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#InterSystems IRIS BI (DeepSee)

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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.

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.

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Creating information dashboards, pivot tables, and widgets is an important step in analysis that provides valuable sources of information for informed decision-making. The IRIS BI platform offers many opportunities to create and customize these elements. In this article, we will take a closer look at the basic techniques for developing them and the importance of using them.

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When analyzing data, there is often a need to look at specific indicators more thoroughly and to highlight sections of information of particular interest to a user.

For instance, examining the data dynamics for specific regions or dates can help us uncover some hidden trends and patterns that will allow us to make an informed decision about our project in the future.

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