Navigating analytic content
Qlik Cloud Analytics activity centers offer a range of analytic content.
Click the content to open it. Activity center content displays the name, owner, and the modification date.
You can view the tags applied to the content by hovering your cursor over an app. On a touch device, you can view the tags by tapping 
on the app.
In addition, different content types may have additional options available by clicking 
on the content.
What content types are available to you depends on which activity center you are in.
| Content type | Insights activity center | Analytics activity center |
|---|---|---|
| Charts | Yes | Yes |
| Apps | Yes | Yes |
| Data | No | Yes |
| Scripts | No | Yes |
| Data flows | No | Yes |
| Table recipes | No | Yes |
| Notes | Yes | Yes |
| Links | Yes | Yes |
| Automations | No | Yes |
| ML deployments | No | Yes |
| ML experiments | No | Yes |
| Glossaries | No | Yes |
| Assistants | Yes | Yes |
| Knowledge bases | No | Yes |
| Data products | No | Yes |
Charts (Insights and Analytics)
Charts are app visualizations that have been made available in activity centers. You can add visualizations from apps as charts in your activity center. This lets you to closely monitor important visualizations without opening apps. For more information, see Monitoring visualizations.
You can click to view more options for the chart including:
| Option | Description | Further reading |
|---|---|---|
| Add to collection | You can add the chart to one of your collections. | - |
| Rename | You can change the chart name, description, and tags. |
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| Details |
You can view the owner and other metadata for the chart. |
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| Delete | You can delete the chart. | - |
Apps (Insights and Analytics)
Apps are task-specific, purpose-built applications that contain data loaded from data sources that are interpreted through visualizations.
In the Insights activity center, you can view apps. In the Analytics activity center, you can create new apps, duplicate existing apps, or upload apps. You can upload apps exported from your activity centers or other versions of Qlik Sense. You can keep your apps private or you can share them with other users. To learn more about Qlik Sense apps, see Working with apps.
Each app displays the app name, owner, and the modification date.
You can view the type of app and tags applied to the app by hovering your cursor over an app. On a touch device, you can view the app type and tags by tapping on the app. You can click on the app to open it. You can click to view more options for the app including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this app only or add them to the space with a chosen role. | Sharing apps with users who are not space members |
| Copy link |
Copy a link to the app. Warning noteIf the app is in an anonymous access tenant and anonymous access is turned on for the app, the app link can be opened by anyone.
|
- |
| Add to collection | You can add the app to one of your collections. | - |
| Rename | You can change the app name, description, and tags. | |
| Move |
You can move the app to a different space. |
Moving apps between spaces |
| Duplicate | You can create a copy of the app. | Creating apps and adding data |
| Reload now | You can reload the app data manually. | Reloading app data |
| Schedule |
You can create tasks to schedule reloads of app data. |
Scheduling reloading app data |
| Details |
You can view the app type and owner, as well as relevant date information for the app. Additionally, you can view the app size. This page also shows the tags applied to the app and who can access the app. You can also see reload history and performance evaluations related to the app. |
- |
| Notifications settings | Set notification preferences for this app. You can receive notifications when reloads and performance evaluations succeed or fail. You can also receive notifications if a scheduled reload for an app failed, stopped, or was disabled. You must be assigned to the reload schedule to receive this notification. You will not receive notifications if an app is reloaded in the Data manager or Data load editor. Reload notifications are sent if an app is reloaded in activity centers or on a schedule. | Notifications |
| Lineage |
Lineage represents the history of a field or dataset, back through applications and transforms, to the original data source. |
Analyzing lineage in Analytics |
| Impact analysis |
Impact analysis shows a downstream view of a data element’s dependencies - which databases, apps, scripts, files, or links would directly or indirectly be impacted if the value or structure of that particular field was changed. |
Analyzing impact analysis in Analytics |
| Evaluate performance | You can run a tailored evaluation as you develop your app and presents simple and understandable metrics such as response times for public sheets and objects. | App performance evaluation |
| Open in new tab | You can open your app in a new tab. | - |
| Open without data | You can open your app without data. This is helpful if you need to troubleshoot your load script. When you open an app without data, visualizations will not work, as they are not connected to the data source. Additionally, the data manager and the data model viewer will not be available. | - |
| Export with data | You can export apps as .qvf files. | Exporting apps |
| Export without data | You can export the app without any data. This only exports the sheets and stories of the app. | Exporting apps |
| Duplicate and convert to script | You can duplicate the app and convert it to a script. The app's load script is used as the script. | Converting apps to scripts |
| Delete | You can delete the app. | Deleting apps |
You can also add QlikView apps to Qlik Cloud. QlikView apps can only be viewed and have different options than Qlik Sense apps in the activity centers.
Data (Analytics)
Datasets are data files containing tables of data. You can view datasets in the Analytics activity center from the spaces to which you have access.
You can click to view more options for the app including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this dataset by adding them to the space with a chosen role. | - |
| Copy link | Copy a link to the dataset. | - |
| Add to collection | You can add the dataset to one of your collections. | - |
| Rename | You can change the dataset name, description, and tags. |
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| Details |
You can view the dataset in the catalog, with an overview of the dataset, a data profile, lineage information, and impact analysis. Additionally, you can view other metadata for the dataset. |
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| Lineage |
Lineage represents the history of a field or dataset, back through applications and transforms, to the original data source. |
Analyzing lineage in Analytics |
| Impact analysis |
Impact analysis shows a downstream view of a data element’s dependencies - which databases, apps, scripts, files, or links would directly or indirectly be impacted if the value or structure of that particular field was changed. |
Analyzing impact analysis in Analytics |
| Open in new tab | You can open your dataset in a new tab. | - |
Scripts (Analytics)
Scripts are Qlik Cloud applications for loading, transforming, and exporting data.
In the Analytics activity center, you can create new scripts, duplicate existing scripts, or upload scripts. You can upload exported scripts. You can keep your scripts private or you can share them with other users. To learn more about scripts, see Working with scripts in the catalog.
Each script in the Analytics activity center displays the script name, owner, and the modification date.
You can view the type of script and tags applied to the script by hovering your cursor over a script. On a touch device, you can view the script tags by tapping on the script. You can click on the script to open it. You can click to view more options for the script including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this script by adding them to the space with a chosen role. | Managing scripts |
| Add to collection | You can add the script to one of your collections. | - |
| Rename | You can change the script name, description, and tags. | |
| Move |
You can move the script to a different space. |
Editing script details |
| Duplicate | You can create a copy of the script. | Duplicating scripts |
| Run now | You can run the script manually. | Running scripts |
| Schedule |
You can create tasks to schedule runs of the script. |
Running scripts |
| Details |
You can view the script owner, as well as relevant date information for the script. Additionally, you can view the script size. This page also shows the tags applied to the script and who can access the script. You can also see reload history and performance evaluations related to the app. |
- |
| Notifications settings | Set notification preferences for this script. You can receive notifications when reloads and performance evaluations succeed or fail. You can also receive notifications if a scheduled reload for a script failed, stopped, or was disabled. You must be assigned to the reload schedule to receive this notification. You will not receive notifications if a script is reloaded in Script. Reload notifications are sent if a script is reloaded in an activity center or on a schedule. | - |
| Lineage |
Lineage represents the history of a field or dataset, back through applications and transforms, to the original data source. |
Analyzing lineage in Analytics |
| Impact analysis | Impact analysis shows a downstream view of a data element’s dependencies - which databases, apps, scripts, files, or links would directly or indirectly be impacted if the value or structure of that particular field was changed. | Analyzing impact analysis in Analytics |
| Export | You can export scripts as .qvf files. | Exporting scripts |
| Duplicate and convert to analytics app | You can convert the script to an app. The script will be used as the app's load script. | Converting scripts to apps |
| Open in new tab | You can open your script in a new tab. | - |
| Delete | You can delete the script. | Deleting scripts |
Data flows (Analytics)
A data flow is an intuitive no-code experience that allows you to create a visual flow to prepare data. Place your source on the canvas, and use a variety of processors to combine and shape your data in order to produce clean datasets for your Analytics apps or ML experiments.
For more information, see Loading and preparing data with Data flow.
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this data flow by adding them to the space with a chosen role. | Managing data flows |
| Add to collection | You can add the data flow to one of your collections. | Adding data flows to collections |
| Rename | You can change the data flow name, description, and tags. | Editing data flow details |
| Move |
You can move the data flow to a different space. |
Moving data flows |
| Duplicate | You can create a copy of the data flow. | Duplicating data flows |
| Reload now | You can run the data flow manually. | Running data flows |
| Schedule |
You can create tasks to schedule runs of the data flow. |
Scheduling data flows runs |
| Details |
You can view the data flow owner, as well as relevant date information for the data flow. Additionally, you can view the data flow size. This page also shows the tags applied to the data flow and who can access the data flow. You can also see run history. |
Seeing data flow details |
| Notifications settings | Set notification preferences for this data flow . You can receive notifications when runs succeed or fail. You can also receive notifications if a scheduled run for a data flow failed, stopped, or was deactivated. You must be the owner of the scheduled task to receive this notification. You will not receive notifications if a data flow is run from the data flow interface. Run notifications are sent if a data flow is run in an activity center or on a schedule. | Configuring data flows notifications |
| Lineage |
Lineage represents the history of a field or dataset, back through applications and transforms, to the original data source. |
Viewing lineage |
| Impact analysis | Impact analysis shows a downstream view of a data element’s dependencies - which databases, apps, scripts files, links, or other content would directly or indirectly be impacted if the value or structure of that particular field was changed. | Viewing impact analysis |
| Export | You can export data flows as .dfw files. | Exporting data flows |
| Duplicate and convert to script | You can convert the data flow to a script. | Converting data flows to script |
| Open in new tab | You can open your data flow in a new tab. | - |
| Delete | You can delete the data flow. | Deleting data flows |
Table recipes (Analytics)
A table recipe allows you to easily prepare tabular datasets within a no-code, spreadsheet-like interface. Iteratively explore, clean, and transform data through a series of reusable steps to produce a recipe.
For more information, see Loading and preparing data with Table recipe.
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this table recipe by adding them to the space with a chosen role. | Managing table recipes |
| Add to collection | You can add the table recipe to one of your collections. | Adding table recipes to collections |
| Rename | You can change the table recipe name, description, and tags. | Editing table recipe details |
| Move |
You can move the table recipe to a different space. |
Moving table recipes |
| Duplicate | You can create a copy of the table recipe. | Duplicating table recipes |
| Run now | You can run the table recipe manually. | Running table recipes |
| Schedule |
You can create tasks to schedule runs of the table recipe. |
Scheduling table recipes runs |
| Details |
You can view the table recipe owner, as well as relevant date information for the data flow. Additionally, you can view the table recipe size. This page also shows the tags applied to the table recipe and who can access the data flow. You can also see run history. |
Seeing table recipe details |
| Notifications settings | Set notification preferences for this table recipe. You can receive notifications when runs succeed or fail. You can also receive notifications if a scheduled run for a table recipe failed, stopped, or was deactivated. You must be the owner of the scheduled task to receive this notification. You will not receive notifications if a table recipe is run from the table recipe interface. Run notifications are sent if a table recipe is run in an activity center or on a schedule. | - |
| Lineage |
Lineage represents the history of a field or dataset, back through applications and transforms, to the original data source. |
Viewing a table recipe lineage |
| Impact analysis | Impact analysis shows a downstream view of a data element’s dependencies - which databases, apps, scripts files, links, or other content would directly or indirectly be impacted if the value or structure of that particular field was changed. | Viewing a table recipe impact analysis |
| Export | You can export table recipes as .dfw files. | Exporting table recipes |
| Duplicate and convert to script | You can convert the table recipe to a script. | Converting table recipes to script |
| Open in new tab | You can open your table recipe in a new tab. | - |
| Delete | You can delete the table recipe. | Deleting table recipes |
Notes (Insights and Analytics)
Notes are text commentary added by users. To learn more about notes, see Working with notes.
You can click to view more options for the notes including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this note by adding them to the space with a chosen role. | - |
| Add to collection | You can add the note to one of your collections. | - |
| Rename | You can change the note name, description, and tags. |
- |
| Details |
You can view metadata for the note, including owner, space, and relevant dates. |
- |
| Notifications settings | Set notification preferences for this note. | - |
| Delete | You can delete the note. | - |
Links (Insights and Analytics)
Links are hyperlinks, typically to external content, added to activity centers. To learn more about links, see Adding links in the Analytics activity center .
You can click to view more options for the links including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this link by adding them to the space with a chosen role. | Adding links in the Analytics activity center |
| Copy link | Copy the link. | - |
| Add to collection | You can add the link to one of your collections. | - |
| Edit | Edit the link. | - |
| Move | Move the link to another space. | - |
| Details |
You can view metadata for the link, including owner, space, and relevant dates. |
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| Delete | You can delete the link. | - |
Automations (Analytics)
Automations are automated analytics and data workflows, such as workflows that collect information from one application and pass it to another. To learn more about automations, see Qlik Automate.
You can click to view more options for the automations including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this automation by adding them to the space with a chosen role. | Creating and saving automations |
| Copy link | Copy a link to the automation. | - |
| Add to collection | You can add the automation to one of your collections. | - |
| Edit | Edit the automation. | - |
| Open in editor | Open the automation in the editor. | - |
| Rename | You can change the automation name, description, and tags. | - |
| Duplicate | Duplicate the automation. | - |
| Details |
You can view metadata for the automation, including owner, space, and relevant dates. |
- |
| Delete | You can delete the automation. | - |
ML deployments (Analytics)
ML deployments are machine-learning models that have been deployed to make predictions. To learn more about ML deployments, see Working with ML deployments.
You can click to view more options for the ML deployment including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this ML deployment by adding them to the space with a chosen role. | Deploying models |
| Copy link | Copy a link to the ML deployment. | - |
| Add to collection | You can add the ML deployment to one of your collections. | - |
| Rename | You can change the ML deployment name, description, and tags. | - |
| Move | Move the ML deployment to another space. | - |
| Details |
You can view metadata for the ML deployment, including owner, space, and relevant dates. |
- |
| Lineage |
You can analyze the upstream elements from which the ML deployment was created. |
Analyzing lineage for machine learning content |
| Impact analysis |
You can analyze downstream elements that are created from, and are possibly dependent on, the ML deployment. |
Impact analysis for machine learning content |
| Delete | You can delete the ML deployment. | - |
ML experiments (Analytics)
ML experiments are machine-learning experiments where data has been loaded to train a model to analyze and predict a business problem. To learn more about ML experiments, see Working with experiments.
You can click to view more options for the ML experiments including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this ML experiment by adding them to the space with a chosen role. | Creating experiments |
| Copy link | Copy a link to the ML experiment. | - |
| Add to collection | You can add the ML experiment to one of your collections. | - |
| Rename | You can change the ML experiment name, description, and tags. | - |
| Move | Move the ML experiment to another space. | - |
| Details |
You can view metadata for the ML experiment, including owner, space, and relevant dates. |
- |
| Lineage |
You can analyze the upstream elements from which the ML experiment was created. |
Analyzing lineage for machine learning content |
| Impact analysis |
You can analyze downstream elements that are created from, and are possibly dependent on, the ML experiment. |
Impact analysis for machine learning content |
| Delete | You can delete the ML experiment. | - |
Glossaries (Analytics)
Glossaries are tools for standardizing terms and definitions in Qlik Cloud. To learn more about glossaries, see Working with business glossaries.
You can click to view more options for the glossary including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this glossary by adding them to the space with a chosen role. | Working with business glossaries |
| Copy link | Copy a link to the glossary. | - |
| Add to collection | You can add the glossary to one of your collections. | - |
| Rename | You can change the glossary name, description, and tags. | - |
| Move | Move the glossary to another space. | - |
| Details |
You can view metadata for the glossary, including owner, space, and relevant dates. |
- |
| Delete | You can delete the glossary. | - |
Assistants (Insights and Analytics)
Qlik Answers assistants are AI-based assistants that provide an interface for interacting with data sources through natural language questions. To learn more about using assistants, see Answering questions with Qlik Answers. To learn more about creating assistants, see Working with assistants
You can click to view more options for the assistant including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this assistant by adding them to the space with a chosen role. | Managing assistants |
| Add to collection | You can add the assistant to one of your collections. | - |
| Move | Move the assistant to another space. | - |
| Rename | You can change the assistant name, description, and tags. | - |
| Details |
You can view metadata for the assistant, including owner, space, and relevant dates. |
- |
| Delete | You can delete the assistant. | - |
Knowledge bases (Insights and Analytics)
Qlik Answers knowledge bases are collections of structured data used by Qlik Answers assistants to answer questions. To learn more about working with assistants, see Working with assistants
You can click to view more options for the assistant including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this knowledge base by adding them to the space with a chosen role. | Managing knowledge bases |
| Add to collection | You can add the knowledge base to one of your collections. | - |
| Move | Move the knowledge base to another space. | - |
| Rename | You can change the knowledge base name, description, and tags. | - |
| Details |
You can view metadata for the knowledge base, including owner, space, and relevant dates. |
- |
| Delete | You can delete the knowledge base. | - |
Data products (Analytics)
Data products are highly trusted, re-usable, and consumable data assets. They are curated collections of productized datasets and business-approved metadata and domain logic designed to solve domain-specific business outcomes. To learn more about working with data products, see Working with data products
You can click to view more options for the data product including:
| Option | Description | Further reading |
|---|---|---|
| Share |
Give a user access to this data product by adding them to the space with a chosen role. | - |
| Add to collection | You can add the data product to one of your collections. | - |
| Details |
You can view metadata for the data product and other options. |
- |
| Lineage |
Lineage represents the history of a field or dataset, back through applications and transforms, to the original data source. |
Analyzing lineage in Analytics |
| Impact analysis | Impact analysis shows a downstream view of a data element’s dependencies - which databases, apps, scripts, files, or links would directly or indirectly be impacted if the value or structure of that particular field was changed. | Analyzing impact analysis in Analytics |
| Delete | You can delete the data product. | - |