Customer Data Management - Convert customer data into customer
intelligence
Customer data has become the central
focus for most of the organizations.
Poor customer Data
quality is an issue for customer
relationship management and marketing. Quality customer data is the
key for direct marketing and competitive advantage can be gained by
using these data better and more wisely. This is the process of
consolidating and managing customer information from all sources and
the goal is to achieve the true picture of the customer.
Customer data management process involves:
Data Profiling
:
Data is examined to know the structure, format and quality. Here
the standards are also set for the data capture.
Data Cleansing
:
In this process incorrect contact details are corrected and
duplicate records are removed
Data Classification
:
Customers are classified according to industry standards schemas
like SIC, NAICS or custom schema
Data Enrichment
:
This is the process of collecting and completing the incomplete
data. This data includes the details like the Revenue, Number of
employees, Credit rating, Web address, Email address and others.
Phone validation is done if required.
Key benefits:
Customer
evaluation and pre-qualify prospects
Increased ROI
Improved
customer service and increased response
Common
identifier for invoices, payments and shipping
Provide
better resources to best customers
Ensure
legal compliance
Improved
data quality, accuracy and eliminate duplication.
