(Details undisclosed for security reasons) Important security improvements related to founded vulnerabilities. To enable this statement set appropriate text to the "DataProperietaryStatement" key in the web.config file in both Kyubit web application instances. The Data proprietary statement is configurable and visible at the bottom of all content exported from the Kyubit application (Excel, PDF, CSV files).įor example "This data, and any information derived from this data, can only be used for internal business purposes and cannot be used or shared externally without prior written approval of. For example, if the chart category is based on the 'Months' level, it could be quickly changed to show the 'Days' or 'Years' level. If a dashboard chart category is based on the hierarchy, now a user can quickly change category granularity and select a more appropriate hierarchy level for the data insights. This opens a new perspective on how end-users analyze dashboard data. Set 'Category' or 'Series' dimension in the dashboard design view > Tile > Options or by the end-user in the production view on the dashboard chart context menu. Set an alternative dashboard chart 'Category' or 'Series' dimension level for the existing analysis. As you scroll through the results the header is always visible. The new 'Table' chart header is fixed to the top (static). Open the existing analysis in the 'grid view' or a 'report view' with custom filters applied using the URL query string parameters. To get nice performance results on the expand all actions it is recommended to make sure that the analysis results do not exceed a couple of thousands of rows, after which performance gets slower. 'Expand All' on the Dashboard 'Table' chartĪ dashboard 'Table' chart can be used to display 'Expand All Analysis Mode' for OLAP and 'Analytic Model' data sources.This approach ensures that all dimension-level items will be expanded in the analysis, even if they were not existing at the analysis creation. 'Analytic Models' analysis also supports the 'Expand All Analysis Mode' in which all dimension levels added to the analysis will be automatically expanded (Previously available for OLAP analyses). Especially relevant if dashboard charts are based on some heavy load query or analysis. This results in faster dashboard creating, work in design view, and switching from production to design view and vice versa.
Dashboard smart caching/Faster Dashboardsĭashboards are using smarter data retrievals from the data sources and caching on the client-side.Optionally, select date filtering with a time axis that will present changes in the values through the time. New dashboard chart features allow you to select interesting date periods with 2 clicks on the chart. The most popular action for the average user when reading chart data is to quickly see the same data for some other period of time.
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