Driving Big Insight through Data Management and Governance

A Quick Primer on Unstructured Data

In my last post titled “Unstructured Data is the Killer App of Big Data” I wrote about the difficulties I’ve had with describing big data to some colleagues and friends. When I run into this problem, I use the following sentence to help kick-start conversations about big data:

“Data warehouses work for structured data but what do you do with unstructured data?”

When people think about ‘data’ they normally think about a database where data resides in a well-defined structure. That’s not the case for unstructured data. By definition, there is no structure or data model or even organization to the data. It lives in many locations (e.g., email, files, websites, etc) and is normally very widely dispersed across an organization.

One of the biggest companies today owes its very existence to unstructured data. Google got its start from building systems and approaches to finding information in stacks of unstructured data. The ability to point a search engine at a large number of content containers and be able to find exactly the words or phrases you are looking for brings a great deal of value to users, but even more value can be found from this content if approached with an analytic mindset and the right tools.

Structured data lends itself well to analysis and analytical tools. It is fairly easy to point something at a database and say ‘show me X’ or to visualize things. Unstructured data is completely different as there is no data model to help those analytical tools ‘understand’ the data and to help return information to the user. Because of this, unstructured data requires new approaches, new tools and new skills.

No longer is it enough to be able to run queries against a database; data needs to be analyzed first for content and then categorized in some way to allow for analysis and visualization. It takes a different mindset and approach to find insight in unstructured data. In my next post on the subject, I”ll give some examples and insights into how organizations approach analysis and categorizing their vast stores of unstructured data.

I am a strategic consultant with an interest in marketing technology, information technology and the merger of IT and Marketing. In addition, I am studying the use of data and data analysis for use in decision support systems and processes.

View all contributions by Eric D. Brown

Recent posts by Eric D.
The ROI of Big Data

 • January 29, 2014

The Big Data Skill Challenge

 • February 06, 2014

Context and Big Data

 • February 12, 2014

Data Management and Big Data

 • February 14, 2014

Does it make sense to promote a data scientist to Chief Data Officer?
Total votes: 370
Brian Dalessandro, is VP of Data Science at Dstillery, a marketing technology company that looks at the complete consumer journey — both digital and physical — to build custom audiences...
Most Commented on Community
Follow us on Twitter
Like us on Facebook