Data Validation Services

Raise The Data Quality Bar and Enhance Brand Reliability

Push on your business efforts ambitiously and leave the standardization of data to us!

How We Validate Your Data

Statistics suggest that most of the organizations not using data validation experience a data entry error rate at 2% to 8%. We will keep a regular check on your databases for duplicated information, incorrect formats, and other errors. We assure intensive validation to decrease operational costs and protect brand reputation.

Who are the Best Lead Data Validation service providers in USA?

Every business is depends on prospect and customer relations to keep up their brand image and maintain the sales cycle. The process in DataCaptive is a multistage process which provides Real-Time Data Validation, Bulk Data Validation, and Multiple-Source Data Validation through the manual as well as automated procedures. Therefore we at DataCaptive don’t stress over unreliable and incorrect data anymore.

"Contact our multichannel DataCaptive networks to avail our expert Validation Service."

Growing Your Business is Easy

Data based prospecting for qualified Business Contacts and Leads

Find online Sales Prospects through Datacaptive's Segmented Email Databases to acquire the Best Sales Leads and convert them into Qualified Business Contacts.

How can a data validation service help businesses to find the right customers?

Data Validation Service – Improve the Integrity of Your Data

The collected data that have undergone the data validation process will have a degree of compliance to the applicable quality acceptance criteria. Data qualifiers (coded footnotes) will have to be assigned to determine the usability of the data. This will benefit the regulators, management, and all others who depend on the given data.

The class of the data can be determined by reviewing the critical data and the related analytical documentation and comparing it with the data quality requirements.

By judging the level of the data quality, the data can serve its intended purpose.

1. Invalid information has to be removed

Invalid information like web addresses, email addresses, postal codes and all other data will be traced and removed to make the databases error-free.

2. Duplicated data has to be deleted

Duplicated data has to be removed. Even one duplicated data will harm data validation process.

3. Identifying the missing information

Identifying missing information from huge databases will be much easier with DataCaptive’s state-of-the-art tools.

4. Remove typographic, grammatical and punctuation errors

Removing of typographic errors, punctuation errors, font case errors and general syntax errors that will enhance the value of your content.