Today, as the result of inefficiencies in information management, 30 percent of knowledge workers spend 30 percent of their working time looking for information, rather than on something profitable.
Metadata, by its definition, tells more about other data. It gives common “keys” to finding information based on what it is, rather than where it is located.
With metadata, information can be categorized in a common, efficient way, so that everyone has access to it. Metadata, while already providing a lot of benefits for the organization, is still only one step on the path towards improved profitability.
To efficiently manage all organizational data, you need a method of finding, identifying, managing and processing information regardless of its location. You need connectors to access data in other repositories and intelligent tools to find and manage the information you need.
Webopedia explains intelligent information management as a set of processes and underlying technology solutions that enable organizations to understand, organize and manage all sorts of datatypes.
Intelligent information management comes from a metadata-driven approach to document management combined with the ability to manage information across systems and repositories without the need for migration. Additionally, AI is part of the package to help automate the related processes.
Information management is key to achieving both more profitability and compliance with laws and regulations. Intelligent information management provides transparency to workflows and helps you adhere to compliance requirements more easily.