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Bookmarks sharing allows users to share their insights with other users, enhancing decision-making by utilizing the collaborative insights of all users.
Bookmark sharing also helps get users to start exploring new apps with example insights and speed up self-service usage of data apps.

The new feature allows users to share their bookmarks with specific users and groups.

Creators can define a list of fields that will not show in the filter bar even if a selection is made in them.

This feature supports complex guided analytics apps that require default selections in some areas of the app.

Advanced calculations enable all users to answer more complex business questions like:

The Full list of Advanced Calculations includes:

Advanced calculations are available in this release's KPI object, scatter, and dot charts.

When displaying a table with multiple dimensions, showing the same values in the dimension in every row might make it hard for users to read the table.
This new feature simplifies the table display and allows users to find insights faster.

Custom labels allow for the display of measure & dimensions labels that update dynamically according to selections or time changes.
Custom labels simplify chart reading and help users focus on the data and find insights.

Custom labels now appear in all tooltips, and when charts are exported to Excel, they help users share insights.

A new option to display measures only bar chart in grouped mode; this enables the creation of comparison of multiple measures in one bar chart.
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Slider filters enable users to quickly select a range of numbers in a field or a range of dates.

With the new formatting option, the numeric/date field can be formatted to help users understand the type of field they are using.

Astrato now supports integration with Clickhouse. Users can connect to Clickhouse databases directly, enabling seamless querying and analysis within Astrato’s live-query environment. This new connection expands data source flexibility and enhances support for fast and scalable analytics. Currently available in Beta, with further enhancements coming soon.

The get date component block now includes support for retrieving the week from a given date. Users can choose between ISO week or standard week options for more flexibility in handling date-related data. This enhancement provides a streamlined way to extract week information directly within action blocks.

Report error messages have been improved to provide clearer feedback. Errors, such as deleted variables, will now be displayed at the end of the report, making them easier to identify and resolve.

The new measures filters enable users to answer business questions like:
Show customers who purchased more than five times and spent less than 1000$ ?
In each category, which products have a YOY growth higher than 10% and generate revenue higher than 100k$?
User can combine filters on multiple measures to answer their questions.
The results can be applied as global filters in the app for further exploration.
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Introducing the new Set Variables block, designed to enhance both performance and ease of use. Instead of triggering separate queries for each individual variable change, all updates are applied at once, making it particularly efficient when used in measures or filters. By consolidating variable changes into a single action, this block not only reducing complexity in your setup but also improves performance by minimizing redundant query executions.

We’re excited to announce a new feature that allows users to customize their analytics experience by adding their company’s favicon via a simple URL link in the workbook settings.

With the addition of favicons, businesses can further align their analytics environment with their corporate identity.

This is a must-have for OEMs or customers with data meshes who share data with customers, partners, or suppliers.

Exporting a dataset from a data analytics tool is integral to the natural analytics and thinking process.
The exported data can be shared with other users or programs to exploit the data's insights further.
This new feature enables creators to add an export icon to an object, simplifying the process of exporting data for end users.

Astrato's advanced calculation enables all users to create measures that answer complex business questions with just a few mouse clicks.

The new options of Nested aggregation and Nested ratio enable users to answer questions like:

What is the daily active user average on the website?

What is the product stickiness rate in SAAS?

How many products have had positive growth compared to last year in each category?

Answering these business questions in Astrato is as simple as answering any other business question, further enhancing the self-service offering.

Astrato's Advanced calculation includes also:

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Efficient building and simple maintenance of data apps for guided analytics and OEM data products are essential for the quick time-to-market release of new versions and capabilities.
The Linked object is going to be one of the creators' most used tools in Astrato.
This new option allows for the reuse of buttons and visualizations inside an app.
All the linked objects are edited in one place and can perform the same set of actions.

After copying an object, there is a new option in the menu paste as linked.

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Adding context to map visualization helps users to understand the data easily and to make educated decisions.
The new feature allows creators to build an interactive data analytics experience using map event actions.
Use can range from tooltips to any dashboard filtering and chart-adjusted display.

Buttons help creators build guided analytics apps that shorten the time to insight for users.
The new feature allows creators to add a button to the filter bar.

The same button on the same position across an app helps users learn the curve.

This new type of button can run the same action flow on multiple sheets, reducing the app's complexity and maintenance time when changes are needed.

In the data analysis process, it's important to remove noise and outliers to facilitate the visualization of insights and the making of educated decisions.

This new feature allows users to hide records that all the measures return null or zero, creating a more meaningful display.
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Using HTML code enhances the design and functionality options of the text object in Astrato.
This new option enables creators to enhance the display of text objects with the full design range of HTML text, including fonts and coloring parts of the text, interactive backgrounds, and more.
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Using HTML code enhances the design and functionality options of the dimensions in a table.
This new option enables creators to enhance the display of dimension columns with the entire design range of HTML text, including fonts and coloring parts of the text, interactive backgrounds, and more.

When creating guided analytics apps and data storytelling, including more information without confusing the users is essential.

With the new sheet scrolling option, data storytelling and guided analytics can be better than before, leveraging the option to include more insights in a single page. ​

In a good data app, we include several visualizations that give users the bigger picture view, combining the insights from all visualizations.

But there are times when users want to dive deep into a certain visualization. With the new feature of maximizing objects, users can easily focus on a specific visualization to see the data insights without the distractions of other visualizations.​

Astrato's custom report is an essential part of the self-service analytics offering,

It allows a creator to create a secure and controlled self-service environment for end-users.

Ad-hoc reports can be built and saved on the fly with a selected measure and dimension.
With the new improvements, users can easily re-order dimensions and measures, sort the visualization display, and much more.

Variables for chart filters have arrived! Variables in filters enable use cases like creating filter groups for multiple charts or bulding comparative analysis data apps.

Using variables, comparative analysis is now even more powerful, enhancing your data storytelling capabilities. You can link filters between charts or even connect individual measures across different visuals. Whether you're comparing against competitors, assessing neighboring retail stores, or analyzing performance across regions, the possibilities are at your fingertips.

Setting up chart filters with variables:

Data label (measures) and axis label size can now be customized and even linked to variables. Customize label size between charts to show users a clear hierarchy of insights.

Need to make a chart stand out after an interaction? That;'s where variables come in, to make the data that matters,come to life.

We've enhanced the color customization options for the number object. Now, you can not only select which measure to color by but also independently set unique colors and thresholds for each measure.

Charts are able to set by default to the end of the data - perfect when working with time based data.

Introducing a helpful shortcut—CTRL + SHIFT + L—that instantly reverts your workbook to its default state by clearing all user states and applied bookmarks. This feature ensures you can quickly reset your workbook if needed.

In the evolving data analytics landscape, writeback capabilities are emerging as a game-changer. But what's the real business value? Let's break it down:

There are many more use cases that can be done with writeback as a native part of the data analytics apps.

Key pairs are more secure because they use two keys (one public, one private), keep the private key secret, allow you to verify who sent a message, are easier to manage, and provide proof of sending messages.

1. Two Keys: A key pair uses two keys – a public key and a private key. The public key locks (encrypts) the data, and only the private key can unlock (decrypt) it. This means if someone gets the public key, they still can't read the data without the private key.

2. Private Key Stays Secret: The private key is kept secret and never shared. This means only you can unlock the locked data with your public key, making it very secure.

3. Verify Identity: Key pairs allow you to sign messages with your private key. The recipient uses your public key to verify the signature, ensuring the message is really from you and hasn't been tampered with.

4. Easier Management: Instead of sharing one key with everyone (like with a single password), each person has their own key pair. This makes it easier to manage and more secure because you don't have to share your private key with anyone.

5. Proof of Sending: When you sign a message with your private key, it proves you sent it. No one else could have signed it because no one else has your private key.

The new display of the assets panel in the dataview now includes indicators for the number of items for each category.
This makes tracking the changes in the items and management of items much more efficient.
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This new feature enhances the control of admins and creators on what each user can do in a dataview; it also enhances the flexibility of controlling user access to data and reduces the number of data connections needed.

More calculations to support self-service analytics, Easily create measure the shows advanced calculations such as:

These option are added to the existing option of period over period and moving calculations that were part of previous releases.

For measures aggregations that support string values (listagg, max, min, any_value), we now support the use of strings in conditional coloring.

No more broken images - add a fallback URL to specify the next best image when there is one missing (or no longer valid).

Astrato's Data apps just became even more powerful with the addition of a stored procedure action block.

Using this action opens up new use cases:

Adding writeback functionality to a data analytics app provides several significant benefits,
to name a few:

Bookmarks speed the time for insight for users by saving commonly used filters and reports.

The new bookmark object makes the bookmark list more accessible, allowing users to save their preferred display and share it with others.

Actions enable creators to build guided analytics data apps for end-users, automating users' data exploration and insights.
The new actions enable date actions such as range selection and finding the latest data available; using these actions to build time makes data exploration simpler and faster.

Changing dynamically the levels of details presented in a Map object enhances the user's natural way of thinking and focusing on data insights.
As the user zooms in to an area of interest, the level of display changes, and new and more detailed insights can be uncovered.

More charts now contain label backdrops, improving label visibility and association with the related data point.

Label backdrops are available on the following charts: 🆕 Bar, Scatter, Line.

Benchmarking just became effortless! Use axis bands to create a richer data-driven experience and get instant visual feedback when updating targets and benchmarks.

Manage the level of access of different users to a data-view (semantic model)
Control who can contribute and consume the data in the model to supply end users with analytics-ready data and simplify Self-Service analytics.

The pixel-perfect dashboard design has just become simple with the new group properties. These settings will enhance builders' control of group design and reduce the number of objects needed to design dashboards. Groups now have new properties that allow setting a background, border, and other properties to the group.

Accumulated growth uncovers insight on a larger set of inputs and reduces the impact of outliers to expose changes in growth trends in important measures.

Creating a measure for accumulated growth usually requires good knowledge of SQL writing, but in Astrato, it requires only a few mouse clicks.

Polygon maps are valuable tools for visualizing and analyzing geographical data across various business applications.

Key use cases include:

These applications allow businesses to transform complex spatial data into actionable insights, supporting more informed decision-making by revealing patterns, trends, and relationships tied to specific geographic areas.

A new centralized access control for data connections, data-views, and collections.
The new access control service includes these features:

A new and easy way to select a range of numeric values or dates and focus on existing values inside a range.
With this new feature, data exploration is simpler and faster, and dashboards are cleaner with fewer static filter objects on the screen and more exploration options for users.

Have you ever wanted to create an animated chart? With the new fetch dimension block it's easy to fetch all possible/selected/not selected values from a field. The output of the block can be used in loops or for advanced filter use cases or creating cyclic reports to name a few.

Reports now support up to 250 pages with high resolution with a DPI factor 2 for crisp, printable reports.

With the addition of parameters you can now reuse the same report in different schedules. Add string, number or boolean parameters to your report definition block and those becomes available in the scheduler or the Send and Open report blocks.

Send report and open report blocks have options to use a custom filename, leave blank for the default, name of the report with a timestamp at the end.

Send report block have options for the Email body and supports the PDF to be encrypted with an optional password.

By incorporating mini charts with scroll bars, you ensure that your visualizations remain clear, navigable, and insightful even when dealing with extensive dimension values.

Combo charts are valuable assets in data analytics. They provide a versatile and powerful way to combine different data visualizations.

They enable deeper insights, efficient data presentation, and enhanced storytelling, making them an essential tool for analysts and decision-makers.

With this new setting, you can display a combo chart vertically to make ranking charts easier to read.

Showing the Others record using the TopN feature helps users see the full data context. They can see the significance of the entities' tail ends.

With this new setting, you can set the other record sorting position.

The new version of the Date Picker allows users to navigate between years and months using the new controls easily.
Focusing on a certain range of dates is now simple and easy.

The new line shape has a setting for a vertical line; this new setting fits the line to the vertical space while disregarding the width of the shape.
This new option will improve the design of data stories and guided analytics dashboards.

drill-down and drill-through functionalities provide a comprehensive framework for data analysis:

With the five new actions, building different use cases of drill-through and drill-down with a complete no-code experience is simple and easy.

The new waterfall chart covers the use cases when there is a need to visualize individual entities' contribution to a KPI's overall results, for example:

Custom Labels for dimensions and measures allow the label to change dynamically according to users' interactions in an app.
Common use case for custom labels:

A new design option to control the display of long texts allows you to opt for an ellipsis mode and define a static number of rows for the text display.
Or opt for a responsive display that automatically adapts the text size and number of rows.

Ellipsis mode is the default option for all new text objects.

The Input Box (the first version of the input form) will be deprecated from this version forward.
Instead, multiple Atomic Input objects replace the input box.
All existing input boxes will continue to work; there will be no option to create new input boxes.

With this new option to limit the visible domain and add a scroll bar to the Dot plot, Bar-, Combo- and Line chart, the chart can tell a more focused and detailed story without losing the context of the entire dataset.

Bar chart example with scroll bar.

In analytics, the term "Top N" refers to the highest-ranking or performing items in a given set according to some measurable criteria. "N" stands for a numerical value that you specify when you want to limit your analysis to a certain number of top items. This is commonly used in business intelligence and data analysis to identify and focus on the most significant data points out of a larger dataset.
For instance, here are a few examples of how "Top N" might be used:

The "Top N" analysis is useful for prioritizing actions, allocating resources, or focusing on areas that have the most significant impact on the overall performance of a business or system. It’s also a common feature in reporting and data visualization tools, where you can dynamically filter dashboards or reports to display only the top performers based on the selected metric.

Embed now support exporting data and images/PDF via the context menu! 🥳

ℹ️ to enable export on existing embeds, please see our support article for more guidance

Pivot tables are among the most powerful data exploration tools, enabling users to slice and dice through data and uncover insights.

Introducing the pivot table into the custom report now enables users to easily add and replace dimensions and measure through their exploration, taking data exploration to the next level.

Measures and dimension groups in the custom report assist end-users in finding the relevant dimensions and measures to their business questions, speeding up and making data exploration more efficient and simple.
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Astrato's Data apps just became even more powerful with the addition of a stored procedure action block.

Using this action opens up new use cases:

There are many more use cases to take advantage of this new feature.

The AI Inisigts objects now support these types of visualizations:
Sankey, Dot Plot, Word Cloud, Waterfall.
Using AI insights helps users uncover hidden insights in the above visualizations. It can also increase users' data literacy by training them to read the above types of visualizations.

Our new dot plot visualization is great for uncovering high-level and detailed insights in one chart.
The dot plot supports these use cases:

Compare the distribution of users by age and gender for products, showing the overall distributions and the individual user value for all of your users.
​ Read the documentation

Tables layout in the semantic view can be saved and retrieved.

So whether you prefer star schema or tree, you can arrange the tables in your preferred way.

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Our new heat map layer is here, as our 4th map layer - extending geospatial analytics. Our heat map is highgly customisable, enabling color customisation, multiple ways to adjust scale and intensity to match the meaning of your data, creating a familiar map experience for all of your users. Read the documentation

Advanced calculations now have descriptions in tooltips for each component, making familiarisation effortless. We've renamed a couple of components to make it easier for you. Thank you all for the early feedback!

Enhanced labeling has arrived at the line and scatter chart 🙌

We all know we can't label every data point, otherwise we'd not be able a thing, they'd all overlap! We've introduced super smart labels that will never overlap. Understand the shape and scale of your data at a glance with our smart labels without relying on aligning with axes, gridlines, or tooltips. - great for scheduled reporting!

We have a new unified approach to searching across various elements, including tables, schemas, data views, workbooks, connections, and user information. This functionality spans both frontend and backend operations, facilitating efficient navigation and data manipulation within our system. Our search uses pushdown SQL, which runs ultrafast, super flexible and always up to date. Find exactly what you are looking for, searching from hundreds to even billions of rows.

The example below - you can try it out here on our gallery by adding a new filter. Condition Description

To learn more about searching in filters, check this article.

Ideal for citizen developers, our new designer role offers access to create and edit workbooks without the ability to manage data connections and views.

Let your creativity flow, working on unchanging governed data, using already created dimensions and measures.

Gartner: A citizen developer is an employee who creates application capabilities for consumption by themselves or others, using tools that are not actively forbidden by IT or business units. A citizen developer is a persona, not a title or targeted role. They report to a business unit or function other than IT.

We're excited to announce a significant update to our bookmarks feature! With the new Bookmarks Panel, users now have the ability to organise their bookmarks more efficiently using a folder structure.

Creating and Organizing Bookmarks:

This update is designed to make bookmark management more intuitive and structured, allowing you to navigate your saved sites with ease.

in-chart 📊 advanced calculations in your analytics:
📆 Period on Period (# or %) for comparative analytics.
📈 Moving Averages for powerful trend analysis, filtering out the noise in the data
📶 Running/Accumulating Total - transform monthly sales into a visible YTD total visualization.
Implemented with just a click in the UI by any business user: no scripting Astrato writes the SQL for you.

To learn more about advanced Chart calculation, check out this article.
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The experience working with variables just got so much better. Enhancements include:

The new frame properties panel consolidates all the common properties of visualization in one place, making it easier and quicker to customize the visualization display, including new properties such as precision size and position.

To learn more about the frame properties panel, check out this article.

Titles and subtitles are important parts of the story a visualization tells.
With the frame properties panel's introduction, all visualizations in Astrato now support titles and subtitles.

Action blocks can now be copied between workbooks; this new feature will speed up data app development and reduce repetitive tasks.

Double click the object or group in the layers panel to quickly rename it.

In this release we added new capabilities to lots of the action blocks, see below on what have change.

Invert block is now the Not block

The invert block has a new label Not to make action chains more readable. The Not block changes the boolean input, if the value is true to false and if the value is false to true.

Variables blocks

The get and set variable blocks now except a block that outputs a string value for the variable name input. This makes it possible to reference variables by name, to support more advanced use cases.

SQL blocks

The SQL blocks have been updated with new labels to improve readability. The schema input has been removed from the Execute SQL block.

The Execute SQL blocks now except a block that outputs a string value for the variable name input. This makes it possible to reference variables by name, to support more advanced use cases.

The Write-back block

The write-back block now except a block that outputs a string value for the Field name input. This makes it possible to reference fields by name, to support more advanced use cases. The block has also got an new distinct color to improve readability and set it apart from other blocks.

Aggregate block

The Aggregate have improved labels for better readability.

Report blocks

The Report blocks has a new distinct color to improve readability and set it apart from other blocks. The open report block have new capabilities.

Use applied filters - If set to true the current applied filters will be passed to the report when it's generated. With this Astrato now support On demand report generations and truly dynamic cyclic reporting.

Max resolution (px) - Use this setting to control the height and width of the report. Depending on the aspect ratio of the sheet, the max resolution will be applied to the height if the aspect ratio is higher than wide, or the width if the aspect ratio is wider than high. If no aspect ratio is set on the sheet, A4 Landscape will be used.

DPI factor - Use 2 to double the pixel count when the report needs to be printed on paper. This affects the size of the report and the time to generate the report.

Our new Sankey chart gives users a view of data flow between dimensions.
Sankey chart insights identify the significance of a path that connects all the dimensions in the chart.

Sankey chart common use cases are:

When a workbook is deleted, it can only be viewed in the "removed" tab of the user who originally created it. If someone other than the creator deletes the workbook, they won't see it in their "removed" tab. Additionally, if the creator has left the tenant, they won't see the deleted workbook, but if they return to the tenant before it's hard deleted, they will still be able to view it.

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Variables can now be used to drive reference lines.

💡 Use case: Data driven reference lines

Variables in Astrato are extremely powerful, even more so when combined with actions and visualizations, enabling new ways of dynamic data storytelling. In under 60 seconds, see how we use variables as part of our own Astrato workbooks.

We have improved the workbook editor experience by making object management and identification easier. This will make identifying objects for use in Actions and Astrato AI Insights, and more, as we continue to grow the capabilities in the product.

Embeds are now even easier to manage, with expiry enabled and a description to describe each use case.

ℹ Expiry and description cna be updated at any time, including for pre-existing links.

Our new map object has layer based visuals, with support for various geo-data input types.

Our new Waterfall Chart enables many use cases for analyzing the flow from a starting measure to an end measure.
Some use cases are:

You can now add workbook directly to your workspace, from our data apps gallery.

It is now possible for owners to self-manage the transfer of ownership of an Astrato workspace to another user.

For more details on how to use a Word Cloud visualization check out this article

Loader animation added to embedded objects, sheets and workbooks. This is the existing loader animation which appears in native objects/workbooks.