo analysis approaches, including 80/20 analysis, absolute value distribution analysis, rate analysis, variance analysis, intensity analysis, outlier analysis, etc.
2. Several popular development analysis approaches, including fixed base ratio analysis, ring ratio analysis, increasing rate analysis, on year-on-year basis ratio analysis, etc.
3. Several advanced statistical analysis approaches, including time series analysis, multi-regression, variance analysis, factor analysis, etc.
4. Several statistical graphs which can perform visual analysis on the statistical results

Data Mining

1. Association Rule Analysis, which helps to mine the shopping patterns and provide the association patterns for brands and classifications of merchandises.
2. Several experts scoring approaches, constructing integrated scoring contents of several KPIs, which are used by business analysis staffs, industrial analysis staffs and industrial experts.
3. Self-developed decision tree algorithm, which is used in precaution analysis, helping to mine the business rules hiding behind the precaution phenomenon and discover business opportunities and risks in advance.
4. Several trend analysis methods based on Time Series algorithms.
5. Clustering analysis and forecasting analysis of Neural Network.
6. Outlier analysis which helps to discover abnormal business activities.
   

Features

1. Commercial Analysis: Customer resource analysis which is related directly with daily retail business and internal affair and Commercial decision analysis which are critical to enterprise strategy decision.
• Customer behavior pattern analysis
• Customer royalty analysis
• Customer value analysis
• Customer lifetime value analysis
• Customer potential value analysis
• Customer cost analysis
• Customer product usage analysis
• Counter leasehold analysis
  
2. Business Analysis: Analysis of daily retail and wholesale business.
• Query and statistics
• Vendor analysis
• Sourcing trend analysis
• Product structure analysis
• Unsalable products analysis
• Salable products analysis
• Seasonal products analysis
• In stock value analysis
• In stock velocity analysis
  
3. Trade Analysis: Analysis of internal sourcing and storing.
• Trade multi-dimensional query
• Sales money analysis
• Sales amount analysis
• ABC classification table
• Profit analysis
• Logistic analysis
  
4. Affair Analysis: Analysis of internal daily official management affairs.
   • Query and statistics
   • Employee performance analysis
   • HR status analysis
   • Contract analysis
   • Attendance analysis
   • Fixed asset analysis

Assessment

Our decision supporting system not only helps the enterprise decision makers to get rid of the puzzle of large amount of data, but also helps them to predict the future direction and master the development rules of the corporation through our optimized algorithms, advanced program designing and flexible interface management.