What Is Unstructured Data Discovery?


In the age of big data, it is crucial to be able to identify and provide visibility into where your organization stores its information. This process is known as Data Discovery –identifying structured or unstructured data stored in various databases. These can be found across a variety of different sources (like social media sites). Data volume consumed at any given time.

Unstructured data is information in many different forms that does not follow conventional models. Basically, it is data that cannot be neatly fitted onto a spreadsheet. It is difficult to store and manage, but creative minds have been finding new ways all the time.

With the recent flood of unstructured data, it has become easier than ever for businesses to make use of this new source. Business Analytics (BI) and analytics tools are being developed that have been specifically created with the goal in mind. The goal of analyzing all types or formats to discover actionable value.

Unstructured Data Discovery Importance

Businesses must know what data they hold, its contexts, and where it is located before they can protect that data from compromise, exfiltration, or threats. This holds true for ensuring data accuracy and complying with various privacy and security mandates.

When the data is properly discovered, it can be classified. Data classification is the process of tagging data according to its type, its sensitivity or confidentiality, and the cost if altered or stolen. 

With classification information, you can implement security controls to protect data from accidental or intentional compromise as well as comply with the compliance mandates.

Benefits of Unstructured Data Discovery

When businesses know what data they hold, its contexts, and where it is located, they can then benefit in these ways:

Implement Data Classification Processes

Data classification is an important step in the process of making data easily searchable and trackable. It also eliminates multiple duplications, which can reduce storage costs while speeding up this entire procedure.

Apply Context-Sensitive Security Controls and Access Controls

With Context-Sensitive access, you can decide which apps a user has access to, which are based on their context. For example, if there are certain IT policies in place and they want the users’ devices to conform, then this feature will allow for it.

Execute Context-Sensitive Disaster Recovery Exercises

Context-Sensitive weighs the who, what, when, and where of access requests according to organizational needs. 

Conduct Context-Sensitive Monitoring and Audits

Contextualized security systems empower organizations to take a more holistic approach when it comes to real-time decision making.


Data is the lifeblood of any company and knowing what information to collect can be difficult. However, when you have a discovery process in place, data classification becomes much easier.

In the age of Big Data, it’s easier than ever for businesses to extract value from unstructured data. BI and analytics tools are being developed that have been specifically created with this goal in mind –analyzing all types or formats so you can discover actionable insights on demand.

The Content Analytics Platform (CAP), developed by Scion Analytics, can help with data discovery. The CAP can quickly analyze any textual data, in any format, and turn it into structured data that is discoverable for value. 

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