data quality Designed to make AI better

There is no bigger success factor in AI execution than your data quality strategy and execution

The desire for structured data requires a solid foundation and there is no better base than a person’s residence.

You only have one primary residence, you likely to have 3 or more email addresses.

While most data quality solutions are built around an email address, a better approach is to use both email and a physical address.  Each approach has challenges but only one has a verifiable change order, that is governed by federal statue, and that’s NCOA. 

It’s been well documented and understood that success in AI requires a sound data quality strategy which is why we developed AI First Step.  A solution that’s built around people, the names they go by and the location they live.  An absolute necessity for cross-object and cross-org consistency across contacts accounts and opportunities.

Order of operation:
Start with the person
Maintain current physical address
Finish with email
CRM Manager​

Address Standarization and de-duplication

Without NCOA you may be standardizing old addresses ​

If you think address standardization or CASS (coding accuracy support system) is a big deal you’re right and most organizations already have something in place to perform this task.  It’s also a necessary step to match against the NCOA database.  Understanding the value difference between CASS and NCOA is vital.  CASS is only interested in a location and can provide an accurate delivery point; CASS also has no premise of people at those locations.  That’s why NCOA has greater value to organizations, which put the focus on the people in your database. 

Now consider what a duplicate is or could be.  It may or may not be an address, that depends on who lives there now.  It may not even be a name, an individual may have an alias like Michelle, for instance, but her friends call her Shelly and uses both conditionally.

NCOA4Salesforce takes these elements into consideration to ensure you get the most out of your AI data quality initiatives.  It makes zero sense to CASS an old address but people do it everyday.  While we need it to match the NCOA directory you receive back a standardized address for the new location, we’ll also use fuzzy logic to determine aliases.   

Features​
Current address Standarization
NCOA return
Fuzzy de-duping ​
The Cloud​

Continuous feedback loop

Keeping address data current is critical ​

The programmatic nature of NCOA4Salesfoce is critical in its mission. We recommend running NCOA every month as the postal directories are update regularly. As the system is run you will notice the moves that occur within that period.​

Features​
Run monthly​
Elimination of manual processes ​
task management system​
READY TO TAKE YOUR data strategy TO THE NEXT LEVEL? ​

The effectiveness of your data quality strategy isn’t just crucial for AI execution—it’s fundamental to the success of your entire business.”

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