Unstructured Data Is an Important Untapped Resource: 10 Reasons Why

Unstructured Data Is an Important Untapped Resource: 10 Reasons Why

by Chris Preimesberger

Unstructured Data Refers to More Information Than You Think

The term unstructured data describes information that is not organized into a well-defined schema. Nearly all that lives outside of relational databases is unstructured and includes images, videos and log files produced by computers, machines and sensors. Even this slide show list is unstructured data.

Unstructured Data Accounts for 80 Percent of Stored Information

The sheer amount of unstructured data is staggering. It makes up 80 percent of all digitally stored data. As the data-driven economy grows, the amount of unstructured data being produced grows as well, due to society’s constant use of social media, emails, documents, photos, videos and many other types of data.

Unstructured Data Is Created Everywhere, All the Time

Unstructured data is so voluminous because it is being created everywhere, all the time. Every minute, there are more than 6,000 pictures shared on social media sites and more than 200 million emails sent. People aren’t the only ones creating this data: Servers generate log files, and machine-based sensors produce mountains of information.

Unstructured Data Is Often Very Important Data

Your company strategy, vision and goals are locked in unstructured data in the Websites, presentations or Microsoft Word documents where they are held. Even your medical record is unstructured; the notes and test values are often stored as entirely unstructured data.

Significant Time and Value Goes Into Creating Unstructured Data

Employees spend a significant portion of their time creating presentations, proposals and business plans. Businesses lose nearly 20 percent of their productivity looking for previously created unstructured data and laboriously recreating it if it can’t be found.

Analyzing Unstructured Data Can Provide Competitive Advantages

Unstructured data isn’t well organized or easy to access, but companies who analyze this data and integrate it into their information management landscape can significantly improve employee productivity. Analysis allows organizations to quickly identify experts and authoritative information, which saves time and prevents rework. It can also help businesses capture important decisions and the supporting evidence for those decisions.

Unstructured Data Can Reveal Social Trends, Improve Customer Satisfaction

Analyzing social content such as Tweets, Facebook posts and transcripts from support calls gives a clear view of how customers perceive the value—and issues—regarding your products. Proactively understanding the issues and responding can dramatically improve the satisfaction of your customers, while feature requests can be captured, grouped and prioritized in ways never before possible.

Combining Structured, Unstructured Data Improves Efficiency

Before a salesperson contacts an existing customer to up-sell or to renew a contract, they need to know about the existing deal with the customer, how happy that customer is with the product or service, and who has been working with them in the past. Some of this data—such as customer contact details, deal size and structure—is often stored in structured databases, while communications, support cases and prior emails are locked in different systems.

Compliance Laws Cover Unstructured Data

Many laws cover the management of unstructured data: how long data must be retained and how data should be managed if your company is involved in a lawsuit. Failing to comply can lead to fines or even lost court cases.

Managing and Analyzing Unstructured Data Is Complex and Costly

The value of unstructured data is clear, but so are the costs of effectively analyzing and managing it. Complex text, audio and video analysis software often requires customization for your organization, and the individuals using the data management systems may need training to ensure that they are getting the most out of the investment. Have specific goals in mind when you start an unstructured data analysis or management project.