Process: Evaluate sites business results
Flow
Objective
You can analyze operational and configuration data in WebSphere Commerce to identify trends problems and opportunities. This information can be used to adjust WebSphere Commerce settings to maximize the customer experience and to maximize the store's profit.
Description
WebSphere Commerce Analyzer reads the data from the Commerce database and manipulates it, using extract, transform and load (ETL) processes, into a new schema called a datamart. The datamart is optimized for analytics reporting. You can perform datamining on the data in the datamart.
Features
- Replication of key Commerce database tables
- Extract, transform and load (ETL) processes
- Datamining
Customization
The WebSphere Commerce Analyzer Technical Reference Guide explains how to add database modifications to the extract, transform and load (ETL) processes.
You can also create datamining algorithms (demographic clustering) to mine new data or existing data in different ways.
Edition
Professional, Enterprise
Subprocesses
Tasks
| Task | Description | Role |
|---|---|---|
| Review BI Report (external) |
Review the BI report to find areas of that you may want to modify/improve or maintain. You may want to change where you are focusing your marketing activities, change pricing and segmentations or introduce different sets of merchandise in your business depending on market demand/trends. |
Marketing Manager |
Business artifacts
- Customer segment data
- Datamart database
- Marketing BI reports
- Marketplace/Storefront BI reports
- Sales BI reports
- WebSphere Commerce database
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