Customer Data Integration (CDI)

Definition - What does Customer Data Integration (CDI) mean?

Customer data integration (CDI) is the process of collecting, organizing and distributing all available information about an organization’s customers. CDI aims to maximize the use of this information throughout the entire organization to increase customer numbers, customer satisfaction and corporate profits. CDI uses data integration techniques and is a critical component of customer relations management (CRM).

Techopedia explains Customer Data Integration (CDI)

Customer data integration may involve between six and 12 fields of data for every individual customer, such as name prefix, first name, last name, middle name or initial, name suffix, nickname, maiden name and professional or academic title.

Complicating the data management further, much of this data changes frequently and becomes obsolete. For example, customers may change their names, move, get divorced or die.

The value of the data is divided into five categories:

Completeness: Organizations may lack all the required data to make sound business decisions.
Latency: If data is not used quickly enough, it can become obsolete.
Accuracy
Management: Data integration, governance, stewardship, operations and distribution all combine to make or break the value of the data.
Ownership: The more dissimilar customers are, the more difficult it will be to use the data to make decisions.

Accurate and comprehensive customer data retrieved through CDI has many uses and applications. These include:

Providing raw data for various service providers
Optimizing product assortment, promotion, pricing and inventory rotation (merchandising)
Reducing waste
Choosing the best locations for branch offices or outlets
Supporting customer relationship management
Supporting master data management
Differentiating customers and their needs