New Features and Improvements
Date Range Presets on Analysis and Dashboard Quick Slicers
While working in the Grid Analysis view or dashboards, adding a Quick Time Slicer now automatically configures
Date Range Presets
at the top of the selection. These presets enable fast and convenient selection of commonly used time ranges relative to the current date.
Since most data analysis and business intelligence scenarios focus on recent or up-to-date data,
Date Range Presets are designed to
help users quickly shift their analysis to the relevant time period (such as today, last 7 days, month-to-date, or similar ranges) without
manual date adjustments, improving efficiency and usability. It works for OLAP and Analytic Model data analyses. For OLAP, it works when adding a Time dimension with configured
'Time Intelligence'.
Date Range Presets on a Dashboard Header and Individual Charts
Date Range Presets can be applied to the dashboard header, enabling quick and consistent time slicing across all charts with a single click.
This removes the need for users to search for filters or manually adjust date settings, providing the most effortless and intuitive way to
change the observed period for data analysis.
Alternatively, Date Range Presets can be applied to individual dashboard charts, allowing users to control and adjust the date range
independently for each chart, offering greater flexibility for more detailed and comparative analysis.
Date Range Presets on a Calendar Picker
The Calendar Picker form now includes multiple Date Range Preset buttons, enabling fast and convenient navigation between commonly used date ranges in any analysis scenario.
In addition, the Calendar Picker user interface has been upgraded to improve usability, clarity, and overall user experience.
Date Range Presets buttons selection
In Dashboard Design mode, users can click the settings (gear) icon next to a date filter to configure Date Range Presets. Up to
eight preset buttons can be selected and displayed on a dashboard chart or in the dashboard header.
A default Date Range Preset can be easily defined by selecting it directly in the design view.
Line/Column Chart UI Improvements and Easy Comparison with the Previous Period
The Line Chart, a core visualization for displaying historical values, has been thoroughly redesigned and enhanced with numerous visual and usability improvements. One of the most noticeable updates is the introduction of gradient and inverse gradient fills, delivering a more modern and refined look and feel.
The gradient fill can be configured to display green or red coloring based on performance. Performance evaluation can be defined using several criteria, including comparison to the last value change, comparison with the previous period, or the overall trend of chart values.
With these visual cues, users can instantly understand whether performance is positive or negative in a given business context, allowing key insights to be recognized at a glance.
Comparison with the previous period can be enabled by selecting a simple checkbox in the chart options, provided the chart category is based on a time dimension.
Easy time-based comparison is now supported, enabling users to quickly compare results year-over-year, quarter-over-quarter, month-over-month, week-over-week, or against the immediately preceding time period.
Line/Column Chart Total and Delta Labels
A new feature introduces
Total and Delta labels for
Line and Column charts, providing additional context and insight directly on the visualization.
The
Total label can be configured (in chart options) to display one of the following values:
- the sum of all values,
- the last value, or
- the average of all values.
The Delta label can be configured to display the difference based on either:
- the last value change, or
- a comparison with the previous period.
These labels help users quickly interpret overall performance and changes without the need for additional calculations or drill-downs.
Card Chart UI Improvements and Easy Comparison with the Previous Period
The Card chart visualization has been further enhanced with gradient and inverse gradient fills, improved label styling, and overall significantly better visual quality.
A key enhancement is the ability for the central value label to display not only the last value, but also the sum or average, depending on the dashboard designer’s intent and use case.
Dashboards featuring the new Card and Small Card visualizations deliver a cleaner, more modern, and visually appealing experience. Additionally, users can choose to display previous period values for comparison and optionally enable red–green performance coloring, allowing instant visual understanding of positive or negative performance trends at a glance.
Value Labels, Point Labels UI Improvements and Series Statistics
Value labels can now be displayed inside a dedicated
value box, improving readability and clarity when charts contain a large number of data points.
For Line charts, the default behavior now highlights the
first, last, minimum, and maximum values, providing users with more meaningful and immediate insights into key data points.
Point labels have been enhanced to display values for all series simultaneously, eliminating the need to hover over individual series to view their values.
In addition, moving the mouse across the chart now displays a
vertical indicator line, allowing more precise and intuitive navigation across data points and making it easier to compare values across multiple series.
Comparison with the previous period is now immediately displayed within the point label when hovering over any data point on the chart, allowing users to quickly assess changes at a specific moment in time.
Additionally, hovering over the chart legend now automatically displays detailed statistics for the corresponding data series, including
sum, average, minimum, maximum, median, and trend, providing deeper insights without leaving the chart view.
Data Flow visualization with the Sankey Chart
Data values distribution (flow) among the members of multiple dimensions can be quickly visualized with animated Sankey chart.
Supose you are doing analysis of all members from multiple dimensions, you can quickly get grid values by expanding all members, but previously it was hard to get a sense of relations between expanded members and what member relations are dominant.
Anytime you have at least to levels of analysis, there will be visible "Flow" button that instantly transforms current values into Sankey visualization. After visualization is opened select a particular member to highlight its relations.
Data Flow visualization is now available in Grid Analysis view, allowing users to switch seamlessly between the traditional grid view and the flow (Sankey) view at any time.
This visualization can also be used on dashboards whenever multiple hierarchy levels are expanded on the grid axis, providing a clear and intuitive representation of how data flows across dimensions.
Please note that series-based data values are not supported in the Sankey chart.
Sankey charts added to dashboards can be downloaded as standalone files, making them easy to share, distribute, or include in presentations and external reports.
Date Dimension Automatically Created in Analytic Models
A single column containing date values is now automatically transformed into a
rich Date Dimension during
Analytic Model processing.
This enhancement eliminates the need to manually create or maintain date-related attributes such as year, month, or day. Instead, the system automatically generates a complete
date hierarchy (Year → Quarter → Month → Date), along with commonly used attributes including
Quarter Name,
Month Name,
Day of Month, and
Weekday.
All date hierarchies and attributes are immediately available after model processing, empowering users to quickly and effortlessly build powerful, date-based analyses without additional modeling effort.
OLAP Analysis Enhancement
Dimensions whose attributes or hierarchies are used on the category or series axes are now clearly highlighted in bold, allowing users to easily identify where each attribute is applied.
In addition, hovering over an added attribute now displays the dimension name, providing better context and reducing ambiguity when working with complex models.
Right-clicking on filters now opens an enhanced context menu with options to:
- remove an individual filter,
- remove all filters, or
- view Implicit Filters.
Implicit Filters represent hierarchies or attributes with a default member set to something other than the All Member, making hidden filtering conditions transparent to the user.
The display of Member Properties has also been improved, allowing users to adjust column widths for better readability and layout control.
UI Enhancements Reflecting on Mobile UI
All of the above user interface improvements and new capabilities are fully reflected in the mobile view, resulting in a smoother and more intuitive user experience.
In particular, the ability to change the observed date range with a single tap using Quick Date Presets, which can be configured on any chart, significantly improves usability and efficiency on mobile devices.