This tag relates to the discussions on the development of analytics and business intelligence solutions, visualization, KPI and other business metrics management.
I work on an ERP system and am trying to set up a dashboard according to a customer request. It's a pivot table with a few controls and filters, nothing too difficult, but I'm having some issues with drill down.
When we have to predict the value of a categorical (or discrete) outcome we use logistic regression. I believe we use linear regression to also predict the value of an outcome given the input values.
Then, what is the difference between the two methodologies?
The release of InterSystems IRIS 2021.1 introduces Adaptive Analytics. To get started with a familiar InterSystems IRIS BI sample cube, we have created a HoleFoods Sample Application for Adaptive Analytics. This Sample Application is available on Open Exchange. There is also a learning services course available to learn more about Adaptive Analytics.
When you have been using cubes for business intelligence in a namespace for some time, you may find that there are many cubes in the namespace, only some of which are actively being used. However, it can be difficult to tell which cubes users are or are not querying, and maintaining unused cubes can be costly both in terms of storage and of computation to keep them up to date. This article provides some suggestions and examples for monitoring which cubes are in active use, and for removing cubes that you determine are no longer necessary.
In this article we are going to show the results of the comparision between IRIS and Postgress when handling Astronomy data.
Introduction
Since the earliest days of human civilization we have been fascinated by the sky at night. There are so many stars! Everybody has dreamed about them and fantasized about life in other planets.
Over the last couple of weeks the Solution Architecture team has been working to finish off our 2019 workload: this included open-sourcing the Readmission Demo that was brought to HIMSS last year, so we could make it available to anyone looking for an interactive-way of exploring the tooling provided by IRIS.
According to IDC, more than 80% of information it is NoSQL, especially text into documents. When the digital services or applications not process all this information, the business lose. To face this challenge, it is possible use OCR technology. OCR uses machine learning and/or trained image patterns to transform image pixels into text. This is important, because many documents are scanned into images inside PDF, or many documents contains images with text inside. So OCR are an important step to get all possible data from a document.
When creating pivots in DeepSee, there is the ability to group date dimensions by Day, Week, Month, Quarter, Year. For some of our reporting the Week option is desired. However the display looks like the image shown below. Notice the "YYYYW##" formatting.
Is there any ability within DeepSee to modify the display of grouped week dates? E.g. instead of 2020W14 it could be 03/30/2020-04/05-2020, or even just the start or end date, etc.
Episode 17 of Data Points features a roundtable conversation with Carmen Logue, Benjamin De Boe, and Thomas Dyar about the Analytics & AI area of the InterSystems technology stack. Learn from these product experts about the various technologies and partnerships that exist within the Analytics & AI space at InterSystems, how some customers use these tools, and what might be coming in the future.
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I have recently studied deepsee and developed few dashboards needed for our web app users. I am trying to embed them in our existing web app which uses angular with delegated user access. I need to embed the native IRIS dashboard into it. ( I can't use Highcharts or any other js tools).
How do I setup the dashboards to work with delegated authentication (Without providing access to management portal or other parts) ? Also should I use the default csp/{Namespace}/_DeepSee.UserPortal.DashboardViewer.zen? or any other web application URL ?
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Every day Johns Hopkins University publishes new data on coronavirus COVID-19 pandemic status.
I built a simple InterSystems IRIS Analytics dashboard using InterSystems IRIS Community Edition in docker deployed on GCP Kubernetes which shows key measures of the disease outbreak.
This dashboard is an example of how information from CSV could be analyzed with IRIS Analytics and deployed to GCP Kubernetes in a form of InterSystems IRIS Community Edition.
Today, is important analyze the content into portals and websites to get informed, analyze the concorrents, analyze trends, the richness and scope of content of websites. To do this, you can alocate people to read thousand of pages and spend much money or use a crawler to extract website content and execute NLP on it. You will get all necessary insights to analyze and make precise decisions in a few minutes.