|
|
|
|
|
Execution-MiH ENCYCLOPEDIA →
Enterprise Intelligence →
SECTION - Data Quality →
|
CHAPTER - Customer Data Quality for Customer Relationship Management
|
CRM is one of the most important customers of Data Quality. Organizations
have improved much more on transaction processing data quality in
comparison to Customer related data Quality. Let's look at Customer
Data quality issues, Customer data matching, de-duping, data augmentation
and enrichment.
|
|
| |
Topics
|
|
Customer Data Quality Impacts
|
Customer Data Quality Issues are partly due to internal gaps and partly due to extrinsic reasons mostly out of an organization's control.
|
| |
|
Customer Data Challenges
|
Customer Data Quality has additional set of challenges over and above the typical data quality issues.
|
| |
|
Customer Data Variations
|
There are unlimited variations in customer data and this sets the back-drop to the solutions for customer data quality
|
| |
|
Customer Data Searching and Matching
|
Before we fix or augment the data, its important to identify the bad data and also to assess on how bad it is. This topic lists out the methods for identifying the matching or duplicate reports.
|
| |
|
Customer Data Correction and Techniques
|
There are many data correction techniques, and their use depends on cost-benefit business case.
|
| |
|
Customer Data Augmentation and Enrichment
|
Customer data can be enriched by using internal heuristics as well as by gathering field data.
|
| |
|
|
|
|
|
All Chapters in "Data Quality." Section
|
|
|
|
| |
| |
| Back |
