发明名称 Providing a multi-tenant knowledge network
摘要 Business intelligence, decision support and knowledge management network systems and methods provide efficient, robust, and business-friendly services for the rapid analysis of massive amounts of business, electronic, and other disparate data into actionable intelligence. An advantageous element of the multi-party knowledge network allows the aggregation of common data formats in order to analyze a combined dataset consisting of information from multiple parties, thereby providing additional business intelligence than with a single set of data alone.
申请公布号 US8825716(B2) 申请公布日期 2014.09.02
申请号 US201414199631 申请日期 2014.03.06
申请人 Cross Commerce Media, Inc. 发明人 Martin, Jr. Russell William;Martinov Michael;Messer Heidi;Messer Stephen
分类号 G06F17/30;G06Q30/02;G06Q50/00 主分类号 G06F17/30
代理机构 Troutman Sanders LLP 代理人 Troutman Sanders LLP ;Bollinger, Esq. James M.
主权项 1. A non-transitory computer-readable medium comprising executable instructions that when executed by a processor cause the processor to effectuate a method comprising the steps of: obtaining raw data from a plurality of different data sources, wherein the plurality of different data sources comprise a plurality of different business entities; analyzing the raw data to identify one or more data structures of the raw data; generating a plurality of Universal Data Model (UDM) constructs, each UDM construct based at least in part on the identified one or more data structures of the raw data; integrating the raw data from the plurality of different data sources by extracting, transforming, and loading the raw data such that the raw data conforms to the UDM construct for the identified one or more data structures of the raw data, wherein the integrating generates UDM transformed data; and generating multi-tenant analytics data, wherein the generated multi-tenant analytics data is based on the UDM transformed data, and wherein the UDM transformed data is associated with at least two different data sources of the plurality of different data sources.
地址 New York NY US