Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An online portal may also be provided to allow users to automatically embed interactive chart(s) in another website without reprogramming the code of the website each time the interactive chart(s) are changed or new interactive chart(s) are added.

Abstract: An analysis server receives data of multiple types. The analysis server uses multiple generated and pre-trained analysis models and semantic layer operations to analyze the data and search for and detect correlations, trends, and/or predictions using adaptive artificial intelligence or machine learning algorithms. The analysis server then transmits data to a viewer device identifying the detected correlations, trends, and/or predictions, thereby displaying notifications, charts, or graphs at the viewer device. The analysis server may then check to see if the detected correlations, trends, and/or predictions hold true based on new data, and can adjust, augment, or evolve the pre-trained analysis models based on this, or can assign or adjust confidence scores to each of the pre-trained analysis models based on this.

Abstract: An analysis server receives data of multiple types. The analysis server uses multiple generated and pre-trained analysis models and semantic layer operations to analyze the data and search for and detect correlations, trends, and/or predictions using adaptive artificial intelligence or machine learning algorithms. The analysis server then transmits data to a viewer device identifying the detected correlations, trends, and/or predictions, thereby displaying notifications, charts, or graphs at the viewer device. The analysis server may then check to see if the detected correlations, trends, and/or predictions hold true based on new data, and can adjust, augment, or evolve the pre-trained analysis models based on this, or can assign or adjust confidence scores to each of the pre-trained analysis models based on this.

Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An online portal may also be provided to allow users to automatically embed interactive chart(s) in another website without reprogramming the code of the website each time the interactive chart(s) are changed or new interactive chart(s) are added.

Abstract: An analytic visualization, such as a chart or graph, embedded into a container. The container is embedded into a portal, such as a web page, that is viewable by a viewer device. To update the analytic visualization, an update server receives a data request from the viewer device or from a container host server that hosts the container. The update server generates a data processing instruction based on the data request, which it sends to data sources. The data sources store a full dataset, and are configured to extract a processed dataset from the full dataset based on the data processing instructions. The update server receives the processed dataset from the data sources, applies one or more semantic layer operations to the processed dataset, and generates a visualization update based on the result. The update server then transmits the visualization update to the viewer device or container host server.

Abstract: A method and system is described securely capturing up-to-date data and presenting the up-to-date data in an analytic visualization. An update server receives a data request from a container that can display the analytic visualization. The update server generates a data processing instruction and transmits it to a data server. The update server then receives a processed data set from the data server, generates a visualization update based on the processed data set, and transmits the visualization update to the container. The container can then display the analytic visualization with up-to-date data from the data server. Because the data processing is performed at the data server, the remaining data on the data server is never moved through the network and remains secure. The update server can also receive from the container, and transmit to the data server, an identifier whose permissions limit data access from the data server.

Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An online portal may also be provided to allow users to automatically embed interactive chart(s) in another website without reprogramming the code of the website each time the interactive chart(s) are changed or new interactive chart(s) are added.

Abstract: A first container embedded into a web portal is used to output a first analytic visualization that visualizes a first dataset. A second container embedded into a web portal is used to output a second analytic visualization that visualizes a second dataset. The contents of the first dataset and second dataset is different subsets of data from one or more data sources stored at one or more data servers. One or more update servers is situated communicatively between each of the containers and the corresponding data servers to ensure filtering of data is performed at the data servers and that no other data beside the first and second datasets reach the containers. Data is shared from the second container to the first container if the two containers share at least one data type. Data sharing is performed at the container level, the update server level, or the data server level.

Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An online portal may also be provided to allow users to automatically embed interactive chart(s) in another website without reprogramming the code of the website each time the interactive chart(s) are changed or new interactive chart(s) are added.

Abstract: Market data is often provided as inhomogeneous imperfect data with inconsistent granularity and hierarchical entries. Data processing operations may be performed by a user device or by a server coupled to a user device to transform the imperfect market data into perfect market data with consistent granularity where all entries are leaf nodes with no subordinate entries. The data processing includes data correction operations identify provided parent values of parent entries, the parent values based on sets of child values of child entries that are subordinate to the corresponding parent entry (e.g., representing sums, products, minimums, maximums, etc. of the child values) and compare these parent values to calculated values of corresponding operations performed on the provided child values. Additional entries may be generated to absorb any discrepancies identified in these comparisons. Parent nodes can then be removed to remove redundant information and provide uniformity to the market data.

Abstract: A method and system is described securely capturing up-to-date data and presenting the up-to-date data in an analytic visualization. An update server receives a data request from a container that can display the analytic visualization. The update server generates a data processing instruction and transmits it to a data server. The update server then receives a processed data set from the data server, generates a visualization update based on the processed data set, and transmits the visualization update to the container. The container can then display the analytic visualization with up-to-date data from the data server. Because the data processing is performed at the data server, the remaining data on the data server is never moved through the network and remains secure. The update server can also receive from the container, and transmit to the data server, an identifier whose permissions limit data access from the data server.

Abstract: A method and system is described securely capturing up-to-date data from multiple data sets and presenting the up-to-date data in an analytic visualization. An update server receives a data request from a container that can display the analytic visualization. The update server generates multiple data processing instructions and transmits these instructions to each of the data servers that have access to one of the multiple data sets. The update server then receives multiple processed data sets, each processed data set corresponding to one of the data sets. The update server generates a visualization update based on all of the processed data sets, and transmits the visualization update to the container, so that the container can display the analytic visualization with up-to-date data from each of the data sets. Because the data processing is performed at the data servers, the remaining data on the data servers remains secure.

Abstract: A method and system is described for publishing an analytic visualization. A publisher system receives an analytic visualization from a generation interface and generates a container associated with the analytic visualization. The container can be embedded into a portal, such as a website, document, or presentation. The container can transmit a data request to an update server and receive from the update server a visualization update that includes a processed data set. The container can then incorporate the visualization update to generate and display an updated analytic visualization that incorporates the visualization update. Because the container can receive updates from an update server, the analytic visualization can be made interactive and kept up-to-date. The container can also send an identifier associated with a data permission setting along with the data request, and in this manner can limit certain individuals or machines from accessing certain data through the analytic visualization.

Abstract: A method and system is described securely capturing up-to-date data and presenting the up-to-date data in an analytic visualization. An update server receives a data request from a container that can display the analytic visualization. The update server generates a data processing instruction and transmits it to a data server. The update server then receives a processed data set from the data server, generates a visualization update based on the processed data set, and transmits the visualization update to the container. The container can then display the analytic visualization with up-to-date data from the data server. Because the data processing is performed at the data server, the remaining data on the data server is never moved through the network and remains secure. The update server can also receive from the container, and transmit to the data server, an identifier whose permissions limit data access from the data server.

Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An online portal may also be provided to allow users to automatically embed interactive chart(s) in another website without reprogramming the code of the website each time the interactive chart(s) are changed or new interactive chart(s) are added.

Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An online portal may also be provided to allow users to automatically embed interactive chart(s) in another website without reprogramming the code of the website each time the interactive chart(s) are changed or new interactive chart(s) are added.

Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An online portal may also be provided to allow users to automatically embed interactive chart(s) in another website without reprogramming the code of the website each time the interactive chart(s) are changed or new interactive chart(s) are added.

Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An online portal may also be provided to allow users to automatically embed interactive chart(s) in another website without reprogramming the code of the website each time the interactive chart(s) are changed or new interactive chart(s) are added.

Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An exemplary interactive feature includes an interactive audio feature. The interactive chart can be shared by, for example, embedding the interactive chart in an external electronic document, such as a .ppt or PDF document, that can be shared with other users. The interactive chart and/or the data associated with the interactive chart may also be purchased through an online store environment or otherwise shared with other users.

Abstract: Systems and methods for generating and sharing interactive charts are described. The interactive charts are generated in an online portal that allows users to customize the interactive features of the chart. An online portal may also be provided to allow users to automatically embed interactive chart(s) in another website without reprogramming the code of the website each time the interactive chart(s) are changed or new interactive chart(s) are added.