The Qualytics Data Firewall – Explained

Can you trust your data? Qualytics uses a Data Firewall to ensure your data is trustworthy.

What is a Data Firewall? 

At its most basic, a firewall is the barrier that sits between a private internal network and the public internet. It was invented in the 1980s and soon became the most important line of defense for organizations against cyber attacks. Its main purpose is to keep dangerous traffic out. We took this concept and applied it to data. This means our Data Firewall’s main purpose is to keep bad data out. We profile and analyze your data, ultimately using our understanding to improve your data’s quality by filtering and quarantining the bad data.

How does it work?

As data passes through the Qualytics Data Firewall our filters take one of three actions:

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Pass

Pass data through successfully to its desired destination

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Pass & Alert

Send an Alert message that an Anomaly has passed through

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Hold & Quarantine

 Protect by Quarantining these anomalies until the user decides what to do next

The Benefits of a Firewall in Motion

One of the most important pieces to the firewall process is the other job it is doing while it is scanning the data for anomalies. While the data is passing through the firewall, Qualytics is learning. Each piece of data is teaching the system what data should go in, what data should be reviewed, and what data should be stopped. These “checks” build confidence in your data. This means you are proactively reviewing your data instead of reacting to it as this all happens in motion. Instead of waiting until data reaches a certain destination, it is thoroughly reviewed and anomalies are addressed before it causes issues downstream. 

DataFirewall

The Qualytics firewall process is working on two things as it scans the data: 

  1. Sorting for anomalies 
  2. Learning 

Instead of waiting until data reaches a certain destination, it is thoroughly reviewed and anomalies are addressed before it causes issues downstream.

Why Filter out Bad Data? 

Cleaning bad data is expensive. It is important to filter out bad data in every report – before downstream issues arise. Downstream issues can cause X and Y – which is why it is of utmost importance to catch anomalies in their tracks.

Qualytics is the complete solution to instill trust and confidence in your enterprise data ecosystem. It seamlessly connects to your databases, warehouses, and source systems, proactively improving data quality through anomaly detection, signaling and workflow. Check out our other blogs to learn how you can start trusting your data. Let’s talk about your data quality today. Contact us at hello@qualytics.co