data discovery solution

In the first part of this blog series, we explored the challenges associated with today’s data landscape and the reasons why more and more organizations need an automated data discovery solution to address these challenges. The ever-increasing amount of data being processed, the evolving regulatory landscape, and the variety of technologies (legacy systems, data lakes, SaaS tools, etc.) that store and process data are just a few of the challenges organizations face when it comes to their data. 

Watch the Webinar: Automate Your Privacy Program with Data Discovery 

Organizations take varied approaches based on a variety of factors to address data challenges. While the right approach may vary based on internal and external factors, there are a few common mistakes organizations make when trying to know and govern their data: 

While locking down data and leveraging manual discovery processes are key to privacy, security, and data governance programs, these methods should be leveraged in tandem with an automated data discovery solution to address modern data challenges. 

Watch the Webinar: Automate Your Privacy Program with Data Discovery 

Essential Elements of an Effective Data Discovery Solution  

A truly automated data discovery solution helps organizations understand their data across their business and third-party relationships. This is done by connecting to and scanning IT systems, leveraging AI, machine learning, and other technologies to classify, tag, enrich the data, and then inventory and take action on that data in different ways. Almost all data discovery solutions accomplish these key elements in some way, shape, or form, so an organization must dig deeper when evaluating the tool that is the best fit for them. A few essential capabilities to look for in a data discovery solution include: 

The final critical element to consider is once you know your data, what do you do with that information? Many data discovery solutions are just that – data discovery solutions. Once the data is discovered, these tools need to integrate with other solutions to help your privacy, security, and data governance teams act and govern the data. Each of these teams has different use cases when it comes to actioning this information.  

Privacy teams need to not only process DSARs and other data requests but build records of the processing of personal data. Security requires the ability to control access and understand the security risks posed by IT systems. Data governance teams must map the lineage of data, apply governance policies, and enable the use of the data for analytics and business value.  Look for a data discovery tool that can integrate with these solutions or consider a platform approach.  

OneTrust not only helps you discover, classify, and know your data but also provides the full platform to help privacy, security, and data governance teams operationalize the downstream actions, governance processes, and compliance reporting that need to occur after discovery.  

In the next blog in this series, we’ll discuss how data discovery helps privacy teams automate the challenges of processing personal data in compliance with evolving privacy regulations worldwide. 

Read more in this series:

Further data discovery reading: 

Next steps on Data Discovery Solutions: