Organizations rely on digitized unstructured data for insights in terms of business decisions. In this world of information overload, around 80% of data collected is unstructured, assembled from emails, social media feeds and user devices. CIO Review brought this information to our attention in their article, “Analyzing Unstructured Data.”
Analyzing unstructured data can be challenging. If you identify the data source, it is a giant first step in determining whether the data collected is relevant. Because the volume of data you are dealing with is so massive, the search could be all over the place. To focus in on your specific need, predictive analytics can guide you.
These are just a few of the steps you can take to analyze unstructured data and make it work for you. The referenced article offered more insights and tips. Unstructured data is typically information that either does not have a pre-defined data model or is not organized in a pre-defined manner. This results in irregularities and ambiguities.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
