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Deduplication

 
Truelty takes customer data and deduplicates it right on YOUR Snowflake instance. No more having to ship data to a 3rd party to deduplicate it.
 
Decoupled licensing from contact count allows you to affordably process customer records. This also means you can load as many data sources into Snowflake as you like, and Truelty can process them.
 
Truelty does not require a complex data custody transfer to process the records, as the data never leaves your Snowflake instance. Instead, Truelty generates the code to natively process deduplication, which is pushed to your Snowflake instance.
 

Truelty use cases:

Data onboarding

So you have a new foreign source of customer data. Now what? How do you get it mashed together with your current set to determine the overlap? Truelty has you covered, just load the data set into your Snowflake instance, and validate the Truelty semantic labels over the columns, then you’ll identify all the overlaps and their associated records within your existing data sets

Cross channel identification

Your customer channels come from website click throughs, call centers, emails, support cases, outreach campaigns, and on and on. How do you ensure that your efforts are not being wasted on duplicate email or home addresses? Truelty results not only assist with avoiding costly channel efforts, but it also consolidates data within each of these touchpoints to ensure you have a singular perspective on who your customers are

Anonymous history for known customers

Customers who deanonymize themselves appear as "new records" but they may have been shopping with you already in the past.

Cross-platform unsubscribe

CCPA and GDPR are requiring companies to be much more thoughtful about unsubscribe requests. If customers unsubscribe the organization now has an obligation to identify where that record lives across the various systems that contain that customers data.

Cross-application identification

Applications abound in your organization, SAP, Oracle, Salesforce, Marketo, HubSpot, Netsuite, Adobe, and the list goes on and on. Now you have a way of identifying duplicate records across all these systems using the power of Snowflake’s compute.

Get started with Truelty

What is required to get started?

  • 1

    Snowflake instance

    Running Enterprise or higher editions
  • 2

    Load data

    Data from enterprise applications, 3rd party data, cloud applications etc loaded into Snowflake
  • 3

    Run the set-up

    Python application and Snowflake permissions. All pre-scripted, takes about an hour. This creates a secure area for Truelty to process and avoids any conflicts with existing databases of schemas
  • 4

    Landing zone or View

    Land the data in the Truelty landing zone or point Truelty to a view. This is in your Snowflake instance. Load new or changed data at any interval you choose
  • 5

    Audit auto-mapped columns in the Control plane

    Truelty runs native Snowflake profiling on the columns to match it to Truelty’s Semantic Categories. Here you can audit the output to validate any required changes and flag columns in meaningful ways
  • 6

    Schedule the resolution process to run

    The control plane creates a table in Snowflake which the Truelty python application uses to auto-execute the ID resolution code