This tag relates to the discussions on the development of analytics and business intelligence solutions, visualization, KPI and other business metrics management.
A simple data analysis example created in IntegratedML and Dashboard
Based on InterSystems' Integrated ML technology and Dashboard, automatically generate relevant predictions and BI pages based on uploaded CSV files. The front and back ends are completed in Vue and Iris, allowing users to generate their desired data prediction and analysis pages with simple operations and make decisions based on them.
In our latest episode of Data Points, I had a conversation with @Thomas Dyarabout AI Link, which helps bridge the gap between data scientists and business analysts. Our conversation talks about how AI Link fits with IntegratedML and Adaptive Analytics, as well, as what new features are on the horizon for IntegratedML. Take a listen!
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When we collect temporary data (the number of purchases in the store, the number of comments on the post), it may happen that there is no data for a certain period of time. In this case, this time period (hour, day, month) is not represented in the database, that is, there is not a single row for this period. In other words, there are no rows in the database for this period.
There are several options how to deliver user interface(UI) for DeepSee BI solutions. The most common approaches are:
use native DeepSee Dashboards, get web UI in Zen and deliver it in your web apps.
use DeepSee REST API, get and build your own UI widgets and dashboards.
The 1st approach is good because of the possibility to build BI dashboards without coding relatively fast, but you are limited with preset widgets library which is expandable but with a lot of development efforts.
The 2nd provides you the way to use any comprehensive js framework (D3, Highcharts, etc) to visualize your DeepSee data, but you need to code widgets and dashboards on your own.
Today I want to tell you about yet another approach which combines both listed above and provides Angular based web UI for DeepSee Dashboards - DeepSee Web library.
Do you want to reap the benefits of the advances in the fields of artificial intelligence and machine learning? With InterSystems IRIS and the Machine Learning (ML) Toolkit it’s easier than ever.
Join InterSystems Sales Engineers, @Sergey Lukyanchikovand @Eduard Lebedyuk, for the Machine Learning Toolkit for InterSystems IRIS webinar on Tuesday, April 23rd at 11 a.m. EDT to find out how InterSystems IRIS can be used as both a standalone development platform and an orchestration tool for predictive modelling that helps stitch together Python and other external tools.
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.
With the release of InterSystems IRIS, we're also making available a nifty bit of software that allows you to get the best out of your InterSystems IRIS cluster when working with Apache Spark for data processing, machine learning and other data-heavy fun. Let's take a closer look at how we're making your life as a Data Scientist easier, as you're probably already facing tough big data challenges already, just from the influx of job offers in your inbox!
I recently discovered the Monitoring Activity Volume feature in IRIS and I was amazed by it. So, I put it to work in one of our productions. It is nice how easy it is to set up and all the possibilites that came with it.
But there's something weird: the numbers. Actually, one of the BP is stating a time of more than 6 seconds to process:
By design, DSW provides an implementation for every widget in DeepSee library. But there are some extra features in DSW which make solutions built with DSW dashboards more functional. This article describes it.
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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.
In the previous part of this series, we saw how to include data in a portlet from within DeepSee. This used the built in data controller. In this part, we are going to be pulling in data from outside of DeepSee. This will include both information from within InterSystems IRIS and from the OS.
Why use this?
This is useful if you would like to create a dashboard that only contains information about your system. It is also useful if you want to display data about your system along side data that you have stored in DeepSee.
Hi All,
We have been using DeepSee which has been the integrated Analytic Dashboard built over Cache Cubes. It works fine but it's visual capabilities are limited and most probably is getting phased out.
If I am not wrong, Tableau is the suggested alternative to DeepSee . It is expensive and a big and considerable shift from existing technology
I wanted to get an opinion of the community as to these few key points
- What other BI tools others have been using with IRIS and what have been their experience
- For which tools are the best inbuilt support / api's avaialble in IRIS
We're excited to announce that we've completed our first Open Exchange submission for InterSystems platforms.
BridgeWorks VDM is an ad hoc reporting and graphical SQL query builder application that was designed for any user who needs access to their SQL projections in InterSystems Caché, InterSystems IRIS, InterSystems IRIS for Health databases as well as access to InterSystems DeepSee and InterSystems IRIS BI Cubes with minimal SQL scripting experience.
The following post outlines a more flexible architectural design for DeepSee. As in the previous example, this implementation includes separate databases for storing the DeepSee cache, DeepSee implementation and settings, and synchronization globals. This example introduces one new databases to store the DeepSee indices. We will redefine the global mappings so that the DeepSee indices are not mapped together with the fact and dimension tables.
Thank you all for your continued feedback and support of our ad hoc reporting platform, VDM. There's been some questions around setting up a non-ODBC connection for InterSystems platforms. We published a new YouTube video showing the steps necessary to connect to InterSystems Caché and InterSystems IRIS with BridgeWorks VDM.
Preview Mode was added to InterSystems IRIS Business Intelligence to give designers a quick view of what their resulting Pivot Table will look like without needing to wait for the results to fully execute. This can be beneficial when designing pivot tables because if you are dragging and dropping elements to see how they look/work in your pivot table and seeing if they have the desired data. Since you are exploring and designing, you don't necessarily care about the results at the moment, but you would still like to see how your table looks with the changes you have made.
According IDC, 80% of all data produced are NoSQL. See:
There are digital documents, scanned documents, online and offline texts, blob content into SQL, images, videos and audio. Imagine a Corporate Analytics initiative without all these data to analyze and support decisions?
In all the world, many projects are using techonologies to transform these NoSQL data into textual content, to allows analyze it. See:
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