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applications based on

InterSystems products

Renderer for DeepSee Dashboards in Browser with MDX2JSON as a Serverside and JS web-client

Subscribe to Pivot Tables in InterSystems IRIS Business Intelligence to receive scheduled emails

Tool for monitoring BI cube events and build errors

BridgeWorks VDM is an ad hoc reporting and graphical SQL query application.

A notebook approach to use IRIS analytics capabilities.

InterSystems IRIS NLP Analyzer to websites. Extract all website content with the app crawler and analyze into Text Analytics Domain Explorer and in the BI User Portal.

A simple and fast way to send data from your application to the IRIS database for further processing and search for insights.

RESTful web api for MDX to JSON transformation (plus JSONP and XML/A) for InterSystems Caché. Also provides information about DeepSee objects.

The iKnow Natural Language Processing technology was originally developed in Belgium and then acquired by InterSystems in 2010. In February 2020, InterSystems published the technology to open source, expanding the possible use cases for it beyond embedded use from the InterSystems IRIS Data Platform. iKnow is open to community contributions to enhance the engine, language models and interfaces for use in text exploration, information extraction and machine learning use cases.

analytics for covid-19

A suite to use IRIS as Machine Learning Environment. Helping the development community to classify the posts with tags.

Easily transform a CSV file/Table/SQL query into a personalized preview of InterSystems IRIS BI

Scripts to set up a data explorer for the COVID-19 research article database, powered by InterSystems IRIS NLP technology

Hi Developers and Interface Engineers! I'd like to share with you how you can help your organization today obtain a better understanding of key message processing metrics (i.e. average message processing times, number of inbound messages, number of outbound messages, etc.)! Given the embedded IRIS database powering integration, you already have all the data you need -- you just need to put the data to use and present them in a user-friendly format. Here are some sample code to get you started. A detailed tutorial guide that accompanies this sample code can be found here on InterSystems Developer Community - https://community.intersystems.com/post/developing-operational-analytics-dashboards.

Online User Reports - automatically analyzes data - generates automated reports - provides interface for ad hoc reports - conducts statistical research. Connect to your database and see reports made for you by Online User Reports at OUReports.com

It is map examples of different regions to render in DeepSeeWeb

InterSystems Developer Community analytics.

Visualizer of relations between iKnow entities. Text data visual analysis.

Tool to visualize pbuttons(/SystemPerformance) data

A small set od DeepSee dashboards for selected system monitor metrics - data collected by %SYSMONMGR utility.

Example of Deepsee usage for Caché© Audit

Visualization tools and analysis of time series data

Lightweight pivot table representation for MDX2JSON source for InterSystems Cache

InterSystems iKnow Reviews Analyzer General approach to build sentiment review analysis projects with InterSystems iKnow

Demo application for data-driven modelling, building or refining a dictionary through exploratory analysis of text using InterSystems' iKnow technology

Demo application to build rule patterns based on sequences of terms to be matched, based on InterSystems' iKnow technology

Set Analysis Demo app for InterSystems' iKnow technology

It is a Search Portal demo app for iFind, part of InterSystems' iKnow technology

Information Extraction demo app based on InterSystems' iKnow technology

Map methods calls in InterSystems Cache database across classes

iKnow implementation for touristic review analysis using Russian language. Producing digital appraisals for reviews

A few iKnow code samples described on the InterSystems Developer Community

Search and categorization for InterSystems Documentation with iKnow and iFind