New post

#InterSystems IRIS BI (DeepSee)

25

InterSystems Business Intelligence enables you to embed business intelligence (BI) into your applications so that your users can ask and answer sophisticated questions of their data. Specifically, your application can include dashboards, which can include the following:

  • Interactive widgets that execute queries designed for specific user roles or for specific areas of your user interface.
  • Controls such as drop-down lists and data choosers that enable users to modify these queries.
  • Interactive drill options that enable users to view the displayed data in different ways.
  • Options to export, print, and send alerts to other users.
  • An option to launch the Mini Analyzer, which supports free-form analysis.
  • Execute custom actions that are provided as buttons or other controls.

In contrast to traditional BI systems that use static data warehouses, Business Intelligence is kept closely in synchronization with the live transactional data, as required for your business.

Learn more.

As said in the previous article about the iris-fhir-generative-ai experiment, the project logs all events for analysis. Here we are going to discuss two types of analysis covered by analytics embedded in the project:

Open Exchange app
2 0
1 206

Pandas is not just a popular software library. It is a cornerstone in the Python data analysis landscape. Renowned for its simplicity and power, it offers a variety of data structures and functions that are instrumental in transforming the complexity of data preparation and analysis into a more manageable form. It is particularly relevant in such specialized environments as ObjectScript for Key Performance Indicators (KPIs) and reporting, especially within the framework of the InterSystems IRIS platform, a leading data management and analysis solution.

Open Exchange app
4 4
1 184

Presenter: Barry Cooper
Task: Enable users to perform analytics within an application and take actions based on those analytics
Approach: Provide examples of embedding DeepSee within applications

Analytics is more than just using data to provide insight. Analytics is about taking action on that insight. See examples of how you can embed DeepSee in your applications, allowing you to take action.

Content related to this session, including slides, video and additional learning content can be found here.

0 0
0 164