Changelog

This update introduces a new feature where enabled filter variables are now visibly displayed in the widget variable indicator. This enhancement provides users with a clearer understanding of the active filters applied to their data, making data analysis more transparent and efficient.

The data processing capabilities of Resplendent Data have been optimized for greater efficiency. This behind-the-scenes improvement means faster data handling and smoother user interactions, ensuring a more responsive and seamless experience when working with large datasets.

A significant improvement in this release is the implementation of user-specific active filter views on dashboards. Now, when a user makes changes to a dashboard, it does not reset or refresh other users’ active filter views, allowing for a more personalized and uninterrupted workflow.

This update addresses a critical bug where widget drill-downs would malfunction if the widget was a bar type and one of the bars lacked data. This fix ensures that all widget types function correctly, regardless of the data presence.

Previously, shared links occasionally failed to display filter variables. This bug has been fixed, ensuring that shared links now consistently display all relevant filter variables, enhancing the accuracy and reliability of shared data insights.

An issue where filter variables would not remain applied after refreshing the screen has been resolved. Users can now expect a more consistent experience, with filters staying in place even after a screen refresh.

The threshold sound notifications have been updated to respect the set repeat intervals. This fix enhances the functionality of auditory alerts, making them more reliable and in line with user settings.

Navigating through extensive data is simpler than ever. When you click on a chart with over 500 rows, you now have the option to load ALL the data in the drilldown, providing a comprehensive view without the typical restrictions.

Your workflow just got more efficient! You can now sync your Coda docs directly with Resplendent, allowing seamless data transfer and enabling you to showcase this data on your dashboards effortlessly.

We’ve added more depth to your custom widget functionalities. Now, you can perform a direct count of rows in your data stream, making data summarization and trend identification faster and more accessible.

Our ConnectWise integration is now richer, with added support for custom fields in multiple datasets including time, agreements, projects, companies, and contacts. Furthermore, we’re introducing the timesheet dataset, broadening the scope of data you can analyze.

Gain a clearer view of your data adjustments with our enhanced preview feature in the ‘find and replace’ modifier. It now specifies what column is being replaced with what value, removing guesswork and enhancing accuracy in data manipulation.

In our commitment to ensuring a smooth and intuitive experience, we’ve addressed several bugs, including:

• Fixing the erratic behavior when the primary key and ordering key were the same in database connections.

• Rectifying the issue that prevented the copying of joined datasets.

• Resolving an error caused by setting default filter variables to all variables.

• Enhancing the UI of the joined dataset editor for a better user experience.

• Ensuring that updates on base dataset links are reflected on the joined dataset links.

• Addressing data type inconsistencies in joined datasets, particularly when all values were NULL.

• Making sure that default filter variables remain consistently applied.

In our quest to enhance your data manipulation capabilities, the Modified Dataset editor has evolved. Users can now select multiple columns for aggregation in their datasets. This advancement provides a more nuanced approach to grouping data, thereby allowing for more complex and rich data analysis.

Creating templates is now more robust than ever! We’ve fine-tuned the process, enhancing stability and reliability. This improvement means less time troubleshooting and more time producing impactful, creative data visualizations.

We understand that real-time data changes are crucial to your decision-making processes. Thus, we’ve bolstered the connection stability between widgets and data updates on dashboards. This enhancement means you’re always looking at the most current and reliable data.

Our dedication to creating a seamless user experience has led to several bug fixes, including:

• Correcting the issue causing the dataset rows-to-pull dropdown to reset post-options menu navigation.

• Resolving the glitch preventing the share link dialog from saving changes to filter variables.

• Addressing multiple bugs related to filter variables, enhancing their stability and functionality.

• Fixing the handling of null values in virtual columns to prevent errors when dividing by zero.

• Eliminating a bug that incorrectly flagged excessive rows in the drilldown view on widgets.

• Addressing the challenge with column labeling in Unions within the Join Dataset editor.

• Resolving the bug that incorrectly converted non-dates to dates in drilldown tabs.

• Correcting the issue preventing the drilldown tabs from categorizing correctly without the x-axis column.

• Rectifying the slight off-center alignment of the dashboard grid during editing.

Each of these fixes contributes to a smoother, more reliable user journey, from dataset manipulation to dashboard visualization.

Users can now export data from table widgets directly to a CSV file, making it easier to manage and analyze your data offline or in other platforms.

We have added an experimental UNION ALL option to the join dataset page for those looking to combine datasets seamlessly. This feature is in its experimental phase and we welcome your feedback on its functionality and utility.

Users now have the ability to pull more rows for their data streams, even when opting for smaller batch sizes. This enhancement is aimed at providing more flexibility and control over data retrieval and visualization.

We’ve refined the widget drill-down tabs—they are now in alphabetical order and format dates properly, making navigation and data reading more intuitive and user-friendly.

We’ve fixed a bug where clicking the share button on the all dashboard list would navigate users to a 404 page.

New users can now see the option to join datasets. This bug has been fixed to ensure everyone can fully leverage the platform’s capabilities.

The charts no longer alter colors randomly, providing a more coherent and reliable visual representation of your data.

If you’re using a filter variable on a widget, we now show the correctly filtered version of the data in the drill down.

We’ve resolved an issue where the Find and Replace modifier wasn’t filtering NULL values from its results.

Setting the theme for a dashboard share link now actually sets the theme, eliminating any mismatch and ensuring consistency.

The delete button is now visible in the join datasets page when a dataset hasn’t been chosen, smoothing out the user interface experience.

We’ve fixed a bug where share links would start sending invalid requests if the dashboard lost connection to the backend for a few seconds.

Our Advanced Filter Value UI has been rejuvenated, combining visual appeal with functional excellence, making your navigation experience smoother and more intuitive.

The Joined Datasets feature has been upgraded, opening the doors to upcoming sophisticated functionalities designed to boost your data manipulation prowess.

We’ve refined the dashboard copying process, ensuring every element is perfectly aligned and meets your expectations.

Any inconsistencies in our Dashboard Templating System have been ironed out, establishing a stable and reliable environment for creating your templates.

The process of renaming Sync Agents is now seamless and free of errors, with the resolution of the disrupting bug.

• Two Mode: Filter variables now sport both ‘Multi’ and ‘Single’ modes. ‘Multi’ lets users activate multiple values for a single variable on a dashboard. With the ‘Single’ mode, users will benefit from a streamlined dropdown menu, allowing the selection of just one value for a filter variable.

• Global Defaults for Admins and Staff: Now, admins and staff users can set a universal default for filter variables. This default will be automatically applied for all users on a particular dashboard. However, individual users retain the flexibility to modify their active variables and can always reset to the default if necessary.

Time zones can often complicate data interpretation. With the new global timezone setting for Modified Datasets, you can ensure that your time-related tasks and computations, like calculating the business hours between two dates, are precise and consistent.

We’ve refined the filtered timespan advanced value, offering a more reliable and efficient experience.

To make navigation smoother, single select variables are now prioritized at the top. Moreover, the values within filter variables are sorted alphabetically, streamlining the selection process.

• Resolved an issue where saving a dashboard redirected some sharelink users to a 404 page.

• Addressed a bug that displayed filter variables even after their removal from all associated widgets and filter views on a dashboard.

• Fixed a glitch which occasionally made filter variables vanish from the filter variable config after adding the variable to a filter on the dashboard.

Calculating time deltas between dates is now easier than ever with the addition of a new advanced value to virtual columns. This helps users to compute the time span (in weeks, days, hours, or minutes) over a filter on a widget. The application of this feature will be significant in understanding the time-related dynamics of your data.

To increase the clarity of the impact of filter variables, we’ve added an indicator that will show whenever a widget is being affected by the filter variables. This ensures better visibility and understanding of your filter variables at work.

As always, improving stability and fixing bugs are top priorities. In this update, we’ve managed to tackle several important issues:

• Resolved a bug that prevented filter views from showing up in the share link creator.

• Fixed the issue that made saving share links break.

• Corrected a bug that stopped filter variables from deactivating when a filter view was changed.

• Addressed some visual inconsistencies on the profile and search screen.

• Solved a problem that prevented SmileBack data from refreshing.

• Along with these, various other minor bugs were fixed to enhance your overall experience.

Our widgets now include a percentage calculation type, enabling users to quickly ascertain the percent of rows that match a specific filter. This new function enhances data visualization and empowers users to make informed decisions.

We’re making progress in our templates feature and are on the brink of releasing it. Stay tuned for this powerful addition that will further simplify dashboard creation and customization.

Filter Variables have been upgraded! They now support all comparison types, not just equals, adding flexibility to your dashboard interaction. Plus, Filter Variables can be assigned to share links, enabling you to share specific data sets with others based on selected filters.

Ever needed to break down a comma-separated column into individual rows? Our new explosion function lets you do just that. With this, computations on individual values become a breeze.

With user experience at the forefront, we’ve made vital enhancements to the dataset editor, simplifying data manipulation and boosting efficiency.

We’ve refined the storage methods of filter variables to ensure smooth operation and easier management.

We believe in a clean, bug-free environment, and in this update, we’ve addressed several issues:

• Fixed a bug causing the deletion of data streams to get stuck in a loading state.

• Resolved an issue that made charts not show when changing filter variables.

• Addressed a problem affecting the joined datasets upon deletion of the secondary dataset.

• Eliminated several minor but pesky bugs.

Taking dynamic customization to a new level, we’ve introduced Dynamic Filter Variables. This feature allows you to create a variable, assign values to it, and then attach this variable to filters in a widget or Filter View. This means you can dynamically change what values are active on your dashboard with ease using the new Filter Variable configuration menu. This feature is still in beta and may have some issues, but rest assured that we’ll have them worked out with the coming updates.

For those who display their dashboards on kiosks or other standalone displays, you can now add the query parameter “fullScreen=true” to make the dashboard appear in full-screen mode. This ensures your dashboards maintain their full-screen appearance even after a refresh.

We’ve added the ‘licenseClass’ column to our ConnectWise members dataset, offering further insights into your team’s capabilities.

We noticed that loading dashboards on sharelinks was causing timeouts for table widgets. We’ve optimized this process significantly to make the experience smoother and faster.

Our menu tables across the UI have undergone a facelift. We’ve made more space and optimized layouts, making the tables easier to navigate and work with.

We’ve fixed a bug that was preventing existing datasets from being saved under certain circumstances.

We fixed a bug that hid virtual columns on a widget if the modified dataset, from which the virtual column originates, had been saved multiple times without ever being assigned to a widget.

We fixed an issue where the grid would expand on the x-axis in edit mode, allowing widgets to be placed outside the dashboard.

We’ve addressed a bug where the password recovery screen would break when a user hit the enter key.

We’re launching a feature that allows users to compute columns together directly in the widget, thereby giving you even more control over how your data is presented. Keep an eye out for an upcoming tutorial on how to best utilize this powerful new feature!

If you change the name of a virtual column in a modified dataset, the column name is now automatically updated in all widgets that use the virtual column. This streamlines your workflow and ensures consistency across your datasets.v

We’re handing more power over to your team members! Users with member-level permission can now change filter views on a dashboard.

While the widget editor is open, we now unsubscribe to data changes. This prevents unexpected changes and ensures you have a smooth editing experience.

We’ve optimized the dashboard loading process, resulting in dashboards loading much faster. Quicker access to your dashboards means quicker insights!

We’ve fixed several UI bugs associated with the new virtual column UI for a seamless user experience.

A bug causing Smileback to reset data after several syncs has been fixed.

Fixed a bug that wasn’t unsubscribing data when leaving a dashboard, ensuring your dashboard data stays as expected.

Great news for users of our ConnectWise integration! We’ve added a new dataset called ‘purchase orders,’ which will allow you to pull purchase order data directly from ConnectWise. This new addition will provide more comprehensive data for your analysis.

We’ve worked on our data processing functions and made them more efficient. In some cases, they’re now more than twice as fast! This means you’ll get your insights even quicker.

For widgets that use a delimiter, such as a comma, the filtering process has been improved. It now works on the delimited data instead of the whole column that’s being delimited. This fine-tuning allows for more precise data selection.

We’re also excited to announce that we’ve made some under-the-hood upgrades to our templates. We are preparing them for common use, and an ETA will be announced soon. Stay tuned!

We’ve fixed a bug that caused layout disruption when copying widgets from one dashboard to another. Now, the widget placement will remain consistent.

We’ve addressed some issues related to the custom calculation column to ensure its reliable functionality.

We fixed a bug that made no columns selectable in a widget after copying a data stream setup. Now, columns will be available without needing to close and reopen the widget.

We fixed an issue with the ‘only business days’ calculation in virtual columns that caused values to go negative when the difference between two values was less than a day.

We addressed a bug that caused clicking on a bar in a chart to open the incorrect tab in the drilldown.

You now have the ability to create a custom column within your widgets! By choosing a calculation type such as Sum, Average, Median, Min, or Max, and then toggling the custom column feature, you can combine columns to create a single value. This functionality lets you, for instance, multiply a decimal column by 100 to get the percentage value.

We’ve expanded the available columns in the Resplendent Tickets View dataset to include Detail Notes, Internal Notes, Resolution Notes, and Has Resolution Note.

We’ve boosted the speed of our widget editor, making quick edits smoother and reducing the risk of freezing.

The “No X-Axis” button has been renamed to “Use Data Stream Label,” better clarifying its function.

We’ve carried out a significant overhaul of the virtual column UI to make it more compact and user-friendly.

We’ve corrected an issue that was preventing a modified dataset from being saved if it didn’t have a widget assigned to it.

A bug that turned the widget data status dot black if a widget was missing some configurations has been fixed.

We fixed a bug where creating a new widget prevented users from selecting columns.

We’ve addressed a bug where standard line charts without data labels enabled would show the leading dot on the back of the line instead of the front.

We’ve fixed an issue where copying a data stream in a widget would prevent users from selecting columns on the copied version of the data stream.

To enhance the user experience, we’ve introduced an icon on widgets that indicates when they’re displaying preview data. This icon appears after a widget or a modified dataset is saved, providing immediate clarity about the status of the data being viewed.

To boost platform stability, we’ve made minor yet essential improvements to our templating system, ensuring its efficiency and ease of use.

Addressing an important usability issue, we’ve fixed a bug that caused a delay in widget rendering until data was refreshed. Now, widgets will render immediately for smoother visualization.

We’ve tackled a bug that incorrectly prompted users to sign in when accessing shared links following a dashboard edit and save. This fix ensures uninterrupted data sharing and collaboration.

Line widgets now include an option to overlay the most recent value on top of the chart. This is particularly useful when you want to focus on the latest data point while still maintaining historical context.

We’ve added a full-screen mode that hides the header and sidebar, enabling you to view your dashboard without any distractions.

Drilldowns now support dates. When you click on a point in a line chart, the drilldown will filter the data to only show data within the time window of that point.

To better serve you, we’ve added a feedback button in the header. You can provide feedback on any screen, and we’ll receive logs of any issues leading up to the point of your feedback.

Now, after saving a widget or modified dataset, you won’t have to wait for another sync for the data to be available. The data will be reprocessed immediately with the new filters.

Collapsing the sidebar while viewing a dashboard now resizes the dashboard to fully utilize the available space.

We fixed an issue where number widgets with thresholds only triggered the threshold if the value exceeded it. Now, the threshold will be triggered when the value of the widget meets the threshold.

Fixed a bug in the action tables on the All Dashboards and Data Streams page. Previously, searching after switching to the second page of the table would cause the table to malfunction.

We’ve resolved some issues with our bug tracking to make the process more efficient.

We’ve introduced an option that allows you to prevent a widget from being muted.

For easier filter creation, column names are now sorted alphabetically, and users can search columns within advanced filters.

We’re proud to announce that we’re now officially registered and verified with Google for our Google Sheets integration.

Users can now opt to sort bar and pie charts alphabetically by their labels.

Advanced copying for widgets now defaults to copying to a new dashboard for better organization.

We’ve fixed a bug that caused table widget data to disappear randomly.

Fixed a bug that prevented the first x-axis label on time-based charts from displaying.

Addressed a data processing bug in our large data processing backend.

Fixed a bug that was preventing snapshot widgets from showing an x-axis in certain circumstances.

We’ve fixed the global search function and re-added it to the header menu.

We’ve resolved some bugs with the conditional links in the modified datasets.

We’ve added Opportunities and Sales Order reports to our available ConnectWise datasets.

When using a snapshot widget with daily time increments, choose which hour it takes the snapshot in the day.

We’ve updated the process for downgrading subscriptions for smoother transitions.

For smaller widgets, all action buttons in edit mode are now placed inside the menu to prevent cut-offs.

Filter views now maintain their positions during renaming for more consistent navigation.

The mute button now only appears on widgets that have a sound selected, and the snooze button only displays when a widget is playing sound.

We’ve clarified the radio buttons for selecting when a sound is played to say “Greater than or equal”/”Less than or equal.”

Added padding around link widgets in edit mode, making them easier to resize and move.

Now, when applying a template, the template will use existing datasets instead of duplicating them.

We’ve streamlined the process of creating templates for our template makers.

Fixed a bug that prevented widget sync dots from turning green if a widget was based on a Joined Dataset and was set to a 5-minute interval.

Initial saves of any dataset now properly save the selected data types for columns.

Fixed an issue where the notification wouldn’t dismiss if the initial sync pulled in less data than the selected batch pull size.

Users can now link and sync any online Excel worksheet to their dashboard.

Added a select all/deselect all feature to several multi-select dropdowns throughout the UI.

Users can now set another column’s link depending on the value in a column.

Line and bar widgets now support a time increment of a Quarter.

We’ve updated the backend process for virtual columns, enhancing their reliability.

Completely overhauled our OAuth2 handler for improved reliability with OAuth2-based integrations and faster development for new ones. Our current OAuth2 integrations include Microsoft Excel, Google Sheets, and SmileBack.

Fixed some issues with the templates, and we continue to test this feature for further improvements.

Fixed a bug in Joined Datasets that caused links to point to the wrong columns when more than one dataset in the Joined Dataset had links.

Fixed a bug that would break filters if the copy button was used.

Added the contact ID to enable joining the Resplendent Tickets Dataset with the ConnectWise Contacts dataset.

• min_to_respond_goal

• min_to_resplan_goal

• min_to_resolve_goal

• percent_of_respond_goal

• percent_of_resplan_goal

• percent_of_resolve_goal

These fields will help users monitor how close SLAs are to being breached on any given ticket.

Implemented small performance boosts in data processing.

Added a feature that checks for new data pulled from a given data source. If no new data is detected, re-processing will not occur for up to 5 minutes, after which a forced re-process will happen.

Resolved an issue with selecting time increments greater than a day, which caused improper data point display.

Fixed a bug that prevented users from comparing number-based columns to a NULL value.

Addressed a bug where only the first column with a duplicate name in a joined dataset would get a link. Now, all links in a joined dataset point to the correct columns.

Fixed an issue that prevented users from changing the value column after the widget was saved.

Resolved a bug where the syncing notification would get stuck if a dataset didn’t support pulling old batches of data.

• Users can now upload their own .wav sound files to their accounts.

• Sound files can be assigned to specific widget thresholds.

• Users can choose whether the sound plays once when the threshold is hit exactly, or when the data is above or below the threshold.

• Optionally, the sound can be set to play on repeat until the threshold is no longer met.

Enhanced stability and performance of Joined datasets, making it easier to combine and analyze data from various sources.

Fixed several bugs related to our Joined datasets feature, ensuring a smoother and more reliable experience for our users.

Implemented various minor bug fixes, further enhancing the overall performance and user experience of the platform.