With quality data you can measure relevancy, analyze effectiveness, optimize strategies and maximize revenues and ROIs. Get to know what is data verification and what are the data quality best practices.

1. Don’t Let
BAD DATA BITE into
BUSINESS BOTTOM LINES
Keep it Clean
Keep it Green
Keep Your Data Verified
Spend Marketing Dollars on
Customers that Count!
© 2012 Info Checkpoint, Inc. All rights reserved.

2. Contents
1. Introduction 03
2. What is Data Verification? 04
3. Data Quality Best Practices 04
4. Think ‘High Volume’ Data Sources Are Clean, Think Again! 05
5. Conclusion 05
Before we begin,
Want to know why your emails are undelivered?
Have you found out how clean your data is?
Would you like to increase email ROI?
Find out whether your data and practices get you on the ‘white list’
Know if Your Data Stinks!
02 © 2012 Info Checkpoint, Inc. All rights reserved.

3. Introduction
In a year almost 25% of your data goes stale
And 10 to 25% of customer information is incorrect
According to Marketing Sherpa, an average of 2.1% of contact details change every
month!
Data is plays an integral role in key decision
making in any organization. With data almost Data managers
doubling every year, it is essential to ensure that popularly use the
quality is kept intact and accuracy is improved.
‘1-10-100’ rule:
B2B marketers need to realize that correcting
incorrect information is a costlier affair.
$1 to verify a contact as it is
entered.
Accurate and updated data is relevant across
organizations and industries, helping business $10 to clean existing data and
developers, sales professionals, marketers, manage duplicates.
market researchers and recruiters alike. Whether it $100 per record to correct, if you do
is required to find updated and targeted sales nothing to clean bad data.
leads, or to increase ROI from marketing
investments or to screen verified candidates while
headhunting, data is the core essence.
With defined strategies, planned processes and an
ongoing action plan, it is possible for organizations
to ensure data quality is constantly maintained.
One the most important data quality metrics is DATA VERIFICATION.
03 © 2012 Info Checkpoint, Inc. All rights reserved.

4. What is Data Verification?
Data verification is a process that ensures that data
is correct and error free. It is entirely factual and Be-Aware of ‘Bots’
does not focus on the significance of the result. This
is where data validation is important, which is a Today companies use tele-dialers or
process that ensures data is logical and reasonable. ‘bots’ to verify contacts in a database.
Verification is conducted to ensure data entered is At Info CheckPoint we have real
true to the original source. Some of the methods verification specialists ensuring data
used include:- quality through manual email and tele-
verification of individual contacts.
Proof Reading – data is checked by manually
comparing it with the original document. In that way
Your data verification,
Double Entry Checks – data is reentered and Your contacts,
the two copies are compared for Your results and
discrepancies. Other methods also include Your revenues are all real!
phone and email verification.
While manual methods may be time consuming and expensive, new software technologies have
been developed to automate the data verification process, proving to be cost effective as well as
faster.
Data Quality Best Practices
Verification is integral in maintaining data quality, accuracy, relevancy and currency. Data needs to be
collected, compiled, organized and maintained in a way that it provides insightful information. While
new processes and technologies have been developed to maintain ‘clean and green’ databases, a
simple method to begin with could be:
Formalize strategies – Companies need to define their objectives to ensure data
management is organized and databases built in direction with the company’s strategic goals.
Fine tune processes – To ensure strategies are implemented efficiently, processes need to
be streamlined. Creating a map is a great of identifying different stages of the data cleansing
process.
Focus on data integrity – Once data cleansing programs are in place, it is important to
integrate clean data with existing databases. To avoid clutter and muddling of old data, with
new data or bad data, it is important to ensure integration processes are tight.
04 © 2012 Info Checkpoint, Inc. All rights reserved.

5. Formulate an ongoing data cleansing program – Cleansing data once is not going to clean
new data that pours in on a daily basis. An ongoing program needs to be formulated to
maintain quality of new information being introduced.
Think ‘High Volume’ Data Sources Are Clean,
Think Again!
Online Data Sources – while using data collected from web forms, web registrations, lists,
spreadsheets and other online data collection tools; do not directly dump it into the database. More
often than not people do not enter information correctly online. Therefore this data needs to be
scrubbed cleaned of errors before contaminating an existing database.
Crowdsourcing - is a community driven concept wherein data is contributed by users. Various
groups and people provide information such as email addresses, phone numbers and social media
profiles. This source provides unlimited amount of data and information, making it possible build
databases that could effectively utilized.
However, crowd-sourced data has to be verified and validated before being added to the database.
Encourage users to update details to ensure data is as complete, correct and current.
Conclusion
While statistics indicate a high percentage of changes in data on a yearly basis, it also points to the
fact that either you have updated, current and accurate data or not have data at all. Consider this,
B2B databases decay around 30 percent every year that technically translates to a spending of a
third of annual sales and marketing budget on nothing but dead information!
While new age concepts of ‘Think Green’ and ‘Think Blue’ are focused on conserving and ‘cleaning’
the environment, a similar drive on the Internet needs to be explored to obliterate data dumps and
create a pollution free virtual space.
Data dumps need to be deleted, Data quality needs to be nurtured,
Data decay needs to be obliterated, For a cleaner, pollution free virtual environment!
Info CheckPoint provides clean and green databases. Our focus is on data quality, accuracy,
currency and relevancy. We believe in keeping our databases fresh to enable you target your
customers and prospective clients relevantly.
To clean data for a lifetime of valuable customers! Info CheckPoint
05 © 2012 Info Checkpoint, Inc. All rights reserved.

6. About Info CheckPoint
Info CheckPoint is a preferred provider of credible business to business (B2B) information, database
management and marketing solutions. We understand the value of driven, directed and dynamic
databases and therefore emphasize on high quality data which translate to invaluable information.
For us a database is a business intelligence tool.
Our advanced search application allows instant access and provides segmented data to facilitate
targeted communication significant in leveraging business growth. Through this interface you can
obtain information that is customized to business requirements and enables focus on primary target
markets appropriately.
At Info CheckPoint we adopt a scientifically based, technology driven and manually validated
comprehensive data verification process. Utilizing data quality tools, techniques and tactics, we
emphasize on maintaining data that is verified, validated, accurate, current, relevant and hygienic.
To gain access to power packed databases or for more information, please visit Info CheckPoint
Contact Information
800-662-2980
support@infocheckpoint.com
www.infocheckpoint.com
06 © 2012 Info Checkpoint, Inc. All rights reserved.