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Consolidate your Tables

If you operate multiple store fronts or in multiple markets, you may have similar databases stored separately. In ÃÛ¶¹ÊÓƵ Commerce Intelligence, it is easy to consolidate similar tables from different databases together.

For example, you may have an orders table for Market A, and a similar orders table for Market B. Commerce Intelligence can consolidate both tables and allow you to look at the aggregate order data from both Market A and B, in addition to segmenting it by specific market.

For consolidation of tables to work, input tables must be similarly structured. In other words, all input tables must contain the data columns required in the consolidated table.

This topic discusses some of the most common use cases for consolidated tables and the next steps required for creating your own.

Recommendations for When to Use Consolidated Tables

The following discusses when it might be appropriate to use consolidated tables in your system.

Integrating Data from Multiple Websites

If you sell your products under different brands and websites, it is likely that the tables for each brand or website are similarly structured.

For example, you may have an orders table for website A and a separate, but similar, orders table for website B. In this situation, it may be useful to consolidate the orders tables from website A and B. This lets you look at the consolidated revenue and number of orders from website A and B, in addition to be able to segment metrics by these two websites.

Integrating Legacy Data

Many companies have refactored their databases at one time or another, and the data from the old database does not always get converted over to the new system. You can use consolidated tables to join the key columns from legacy tables with those from the active system. This allows you to conduct a unified analysis of your data throughout history.

Combining Events for Active User Analysis

Imagine a website where users can do several things: take a survey, play a game, make a purchase, refer a friend, and so on. Typically, each of these events is stored in its own table. This makes it difficult to conduct an analysis of how many distinct users took at least one action of any kind in a given time period.

You can use consolidated tables to create one unified list of all users and when any of these events took place. You can then run queries on the consolidated table to easily conduct such an analysis.

As with all other tables in your Data Warehouse, you can add additional columns to power different kinds of charts and analyses.

Creating, Viewing, or Updating a Consolidated Table

If you are interested in adding a consolidated table to your Data Warehouse, contact Commerce Intelligence support.