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.

In this article, I'd demonstrate how you can visualize the usage of Ensemble Workflow with DeepSee (tested on 2015.1 and later).

This error is sometimes seen while viewing a listing in InterSystems IRIS Business Intelligence:
ERROR #5540: SQLCODE: -99 Message: User <USERNAME> is not privileged for the operation (4)

As the error suggests, this is due to a permission error. To figure out which permissions are missing/needed, we can take a look at the SQL query that is generated. We will use a query from SAMPLES as an example.

Learn about tools available in DeepSee; including dashboards, the Analyzer and the Artchitect.

In part 1 we started working on a security model for DeepSee and create a user type having privileges typical of end users. In this part we are going to create a second user type with ability to edit and create DeepSee pivot tables and dashboards.

Introduction

Any election is a highly mysterious process, and when you look at its results, the overall picture is not quite clear. I decided to put them, region by region, on the map of Moscow using InterSystems technologies that offer both storage and data analysis functionality. In this particular case, I used InterSystems Ensemble, a platform for application development and integration, but you can also build this solution using the multi-model InterSystems Caché DBMS, as well as InterSystems’ new product called IRIS Data Platform.

Presenter: André Cerri
Task: Use third-party visualization tools to present your DeepSee data
Approach: Use DeepSee REST services to access DeepSee data from third-party tools

Come see examples of how you can use popular 3rd party data visualization tools to access your DeepSee data.

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

In the previous part of this series, we saw how to define a basic portlet. Now we will look into making this portlet reference a web page that will enhance our dashboard experience.

In this example, we will be embedding a Developer Community article along side a couple of widgets displaying information related to the number of views on the Developer Community articles. This example is not hosted on the Community Analytics server, but if it was we could see the view counts going up as we interacted with the page.

Why use this?

In a real case, perhaps you have an embedded page from an external web site showing the current Emergency Room wait times for Hospitals in your area. This portlet can be used along side widgets from your Emergency Room showing how many people are waiting, how many doctors are active, and how many people are being treated. As other Emergency Room wait times grow, you can possibly expect your volume to increase as well. This can help you make decisions on how to allocate resources.

Hi guys!

I'd like to present you my new project: iris-analytics-notebook, a notebook approach to use IRIS analytics capabilities.

Project description

In past few years, notebooks tools like Jupyter are gaining popularity due its natural way to express ideias.

An almost unipresent tool for data scientists, notebook can also help to improve the impact of analytics tools for all sort of users.

InterSystems Developer Community analytics. Project made with InterSystems IRIS BI (DeepSee), Power BI and Logi Report Designer to visualize and analyze members, articles, questions, answers, views and other pieces of content and activity on InterSystems Developer Community.

You can see your own activity, articles and questions. Track how your contribution changes developer community.

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.

In the previous part of this series, we saw how to reference a web page that will enhance our dashboard experience. Now we will look into referencing data that is already in our cubes.

In this example, we will be referencing the controller object and we will be extracting data from it. This data will then be displayed as text in our Dashboard. In Part 5, we will show how to incorporate this data into other charting libraries.

Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ InterSystems IRIS Business Intelligence - Tips & Tricks @ Global Summit 2023

https://www.youtube.com/embed/Ekjzny8zj98
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