Hi, We are facing some issues in the hour timezone related to builds. There's no way to change the UTC setting for the build schedule. It's very confusing and it's generating many issues in timezones when there are changes in the hour due to summer/winter time adjustments. We tried to change the timezone in the upgrade process, but the build schedule only works in UTC. This is a nightmare for data administrators. We need to be able to set the local timezone as the build schedule setting.  Best ... View more

It seems strange to me that each time I need to add another table to my model, I have to re-enter all the connection (or pick a recent connection). If i have 10 tables in my model, they all have their own individual connection information. If a server name ever gets renamed, it'll be a crazy headache for us. There should be a place where you define the distinct list of actual database connections (one per server or database), give it a name, apply security, etc. And then when you go to add a table to a data model, at that point you pick from the previously defined available list of connections. ... View more

When viewing a datamodel, there's a button to view as "List" instead of "Diagram". I sometimes use that when I need to methodically check each table. When I first open the datamodel the sort is arbitrary, so I click to sort by Name to go through them alphabetically. It'd be handy if it remembered my choice from my previous session. ... View more

When replacing a server, or testing an upgrade, we often find our clients taking a backup of their Sisense database and restoring it to another server. After updating the server identity in the mongodb, it's pretty much ready to go. However, use dashboards all reference the old server and have to be updated. This is a manual process that the users themselves one dashboard and data source at time. An administrator cannot easily do that work on their behalf. Acknowledging that there is a replace_datasource API call that allows you to apply a new server and data source to a single dashboard, I would love an easier a way to update just the server across all dashboards. ... View more

**Please note this idea was migrated to the Product Feedback Forum from older submission areas** User parameters must be set and cannot be used for dynamic customizations. When setting up data models, these parameters cannot be included as part of a filter in the underlying query. We would like a way to reference a global or system variable that includes the username of the currently logged in user. ... View more

It’d be nice to save the layout with the .smodel file. That way, I can group related tables together. Maybe also allow comments/colours/tags to show up on the UI. E.g. I could put payroll-database dimensions on one side in blue, operational-database dimensions in orange on the other, and facts in the middle. ... View more

I have a data model with lots of tables (more than 30). That makes the UI painfully slow, e.g. when editing relationships. I think the reason is that it’s calculating where to place them on the screen. I’d like to request an alternative, crude interface that doesn’t slow down for lots of tables. Or make it work for lots of tables – e.g. do the positioning calculations when first opening, but not each time I resize or click on something. ... View more

Hello, Currently the number of queries running in parallel during an EC build is set at the server level. With setting "Build / Base Table Max Threads" (4 by default). The optimised number of simultaneous queries is very much dependant on the context of the EC. For instance, an EC with 4 differents date source is more likely to accept a high number of simultaneous queries (spread over the 4 data sources), than an EC with only one data source. Therefore, I would like to suggest to make this setting per cube instead of at the server level. An alternative would be to have this setting at the Data Group level. Thank you and best regards, Franck   ... 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 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

Currently, it appears that Shared Formulas are displayed in the selection dialog based on the order they were created. It would be great if they can be arranged logically, or at least sorted alphabetically, otherwise the list can grow to become disorganized and difficult to use. ... View more

Currently, whenever a user starts a build in a cube, either everything is updated or only the changes that were made. It would be incredibly helpful to have the cube refresh only certain tables as indicated by the end user. ... View more

Perspectives is a great addition to the application and making only certain parts of the model visible to those dashboards connected to that perspective is excellent.  Adding the ability to filter the perspective is something that is required for many of the use cases we have.  For example, we have a model that has All Tickets.  We have many dashboards that have a locking filter at the top to show only Open Tickets which doesn't look good from a user and design point of view.  Being able to create a Perspective and not only be able to refine the columns but also filter to (in this example) Open Tickets only would greatly add to the power and usability of this feature. ... View more

When you export a datamodel to a .smodel file, the file includes connection information (server name, password, etc.). I would like an option to exclude that information when I click export. The export dialog already offers check boxes for Data Security, Scope Configuration, etc.; this feature could be just another one that says "Connection Information". Ideally, I'd like it to exclude the connection information by default, so users are forced to explicitly ask to include it, which will remind them to consider the file as sensitive. But I understand if you don't want to change default behaviour that other users are used to. When you import a model that has had this information removed, the import should let you to enter new connection information, or leave it as placeholders like Server=0.0.0.0 and password=Password so you can enter the information after importing. Sisense GIT already removes this information; this feature could work in a similar way. You could even deliberately make GIT's "non-tracked entities" all appear on the list of export options. GIT per this page: https://docs.sisense.com/main/SisenseLinux/asset-translation-and-management.htm?tocpath=Git%20Integration%7C_____3#Non-trac ... View more

Right now, if you're making significant changes to an existing cube, the only way to verify that you haven't broken something is to actually do a build. I'd like a Verify or Validate button, next to the Build button, that would do the initial steps of the build process and then stop.  For example, determine if the metadata in the table can actually be retrieved from the underlying data source.  Or checking datatype mismatches in existing joins.  And so on.  Just leave out the last step where you actually retrieve the full data set and then build the cube. This would save time during the development process. ... View more

Hello There, We need to create a data model with 2 different data sources . One databricks live and another one is an excel file with some additional data . We need to create a combined model so that we can join these two tables and get the result. Currently sisense does not support it and other providers like Power BI and Zoho supports this feature. This is a common use case for our scenario  ... View more

Hi, I have gone through your connection update process for live models. But As I discussed with sisense team, they don't have any single API for updating connection. As per current scenario we need to follow multiple steps like below:- 1. Get table by: GET /datamodels/datamodelId/schema/datasets/datasetId/tables/tableId. response => tableResult 2. Override table by PATCH /datamodels/datamodelId/schema/datasets/datasetId/tables/tableId} where body = tableResult from the step 1. Only after performing the above steps, you can use PATCH/datamodels?/datamodelId?/schema?/datasets?/datasetId to update the schema for this dataset. So I just want to proposed one idea here that we can use multiple option here like below:- 1. We can provide any Key Vault connectivity for each model where we can store our connection details and we can use them for our model connections. 2. We also can provide a single API where our connection can we updated for all relevant objects & model it self. ... View more

We need a view that shows us which dashboards are dependent on which table in the datamodel. We want to remove some tables, but because we have many dashboards we don't know where exactly that table data is being used so it's very risky to change/delete tables. The depedency granularity of the data model is good but not enough. ... View more

Currently, the aggregation function depends on the type of the dimension : - Text or date => Distinct count - Numeric => Sum In our use case, this default assignation is not always accurate as it is sometime required to use Distinct Count with numeric fields. It would be good to hauve the default aggregation function to be choosed by the cube designer, when developping the metadata layer (ElastiCube or Live cube). This way, the dashboard designer will be proposed the accurate function without need to change it. This is particlary interesting with a users population that don't have analytics background and for which choosing the correct agregation function is not obvious. Thank you ... View more