The Axon Data Engine
The Axon Data Engine
Giving you a look behind the curtain
What is Axon Data Engine
What is Axon Data Engine
Is a data processing layer built by data engineers for GTM folks.
It brings all of the TAM data into a single, centralized place, normalizes the data, and aligns it with your CRM.
This is a critical part of operationalizing growth. You need clean, standardized, human-readable data to work with.
Let's break down the components so you can see the value for yourself.
How it works
How it works
Step 1: Extraction
Step 1: Extraction
Axon Data Engine pulls all of the underlying data out of all of the tools that hold TAM data (think CRMs, Apollo, email validation tools), and place them into a data warehouse. This approach allows you to extract contacts, companies, deals, products, workflows, etc., in addition to GTM tools that you use and put them into a single location.
Axon Data Engine pulls all of the underlying data out of all of the tools that hold TAM data (think CRMs, Apollo, email validation tools), and place them into a data warehouse. This approach allows you to extract contacts, companies, deals, products, workflows, etc., in addition to GTM tools that you use and put them into a single location.
Step 2: Transformation
Step 2: Transformation
Once your raw data is loaded into a data warehouse, it's super messy. It's not human-readable, and it's not really clear what different columns mean or how they're used in your business. Axon takes that raw data, stitches it together, and assigns business meaning to it in order to create completely new and clean data sources that exclusively reference meaningful information that you care about — regardless of where it's from.
Once your raw data is loaded into a data warehouse, it's super messy. It's not human-readable, and it's not really clear what different columns mean or how they're used in your business. Axon takes that raw data, stitches it together, and assigns business meaning to it in order to create completely new and clean data sources that exclusively reference meaningful information that you care about — regardless of where it's from.
Step 3: Continuous Monitoring
Step 3: Continuous Monitoring
Once your data is transformed into new, cleaned-up tables that contain only the data that you care about, you can run deep analytics on the data to identify key problem areas or revenue opportunities. This is NOT possible with human eyeballs as there are simply too many data points to keep track of, and too many nooks and crannies to check for issues.
With Axon, you have the power to identify the issues as they happen, without having to check millions of records - we do that for you, and we surface the key issues or insights that you should take a look at.
Once your data is transformed into new, cleaned-up tables that contain only the data that you care about, you can run deep analytics on the data to identify key problem areas or revenue opportunities. This is NOT possible with human eyeballs as there are simply too many data points to keep track of, and too many nooks and crannies to check for issues.
With Axon, you have the power to identify the issues as they happen, without having to check millions of records - we do that for you, and we surface the key issues or insights that you should take a look at.
Step 4: Remediation
Step 4: Remediation
Another big benefit of centralized, clean data is automation and remediation. Since we can detect when key events happen, or when data gets out of whack, it's really easy to then trigger hyper-specific actions to address those issues with precision. We leverage this data to send notifications from one system to another, create objects/update records in your CRM with hyper-specific data, pull in additional TAM records to meet thresholds you've set, and much much more.
Two examples shown below are using data from data vendors to update your CRM, and listening for CRM issues to create record/enrichment in your CRM.
Another big benefit of centralized, clean data is automation and remediation. Since we can detect when key events happen, or when data gets out of whack, it's really easy to then trigger hyper-specific actions to address those issues with precision. We leverage this data to send notifications from one system to another, create objects/update records in your CRM with hyper-specific data, pull in additional TAM records to meet thresholds you've set, and much much more.
Two examples shown below are using data from data vendors to update your CRM, and listening for CRM issues to create record/enrichment in your CRM.
