Current Functionality: The fiscal start year for an Elasticube can be set independently. Ex. in the elasticube fiscal year start is set as October. When a dashboard is connected to the Elasticube, the dates correspond to the Fiscal Year (FY) starting October. However, perspectives linked to this Elasticube default to a January fiscal year start. And there is no way to change the fiscal start year at the perspective level. Desired Functionality: When a dashboard is connected to the perspective, the dates should ideally correspond to the Fiscal Year (FY) in alignment with the parent Elasticube's settings or there should be an option to configure the fiscal start year exclusively for the perspective. Importance: This enhancement is significant as perspectives are being explored to enhance data and analytics implementations using Sisense.    ... View more

It would very helpful to be able to see the columns of a table in the Table Query section of the MySQL query build. Currently it just list the tables and you have to open another table then preview the table and scroll sideways to see the available column. You could create this in a tree view like SQL Sever does. This would help query writers by being able to see what columns belong to the tables, I included what SQL Server does for reference.   ... View more

We have reports/dashboards based on a large underlying table. Thus, when a user tries to run a dashboard for a long date range which would result in many rows being processed, the dashboard may take time to load. It will be helpful, if there is a way to get the size of result set that will be executed using the query plan. Using that estimated size, we can compare the size to a threshold size defined for the dashboard and if the estimated size is greater than the threshold, the user can get a popup message which will indicate the result size being too large will impact the dashboard load time. Thus, in this case, the user can alter the filters to reduce the result size if it wants the results sooner or else will be expecting the results to take time due to its size. ... View more

Request: Provide a standard way for supporting multi-currency support. Use Case: Enable end users to create widget and dashboards where they can switch between multiple currencies. Background: There are various posts on how to implement multi-currency by adding an exchange rate dimension and using a formula similar to Local Amount = (Amount Field) * (Exchange Rate) and using a filter to select the desired currency (E.g. USD, EUR, GBP). This process works well when you have dashboard designers, but it doesn't work well if you want end users to create their own reports.  If they do things wrong the Amount may be multiplied by the number of currencies supported. They are required to enter a formula instead of simply selecting a field to report. Recommended Solution: Add ability to add Formula fields to the data Model.  The data designer would create a standard field with the formula.  The formula would be evaluated within the dashboard not during cube build.  Note: there are probably other uses cases for data model defined Formulas that are evaluated within the dashboard. Add ability for automatically adding the Currency filter when the data source is used. ... View more

I have previously worked with Periscope and found the SQL Snippets tool to be very helpful (https://dtdocs.sisense.com/article/snippets#:~:text=To%20create%20a%20SQL%20snippet,button%20and%20name%20the%20snippet.&text=Snippets%20with%20these%20characters%20included,the%20box%20and%20click%20save.) Now my team use Sisense Fusion and we still have a need for this tool, despite it not being a feature in Fusion. We hope to have it available in the future.  ... View more

Regex is of course supported when querying through the import MySQL query, but custom Sisense tables do not support regular expressions. It would be useful to have regex functionality in custom tables and custom columns as well. ... View more

Add the ability to adjust the BaseTableMaxThreads at the Data Group level. This will allow for "right sizing" memory allocation that is consumed during the build process.  For example, I have low priority elasticubes residing in the default data group. High priority elasticubes reside in a "High Priority" data group with custom settings for "Stop When Idle", RAM, etc. Currently, our environment is configured to load 3 base tables concurrently (BaseTableMaxThreads  = 3). This setting impacts both high and low priority data groups. I want to be able to set my low priority data group to only load one table at a time (BaseTableMaxThreads  = 1) to reduce memory consumption on the server during builds. I want my high priority data group to continue loading 3 tables at a time. The trade off is the default data group will load data slower but will consume less memory/CPU during builds, freeing up resources for the high priority data group. ... View more

Currently the way the Sisense creates its query for dashboards, is it creates a common table expression for each entity created in the data model. Then applies the date filter after the join between the CTE.  During this process, it looks like its scanning the entire table of the CTE, which can be problematic if the underlying table used in the CTE is really large.  It will be better if the filter for dates can be applied within the CTE for such large tables, thus avoiding large table scans and help load the report faster. Is there a way this can be achieved by altering the design of the data model? or are there any plugins to support it? ... View more

See pictures. Or go: 1. Open datamodel. 2. Click the Dashboards dropdown. 3. Click Open Dashboard. It lists dependent dashboards. But it includes only dashboards where this data model is the "primary" data source. That is dangerous. It made me think that "No dashboards are available for this model" and I nearly deleted the model. The list should show all dependent dashboards. I will use the API to check dependencies in future.         ... View more

Allow users to customize and set their preferred date format across the entire application interface. This feature would enable the seamless adjustment of date displays to match regional or personal preferences (e.g., MM/DD/YYYY, DD/MM/YYYY, YYYY/MM/DD), ensuring a consistent and user-friendly experience. Admin will have the ability to select their desired format once, and the change will be reflected globally across dashboards, tables, and all date-related elements of the UI. ... View more

In Sisense, under the Data tab, there’s a queries tool that displays information such as a cube’s title, size, and status. However, creating a query does not update the page URL, so you cannot use your browser’s back and forward buttons to navigate to it.   Omer London BigPanda ... View more

We have found that if an ACL in a WAT does not match the Elasticube table/column security field, it defaults to providing 'all data'. To avoid a potential human error where a table/column has been renamed, we would like the default position to be 'nothing'.  ... View more

In my datamodel, I want to delete 10 tables with names ending with "MySpecialSuffix". So, I go to datamodel list view and search for "MySpecialSuffix". I click delete on the first table. But then it loses my filter. So I have to re-type my filter for each table I want to delete. ... View more

See here: https://community.sisense.com/t5/technical-troubleshooting/refresh-schema-error/m-p/23594#M195 Refresh Schema fails when you have tables from two different schemas. ... View more

When editing a cube or live data source, I'd like to be able to more quickly add another table.  Right now, you click on the  +DATA button at the top, and get presented with all the historical connections, etc. Instead, what if you add an "Add Table" button inside the Data Sources panel?: That is, under the triple dots in red, have a new option to quickly reuse that connection and add another table. Then you'd avoid the proliferation of connections, also (the yellow connection list, in my example). ... View more

There are many scenarios where a model contains data for many distinct groups, such as customers, and you want viewers to only have access to the data that pertains to their specific customer. This is easily implemented with row level security, when there is a data column that uniquely identifies each customer. But what if you have a requirement that certain types of viewers should see all columns of data per row, while others should not have access to certain columns? Here is an approach that can be implemented right out of the box in Sisense. The one prerequisite is that any table that contains sensitive data must have a column that uniquely identifies every row, i.e. a primary key column. For every table that contains sensitive data in certain columns, create a new table that contains the original table's primary key column, a binary "switch" column with a name like [Access Allowed] and a column for each of the sensitive columns. Remove the sensitive columns from the original table. Modify the import query to load only the non-sensitive columns in the original table. Modify the import query to load the new table with the primary key and sensitive columns of the original table twice, once with [Access Allowed] set to 1 and the second time with 0 and blank (or null) for all the sensitive columns. Associate the new table to the original table by primary key column Create a dimension table for secure access with the column [Access Allowed]. One row with value 0, one row with value 1. Associate the dimension table with the sensitive data table by the [Access Allowed] column. Set up a data security rule on this column, assigning the secure user group to value 1 and the general group to value 0 If there is a hierarchy greater than two levels of column-level data security, this model can be extended to create additional one-to-one related tables to the original table. ... View more

When creating a new table in an Elasticube, the area to write code into takes up a fraction of the screen space. Please make the pop-up to write code for tables stretch across the whole screen so users can see more lines of code at once. Or make the pop-up window adjustable so we can move it to be as big as we like.  ... View more

A nice feature in Microsoft SQL Server is the ability to see multiple data sets from queries in stacked windows. Currently only one query can be executed at a time and only display that one query's data set. It would be nice to be able to compare data by having multiple data sets appear at the bottom. Currently I have to open multiple browser windows to compare values and it can get a bit busy. It would be nice to compare 2 or more queries in the same window. Select * from table 1 where id = 123 Select * from table 1 where id = 456 data set for id = 123 data set for id = 456 ... View more

We propose adding a valuable feature to our dashboard UI: the ability to export a comprehensive list of all data models, including both Elasticubes and live models. This enhancement is essential for efficiently monitoring model changes before and after Sisense upgrades. Presently, this process involves manual actions like taking screenshots or exporting a text file using 'si' commands, but it lacks the capability to export live models and essential metadata such as data model type, owner, last modification date, last publication date, activity, and size. By introducing export functionality in formats like CSV, users will be equipped to easily track and compare models, quickly identifying any discrepancies or replacements. This improvement will significantly streamline model management and ensure seamless transitions during upgrades. ... View more