Information Classification

Classification is the pillar that supports information management. It is the process of organizing and relating data. This way, information can be located or retrieved with ease.

A large volume of information is unmanageable without a labeling system that identifies, categorizes and hierarchically organizes data. Information Classification solutions are essential for fast retrieval of information, accuracy of search results, ease of navigation, data protection or precision of recommendations.

Benefits of Information Classification

Information Classification provides important benefits, including:

• Accessibility: Classification process puts the information in the hands of those who need it.
• Exploitation of existing resources: Thanks to Information Classification systems, users can discover interesting content that they did not even know existed.
• Time saving: Users can retrieve information more quickly, both through direct search and browsing.
• Security: Classification is key to identifying data that requires protection and to act accordingly.
• Improvement of productivity: Correct classification avoids redundant efforts.
• Discovery of opportunities: The ability to analyze, compare or relate heterogeneous information brings to light new opportunities.
• Better decision-making process: The possibility of accessing all the necessary information improves the efficiency, effectiveness and speed of decision-making processes.

Custom Classification

Organizations have access to an increasing volume of data, both structured and unstructured. This data comes from different sources and it is stored in different formats. Each company can take advantage of Information Classification for a variety of purposes: to make it easier for employees to reuse their peers' work, to protect sensitive customer data, to reduce search time, to streamline content creation process, to promote awareness of existing resources …

Our systems are able to group, relate and hierarchize large volumes of information.

At 3.14, we are committed to developing tailor-made solutions. Our systems are able to organize heterogeneous information according to the classification criteria that each organization requires. When necessary, we use Machine Learning and Natural Language Processing (NLP) to maximize benefits.

Our systems are intelligent, but they are also designed to build on their users’ social intelligence. For this purpose it is possible to combine automatic and manual systems:

• Automatic tagging: The system is able to extract the most relevant information from each content. The system analyzes this information and forms groups, draws relationships and establishes hierarchies.
• Manual tagging: Users categorize content by using their own tags. That way, they can adapt classification to their criteria. When both models are combined, the system increases its intelligence.

To maximize information value, it is possible to integrate classification process with information management systems, intelligent search engines or content curation solutions.