公开(公告)号：US20220342911A1

公开(公告)日：2022-10-27

申请号：US17579262

申请日：2022-01-19

申请人： PricewaterhouseCoopers LLP

发明人： Amit DHIR ,  Pradnesh DESHMUKH ,  Vasundhara RUNGTA ,  Pranati DANG ,  Aparna PRASANNAN ,  Vishal ADKAR ,  Mathew GEORGE

IPC分类号： G06F16/28 ,  G06F16/215 ,  G06F16/25 ,  G06F16/23 ,  G06F16/2455

摘要： A method for data ingestion for a data visualization platform comprises receiving a plurality of data sets, generating and storing a merged data set based on the plurality of received data sets, and, receiving, via a graphical user interface, a first input comprising an instruction to perform a data standardization operation. The method comprises, in response to receiving the first input, applying a data standardization operation to the merged data set to process the merged data set to generate a standardized data set. The method comprises receiving, via the interface, a second input comprising an instruction to perform a data analytics operation, and responsively applying the data analytics operation to the standardized data set to generate insights data. The method includes receiving, via the interface, a third input comprising an instruction to perform a data visualization operation, and responsively generating one or more data visualizations based on the insights data.

公开(公告)号：US20220342912A1

公开(公告)日：2022-10-27

申请号：US17579267

申请日：2022-01-19

申请人： PricewaterhouseCoopers LLP

发明人： Amit DHIR ,  Henry HUANG ,  Michael REID ,  Pradnesh DESHMUKH ,  Vasundhara RUNGTA ,  Prachi AGRAWAL ,  Pranati DANG ,  Tarun SHARMA ,  Vasudeva SANKARANARAYANAN ,  Surya TURLAPATI ,  Mathew GEORGE

IPC分类号： G06F16/28 ,  G06F16/2458

摘要： Systems, methods, and graphical user interfaces (GUIs) for ingesting and enriching data regarding a plurality of entities are provided. A first data set comprising company data and a second data set comprising customer data are ingested. The first data set is processed to generate a processed data set. The first data set may be processed by applying an entity matching technique, wherein one or more data elements are generated based on whether an entity of the first data set and an entity of the second data set are commonly associated. The first data set may additionally or alternatively be processed by applying a statistical matching technique, wherein one or more predicted data elements are generated based on similarity between an entity of the first data set and one or more entities of the second data set.