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title: page18-data-analysis
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Data Analysis & Visualization — B2B Channel Digitalization
Data Analysis
Data Analysis & Visualization
Full-chain integration from data collection, cleansing, computation, analysis to visualization — supporting insights and decisions
📊
Section Guide
In this section you will learn:
01Multi-source data foundation: business databases, all-terminal data, historical & third-party data
02Real-time dashboards + historical data mining for operational decisions and insights
03Data visualization + custom reports enabling data-driven precision operations
📊
Multi-Source Data Foundation
Integrate business databases, all-terminal data, historical data, and third-party data into a unified analysis platform
Data Integration
Integrate data sources across channels and terminals, unify data standards, build a tag system — providing a reliable foundation for precision marketing, analytics, and executive dashboards.
Business Database
Orders, customers, products, transactions — core business data.
All-Terminal Data
PC, mobile, and multi-device behavioral and operational data.
Historical Data
Long-term business trends for trend and cycle analysis.
Third-Party Data
External platform and market data for richer business context.
Six Analysis Dimensions
Covering growth, transactions, products, customers, sales reps, and marketing — forming the core observation lens for enterprise operations.
01
Traffic
Growth trends / Entry analysis / Heatmaps
02
Transactions
Order frequency / AOV / Conversion
03
Products
Top sellers / Click ranking / Product mix
04
Customers
Customer tiers / Repeat purchase / Tags
05
Sales Reps
Performance / Contribution / Efficiency
06
Marketing
Campaign results / Collections / ROI
Data Analysis Workflow
Collection
Ingest business databases, terminal behavior, historical, and third-party data.
Storage
Unified analysis foundation with structured, manageable data assets.
Cleansing
Standardize metrics, clean dirty data, ensure data quality.
Computation
Execute metric calculation, tag building, aggregation, and model output.
Visualization
Present via reports, charts, dashboards, and multi-terminal displays.
Analysis Highlights
Unified Standards
Eliminate data ambiguity, ensure cross-channel consistency.
Tag System
Digitize business features for precision marketing and insights.
Custom Analysis
Drag-and-drop self-service development with multi-dimensional analysis.
App Monitoring
Combine analysis with monitoring to observe system and business performance.
Executive Dashboard
Quick grasp of core business KPIs via data dashboards.
Multi-Terminal
Deliver analysis and reports across PC, mobile, and more.
📈
Typical Reports & Visualization
From daily overviews to revenue, collections, budgets, and product clicks — supporting decisions across roles
Daily Overview
Quick view of daily business status for management.
Revenue Analysis
Observe revenue scale, trends, and contribution structure.
Monthly Revenue Mix
Break down revenue by channel, customer, and product.
Collection Analysis
Track order collection speed and quality from a financial perspective.
Budget Tracking
Compare target vs actual to aid operational rhythm management.
Product Click Ranking
Identify hot products, potential hits, and content performance gaps.
Conclusion
Making data integration truly serve business decisions
The core of data analysis is not just creating reports — it's unifying multi-source data, structuring business features, and delivering insights to different roles to support growth, marketing, products, transactions, and management decisions.
6
Dimensions
5
Steps
Multi
Terminals
Index
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中文