Errors in b2b customer data can cause embarrassment to consumers and adversely affect your brand perception. Although errors in B2B data are unavoidable, it's best practice to maintain constant check on the burgeoning data.
Most common trait in b2b database is the prevalence of incomplete or inaccurate customer data. Erroneous data in your repository can result in lost sales opportunities and fudge the effectiveness of CRM initiatives.
Let's uncover the common errors in customer database.
Data Entry by Employees
Employees input errors to systems by mistake or intentionally to save time
- Misspellings
- Transposition of numbers/data
- Incorrect or missing codes
- Wrong data formats
- Data placed in the wrong fields
- Unrecognizable names
- Inconsistent use of nicknames
- Wrong use of abbreviations
Data Entry by Customers
Customers input details wrongly or in the wrong input column. Most often online users intentionally enter erroneous data to protect their privacy or add junk data.
External Data/ Data errors during data migration
Third party data often contain inconsistencies and errors. This can degrade the value of your in-house data and undermine the database values. Another entry point of wrong data is during data migration data error is when you're merging
How Data Check Central Can Help
With our proprietary data cleansing process, we can clean and matched your data with our large b2b database. We drill down our attention to each individual record and ensure that all fields contain consistent data. Our sophisticated match & cleanse technology use automated data cleansing process with manual check to ensure complete data cleaning. Apart from appending quality data, we also validate data to ensure 100% accuracy of appended records.
Strengthen your front-line data with Data Check Central's data matching services.
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