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In previous installments of our blog series, we covered a general overview as well as the first installment of our series centered on the Insights section of Qlik Cloud’s new UI. Today we’ll move on to the next section: Analytics.
Upon first glance at the Analytics section, you will notice it contains many more options than the Home section, more than double. Please do keep in mind, you will only see the options in this section that you have permissions to access. Additionally, you will see a few familiar options with ‘Home’, ‘Favorites’, ‘Collections’ and ‘Alerts’ being repeated. Due to this, we will be skipping these options, but you can learn more about these options in my previous blog by clicking here. With that out of the way, we are free to begin our deep dive into the ‘Analytics’ section.
The first non-repeated option we’ll find is ‘Create’. Upon clicking create, the user will be shown a vast offering of beginning points for the analytics side of Qlik Cloud. Here users can do so much, from starting an analytics app, to a ML experiment, or even a data connection. Create is the perfect place to begin when you’re wanting to take advantage of Qlik Cloud’s offerings.
‘Catalog’ is the next section of Analytics. The Catalog is great for searching through the various items within your Qlik Cloud tenant. In this section, users can narrow down their search not only by the apps they have created, but by charts, notes, automations they have established. The Catalog makes finding the exact item you are looking for easy so you can get to working with your data, instead of searching.
The ‘Visualize and analyze’ section of Analytics begins a subsection called ‘mini-homes’. Users will find a similar view to the ‘Create’ section, but more focused on creating apps and uploading data. This section also allows users to search for the various apps on their tenant using filters to narrow down their search. In the top right hand corner, users will find a ‘create new’ button in each mini-home which offers easy access to the displayed options as well as an ‘Upload’ option in Visualize and analyze.
‘Prepare Data’ offers a similar view to ‘Visualize and analyze’ though it is focused on the various data files a user has loaded. Here you’ll find QVDs, excel files and any other sources of data that has been loaded. Like the Visualize and analyze section, users can search for a file or narrow down the files displayed through various filters.
Predict is related to Qlik Cloud’s machine learning or ‘ML’ feature. In this section, users can begin creating an ML experiment, establish a data connection or upload a data set. Of course, the various previously established ML experiments can be found here and search for.
Answer is the last mini-home in the subsection. This section allows users to create AI-based assistants to ask questions and get answers from unstructured data sources. In this mini-home, users can create the AI assistant, create a knowledge base and establish a data connection or upload knowledge files. This section also contains previously established knowledge bases and assistants. To learn more about the Answer mini-home, click here to learn more from Qlik Help.
Automations provides users with an interface to create new automations. These automations can be used to do any number of things within your Qlik Cloud tenant. Qlik Cloud comes with various templates that a user can use to begin setting up their own automations, from automatically reloading data, or notifying a team on slack about a reload, the possibilities can no doubt be used by any user. Visit the automations section to see how this section can help your team!
Second to last, we’ll find the ‘Subscriptions’ section of Qlik Cloud. Subscriptions provides an interface to view various charts or sheets that you have subscribed to. Users can select any chart or sheet in an app, and simply click ‘Subscribe’ to set up a subscription to the item. These subscriptions will be sent to a user’s email at an interval that is decided when establishing the subscription. This allows users to stay informed of a collection of important data directly from their email.
Finally, at the bottom of the list, users will find the ‘Getting started’ section. If you find yourself at a loss for a beginning point, this section can help users in their journey of taking advantage of Qlik Cloud’s offerings. This section offers helpful points to jump into uploading your data, while also providing video guides to demonstrate some of the processes of Qlik Cloud, even providing sample data to get you started analyzing data. Getting started is a great resource for new users, or even veterans that want to learn something new!
Thank you for taking the time to read this blog entry, I hope you learned something new in our deep dive through the Analytics sections of the new UI. Throughout this blog, we touched on many points that can be further explored, is there a section you think deserves their own blog entry? If so, leave it down in a comment below. If you missed it, check out my previous blog on the ‘Insights’ section of the UI located here.
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