Transforming unstructured data from scattered sources into knowledge

Today companies are dealing with rapid and discontinuous changes, where technological achievenments, information and knowledge are drivers for business success. In that chaotic world companies have been struggling with the dissipation of company knowledge. That costs companies thousands of dollars and delays the completion of work. Knowledge is a mix of experience, values, information, applied in the minds of workers. It is providing a framework for evaluating and incorporating new experiences and informations. Knowledge often becomes embedded in documents or repositories, organizational routines, processes, practices, and norms, usually unstructured data. Successfull organizations recognize that knowledge is an asset, perhaps the only one that grows over time, so they are trying to introduce in theirs processes Knowledge management which is generally understood as a process of having control over the creation, capturing, storing and managing knowledge toward organizational success. Workers in companies with KM have greater opportunities for collaboration, authoritative information when and where it is needed, better access to expertise, better learning experiences leading to innovation and research, faster re-use of information and knowledge focussing on competitive advantage. But 80 percent of that knowledge is unstructured and scattered around the company in many formats, and useless for future usage. We will show solution for dealing with the dissipation of knowledge in company, by taking out knowledge from the scatter sources and putting them in structural knowledge format.