1. A computer system providing taxonomy for enterprise data management and analysis, the system comprising: interface to a computer network, said computer network including data stored in devices attached to it; means to access said data; metadata extraction means; metadata repository; full text search engine of the data; index repository; classification means to classify said data, wherein said classification means are applied to extracted metadata and wherein said classification means are applied to the result of full text search; means to create data management policies, each said data management policy including one or more actions to be performed on data, wherein said actions include: modify data read/write and access permissions; encrypt data; retain data; ensure data security; ensure data protection; means to apply a data management policy to classified data; means to create a hierarchy of enterprise data management taxonomy nodes, wherein each of said nodes includes: classification criteria used by said classification means to classify data belonging to the preceding node in the taxonomy; and classified data created by said classification means using said classification criteria; number of classified documents; wherein one or more of said nodes include a data management policy and wherein at each node that includes a data management policy, said management policy is applied to data included in said each node.
1. A computer system providing taxonomy for enterprise data management and analysis, the system comprising: interface to a computer network, said computer network including data stored in devices attached to it; means to access said data; metadata extraction means; metadata repository; full text search engine of the data; index repository; classification means to classify said data, wherein said classification means are applied to extracted metadata and wherein said classification means are applied to the result of full text search; means to create data management policies, each said data management policy including one or more actions to be performed on data, wherein said actions include: modify data read/write and access permissions; encrypt data; retain data; ensure data security; ensure data protection; means to apply a data management policy to classified data; means to create a hierarchy of enterprise data management taxonomy nodes, wherein each of said nodes includes: classification criteria used by said classification means to classify data belonging to the preceding node in the taxonomy; and classified data created by said classification means using said classification criteria; number of classified documents; wherein one or more of said nodes include a data management policy and wherein at each node that includes a data management policy, said management policy is applied to data included in said each node. 8. The system of claim 1 , further comprising machine learning classification means, said machine learning classification means are based on providing positive sample documents expected to be included in a node and negative sample documents not expected to be included in a node, said machine learning classification means use said positive sample documents and said negative sample documents to decide whether subsequent presented documents belong to a taxonomy node.