30 Application(s) results for #analytics
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Analytics
AdvancedIRISBISamples
AdvancedIRISBISamples
Advanced samples for InterSystems IRIS BI
0.0 (0)
Analytics
BridgeWorks WebReports
BridgeWorks WebReports
Web based reporting and dashboard platform
0.0 (0)
Analytics
BridgeWorks VDM
BridgeWorks VDM
BridgeWorks VDM is an ad hoc reporting and graphical SQL query application.
0.0 (0)
Technology Example
Demo-Pandas-Analytics
Demo-Pandas-Analytics
Demo application to demonstrate how to use the analytics power of IRIS Embedded Python
5.0 (1)
DockerPythonIPM
Analytics
MDX2JSON
MDX2JSON
RESTful web api for MDX to JSON transformation (plus JSONP and XML/A) for InterSystems Caché. Also provides information about DeepSee objects.
4.5 (2)
IPM
Analytics
iris-fhirsqlbuilder-dbt-integratedml
iris-fhirsqlbuilder-dbt-integratedml
Demonstration of building predictive models trained on FHIR data
0.0 (0)
DockerPythonAIML
Technology Example
iris-analytics-package
iris-analytics-package
This project has the intention to show a basic approach using the Analytics capabilities of InterSystems IRIS
5.0 (1)
DockerIPM
Technology Example
Samples-BI
Samples-BI
Provides sample data for use with InterSystems IRIS Business Intelligence, as well as fully developed sample BI models and dashboards.
5.0 (1)
DockerIPM
Analytics
covid-19 analytics
covid-19 analytics
analytics for covid-19
5.0 (2)
DockerIPM
Developer Environment
errors-global-analytics
errors-global-analytics
Analytics for the bugs in ^ERRORS
5.0 (1)
DockerIPM
Analytics
CubeEventMonitor
CubeEventMonitor
Tool for monitoring BI cube events and build errors
4.0 (1)
DockerIPM
Analytics
OUReports
OUReports
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
5.0 (1)
Analytics
IntegratedML-IRIS-Cloud-Height-prediction
IntegratedML-IRIS-Cloud-Height-prediction
Height and weight prediction based on InterSystems IntegratedML
2.0 (1)
Analytics
iris_log_analytics
iris_log_analytics
Monitoring Event Log Solution Based on Intersystems IRIS
0.0 (0)
Technology Example
NY Taxi Demo
NY Taxi Demo
A simple guide to NY taxi business, leveraging Columnar Storage
5.0 (1)
DockerPythonIPM
Analytics
NeuraHeart
NeuraHeart
See readme for auth details.
4.0 (1)
Python
Analytics
AnalyzeThis
AnalyzeThis
Easily transform a CSV file/Table/SQL query into a personalized preview of InterSystems IRIS BI
5.0 (2)
DockerIPM
Analytics
MDX Query Auditing Samples
MDX Query Auditing Samples
Samples for auditing queries on IRIS BI cubes and analyzing audit data
4.3 (2)
IPM
Frameworks
iris-rad-studio
iris-rad-studio
IRIS RAD Studio it's a low-code solution that came to make the developer's life easier; Allowing everyone to create their CRUD based on a simple class definition or even a CSV file.
3.5 (1)
DockerIPM
Frameworks
IRIS-Smart-Mining-Starter-Pack
IRIS-Smart-Mining-Starter-Pack
Smart Mining Starter Pack
0.0 (0)
Docker
Analytics
PivotSubscriptions
PivotSubscriptions
Subscribe to Pivot Tables in InterSystems IRIS Business Intelligence to receive scheduled emails
0.0 (0)
Analytics
dataking-server
dataking-server
A simple and fast way to send data from your application to the IRIS database for further processing and search for insights.
2.0 (1)
Frameworks
IRIS-Smart-Factory-Starter-Pack
IRIS-Smart-Factory-Starter-Pack
An Application Starter Pack (ASP) is a code base built by an InterSystems partner using InterSystems IRIS Data Platform that shortens the time to develop a complete application that addresses a specific industry or technology challenge. It is not a completed application. Rather, it is a starter code
0.0 (0)
Python
Analytics
ISC-operationaldashboard
ISC-operationaldashboard
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.
3.8 (2)
Solutions
Reducing Readmission Risks with Realtime ML
Reducing Readmission Risks with Realtime ML
Patient Readmissions are said to be the Hello World of Machine Learning in Healthcare. We use this problem to show how IRIS can be used to safely build and operationalize ML models for real time predictions and how this can be integrated into a random application.
3.5 (1)
DockerML
Technology Example
PortletSamples
PortletSamples
Sample DeepSee Portlets showing different ways to implement custom widgets
5.0 (1)
Integration
HL7 and SMS Interoperability Demo
HL7 and SMS Interoperability Demo
This application requires you to have Docker installed on your PC.
5.0 (1)
Docker
Frameworks
RGateway
RGateway
Use R language with InterSystems IRIS
0.0 (0)
AIML
Analytics
yape
yape
Tool to visualize pbuttons(/SystemPerformance) data
4.5 (1)
DockerPython
Analytics
DeepSee Audit
DeepSee Audit
Example of Deepsee usage for Caché© Audit
0.0 (0)