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Why Databases Fail
Why CRM Fail?
Reasons for Poor Quality Customer Data
and how to update with
Fresh Data
Data Check Central Inc.
Prepared by: Clive Thurston
What is Data Quality?
Data quality is summarized as the accuracy of particular piece of
data meeting the needs of the business.
Data Quality is when your data have the following attributes:
Clear meaning
Correct values
Understandable format
Principles of Data Quality
Confident data add value to your business. Information quality
assured provided is
Accurate (correct data)
Comprehensive (relevant for taking decision)
Valid (confirms to recognized format)
Timely (up to date)
Maintained(free from variation or contradiction)
Why is Data Quality Important?
Reliable, accurate and timely data is critical to the efficient
functioning of business operations and company's long-term
competitive advantage.
Maximizes productivity from CRM
Assists operational management and strategic planning
Expands customer base
Increased customer satisfaction
Ensures regulatory compliance
Common Sources of Data Errors
Data input errors by employees & customers
External Data - Third party sources
Data Migration or project conversion
Employees & Customers Input
Wrong data entered into the database either by mistake or by
intentional act
Misspellings / Transposed numbers
Purposeful misrepresentation of data
Data placed in the wrong fields
Incorrect or missing codes
Junk names or wrong domains
Abbreviations given to data
Erroneous data entered by customers to protect their privacy
External Data Inconsistencies
Incomplete - missing fields
Incorrect- Incorrect pairing of codes, wrong calculations
Incomprehensible- Weird formatting & wrong format
Inconsistent - Different codes with the same meaning, inconsistent names and addresses & inconsistent business rules
Data errors from Data migration/ Project conversion
Data Non-conformity -- Information stored in Non-standard format
Inconsistent Data -- Merging various system results in data inconsistencies and wrong data representation
Inaccurate Data -- Data deteriorates with time, this mounts errors during migration
Data Integrity -- Missing relationship can degrade the quality of data
Cost of poor data quality to your business?
Overlooked sales opportunities
Reduced employee productivity
Customer dissatisfaction
Unproductive results from CRM
Poor decision making faculty
Data Check Central Data solution
Check Check Central offers data solutions tailored to your business. We assess, improve, and ensure consistent data quality in your organization.
We offer four point program to assess and improve the quality of your customer/marketing data. Our process includes:
Data Appending
Data Cleansing & Improvement
Data Modeling
Data Migration and Integration
Benefits from Perfect Customer Data-
Eliminate unnecessary data records
Appends fresh data
Identifies and corrects inaccurate data
Reduces data input errors - Validate data at input
Eliminate false null values
Ensure data values stay as per business
Establish and apply data standards.
Finally use data to improve marketing ROI
Develop best customer profile
Develop up-sell and cross-sell opportunities
Develop multi-channel marketing - email, direct mail, phone calls, fax, etc.
Develop targeted customer communication
Data Check Central Inc
Data Management Solution
Thank you
Visit our blog :
http://datacheckcentral.blogspot.com/