iContentClassifier data classification is the process of clustering (or grouping similar documents) and categorizing data into various types, forms or any other distinct class for its most effective and efficient use. Data classification enables the separation and classification of data according to data set requirements for various business objectives.
iContentClassifier leverages both machine learning as well as rule-based classification algorithms to effectively classify unstructured content using the available meta-data, content and enterprise defined taxonomy. It integrates with many classification engine providers to cater to a variety of customer needs. The data classification process enables an organization to effectively answer the following questions:
- What data types exist in a company’s information system?
- Where is the data located?
- What access levels are implemented?
- What protection level is implemented and does it adhere to compliance regulations?
iContentClassifier is a software solution that automates most of those processes by clustering unstructured data based on similarity and type. This approach is less costly, requires less people to run and can process content en-masse, saving time and money.