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公开(公告)号：US10733202B2
公开(公告)日：2020-08-04
申请号：US15605734
申请日：2017-05-25
发明人： Stephen Messer , Kristis Makris , Russell William Martin, Jr. , Michael Martinov , Heidi Messer
IPC分类号： G06F16/27 , G06F16/955
摘要： Large-scale advanced database models, systems, and methods provide a responsive, scalable data storage solution which is ripe for use in data warehousing and analytics environments. These advanced database models, systems, and methods provide for dramatically increased performance in accessing data as well as increased storage capabilities in the data set.
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公开(公告)号：US20170262518A1
公开(公告)日：2017-09-14
申请号：US15605734
申请日：2017-05-25
发明人： Stephen Messer , Kristis Makris , Russell William Martin, JR. , Michael Martinov , Heidi Messer
IPC分类号： G06F17/30
CPC分类号： G06F16/27 , G06F16/278 , G06F16/955
摘要： Large-scale advanced database models, systems, and methods provide a responsive, scalable data storage solution which is ripe for use in data warehousing and analytics environments. These advanced database models, systems, and methods provide for dramatically increased performance in accessing data as well as increased storage capabilities in the data set.
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公开(公告)号：US11775889B2
公开(公告)日：2023-10-03
申请号：US16831712
申请日：2020-03-26
发明人： Russell W. Martin, Jr. , Stephen Messer , Heidi Messer , Paolo Cappellari , Paul Ashaolu , Antonio Maccioni
IPC分类号： G06Q10/00 , G06Q10/06 , G06Q10/109 , G06F16/2458 , G06F16/2457 , G06Q10/107 , G06Q50/00
CPC分类号： G06Q10/06 , G06F16/2462 , G06F16/24578 , G06Q10/107 , G06Q10/109 , G06Q50/01
摘要： A novel approach to facilitating access to valuable actionable content from a multi-tenant database involves system generated ranking of connection content with associated data retrieval methods and systems, utilizing “connector” scores to rank responsive content. The system “learns” how to optimize retrieving and ranking high value actionable content with experience; and applies optimized scoring parameters to enhance future operations. The computer platform is greatly improved by delivering actionable content that is immediately translated into critical operations and tasks recommended by the system to support transactions for the User.
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4.发明申请COMPUTING SYSTEM, METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM FOR PROVIDING A MULTI-TENANT KNOWLEDGE NETWORK 有权用于提供多种知识网络的计算系统，方法和非终端计算机可读介质公开(公告)号：US20160063076A1
公开(公告)日：2016-03-03
申请号：US14936813
申请日：2015-11-10
CPC分类号： G06F17/30557 , G06F17/30563 , G06F17/30569 , G06Q10/10 , G06Q30/0201 , G06Q50/01
摘要： A computing system includes memory comprising executable instructions and one or more processors operatively connected to the memory and configured to execute the executable instructions in order to effectuate a method. The method may include (i) analyzing raw data obtained from a plurality of different data sources in order to identify one or more data structures of the raw data and to tag data identifying at least one of the plurality of different data sources; and (ii) generating a plurality of Universal Data Model (UDM) constructs. Each UDM construct may be based at least in part on the identified one or more data structures of the raw data and each UDM construct may exclude the tagged data identifying at least one of the plurality of different data sources. Each UDM construct may organize the raw data into a particular arrangement of at least one row and at least one column.
摘要翻译： 计算系统包括存储器，其包括可执行指令和可操作地连接到存储器并被配置为执行可执行指令以实现方法的一个或多个处理器。 该方法可以包括（i）分析从多个不同数据源获得的原始数据，以便识别原始数据的一个或多个数据结构，并标识识别多个不同数据源中的至少一个数据源的数据; 和（ii）生成多个通用数据模型（UDM）构造。 每个UDM构造可以至少部分地基于所识别的原始数据的一个或多个数据结构，并且每个UDM构造可以排除标识多个不同数据源中的至少一个的标记数据。 每个UDM构造可以将原始数据组织成至少一行和至少一列的特定排列。
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公开(公告)号：US09665634B2
公开(公告)日：2017-05-30
申请号：US14790671
申请日：2015-07-02
发明人： Stephen Messer , Kristis Makris , Russell William Martin, Jr. , Michael Martinov , Heidi Messer
IPC分类号： G06F17/30
CPC分类号： G06F17/30575 , G06F17/30283 , G06F17/30584 , G06F17/30876
摘要： Large-scale advanced database models, systems, and methods provide a responsive, scalable data storage solution which is ripe for use in data warehousing and analytics environments. These advanced database models, systems, and methods provide for dramatically increased performance in accessing data as well as increased storage capabilities in the data set.
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公开(公告)号：US20140372171A1
公开(公告)日：2014-12-18
申请号：US14473517
申请日：2014-08-29
CPC分类号： G06F17/30557 , G06F17/30563 , G06F17/30569 , G06Q10/10 , G06Q30/0201 , G06Q50/01
摘要： A non-transitory computer-readable medium is disclosed 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; analyzing the raw data to identify one or more data structures of the raw data and to tag data identifying at least one of the plurality of different data sources; generating a plurality of Universal Data Model (UDM) constructs, each UDM being based at least in part on the one or more data structures of the raw data and each UDM excluding the source-identifying data; redacting the source-identifying data from the raw data to generate anonymous raw data; and generating anonymous UDM transformed data by integrating the anonymous raw data by extracting, transforming, and loading the anonymous raw data such that the anonymous raw data conforms to the UDM construct.
摘要翻译： 公开了一种非暂时性计算机可读介质，其包括可执行指令，当由处理器执行时，该处理器使处理器实现一种方法，该方法包括以下步骤：从多个不同数据源获得原始数据; 分析原始数据以识别原始数据的一个或多个数据结构，并标识识别多个不同数据源中的至少一个的数据; 生成多个通用数据模型（UDM）构造，每个UDM至少部分地基于所述原始数据的一个或多个数据结构以及不包括所述源标识数据的每个UDM; 从原始数据中修改源标识数据以生成匿名原始数据; 以及通过提取，变换和加载匿名原始数据使得匿名原始数据符合UDM构造来生成匿名原始数据来生成匿名UDM变换数据。
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公开(公告)号：US08713076B2
公开(公告)日：2014-04-29
申请号：US13745814
申请日：2013-01-20
IPC分类号： G06F17/30
CPC分类号： G06F17/30557 , G06F17/30563 , G06F17/30569 , G06Q10/10 , G06Q30/0201 , G06Q50/01
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.
摘要翻译： 商业智能，决策支持和知识管理网络系统和方法为快速分析大量业务，电子和其他不同的数据提供了可操作的智能，提供了有效，强大和业务友好的服务。 多方知识网络的一个有利因素允许共同的数据格式的聚合，以便分析由多方信息组成的组合数据集，从而提供比单独的一组数据更多的商业智能。
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公开(公告)号：US20240028979A1
公开(公告)日：2024-01-25
申请号：US18376143
申请日：2023-10-03
发明人： Russell W. Martin, JR. , Stephen Messer , Heidi Messer , Paolo Cappellari , Paul Ashaolu , Antonio Maccioni
IPC分类号： G06Q10/06 , G06Q10/109 , G06F16/2458 , G06F16/2457 , G06Q10/107 , G06Q50/00
CPC分类号： G06Q10/06 , G06Q10/109 , G06F16/2462 , G06F16/24578 , G06Q10/107 , G06Q50/01
摘要： A novel approach to facilitating access to valuable actionable content from a multi-tenant database involves system generated ranking of connection content with associated data retrieval methods and systems, utilizing “connector” scores to rank responsive content. The system “learns” how to optimize retrieving and ranking high value actionable content with experience; and applies optimized scoring parameters to enhance future operations. The computer platform is greatly improved by delivering actionable content that is immediately translated into critical operations and tasks recommended by the system to support transactions for the User.
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公开(公告)号：US20210182880A1
公开(公告)日：2021-06-17
申请号：US17121357
申请日：2020-12-14
摘要： Write back to customer relationship management systems is provided. Data logging of activities can be performed for sales professionals that use other third-party software solutions during their selling process. The logged data can be written back to the CRM system instead of needing input by the sales professionals. Certain data and generated insights can be written back to further enhance the data available to clients' sales organizations. Capability of writing back to target CRM systems can leverage existing APIs. Identification of data to be written back to the CRM systems is performed by an intelligent write back (IWB) system. The IWB system will write back to the standard objects in tenant CRMs. The IWB system can create custom fields within those objects for write back data.
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公开(公告)号：US09607056B2
公开(公告)日：2017-03-28
申请号：US14936813
申请日：2015-11-10
CPC分类号： G06F17/30557 , G06F17/30563 , G06F17/30569 , G06Q10/10 , G06Q30/0201 , G06Q50/01
摘要： A computing system includes memory storing executable instructions and one or more processors operatively connected to the memory. The one or more processors execute the executable instructions to effectuate a method. The method may include (i) analyzing raw data obtained from a plurality of different data sources in order to identify one or more data structures of the raw data and to tag data identifying at least one of the plurality of different data sources; and (ii) generating a plurality of Universal Data Model (UDM) constructs. Each UDM construct may be based at least in part on the identified data structure(s) of the raw data. Each UDM construct may exclude the tagged data identifying at least one of the plurality of different data sources. Each UDM construct may organize the raw data into a particular arrangement of rows and columns.
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