The idea of this is so you could show the elasticube data on the primary axis, and then potentially low latency data on a secondary axis - allowing easy comparison of live vs historical data ... View more

At the moment, the caching period of live models is set for the whole instance which removed flexibility where you'd want the caching period to be different for exceptionally large models.  For example, we have a table we have to ingest via a live connection as it is too big for elasticubes - but wouldn't want the caching period for this live connection to be too "low" as it would cost a lot via AWS.  However, we would want a low caching period for low latency reporting ... View more

Summary: Live Model slow, can be fixed by prioritising a filter I use a Live Model to return info about a few records from a big dataset. One filter should efficiently narrow the big dataset down. But the server sometimes applies other filters or joins first, making it unusably slow. I want an option to tell the Live Model to fetch the important filter's items first, and then write those items into the filtering clause when writing the main query. That will cause the server to correctly discover that applying the important filter first is the most efficient query plan.   Details (I'm querying SQL Server, but I suspect other sources would also benefit.) Sisense documentation says "Analytical Engine inserts filtering clauses into the innermost SQL statement. This means that filtering is the first operation performed". Sometimes that helps performance. But it depends on the source server. If you apply multiple filters or joins, the server may decide to perform a less efficient one first, or it may parallelise. In my case, my query went from a few seconds to over an hour depending on the server's choice.  The problem is that the server can't estimate the cardinality of the "filtering clauses" entered by Sisense. For example: The server doesn't know that my "dimCustomer.[Customer Name] = 'Joe Bloggs'" filter returns only 100 rows from my fact table, whereas "dimDateTime.FiscalYear = 2022" returns 100,000,000 rows from the fact table. There is a solution. Instead of "Where Fact.[Customer ID] In (Select [Customer ID] From dimCustomer Where [Customer Name] = 'Joe Bloggs')", Sisense should first run the query Select [Customer ID]... query to find that Joe's ID is 5. Then put the result into the filtering clause, i.e. "Where Fact.[Customer ID] IN (5)". For a hardcoded ID like that, the server can estimate the cardinality, so it sees that filtering on [Customer ID] first will be more efficient that other query plans. Sisense mustn't just do that for all filters. If it tries prefetching "dimDateTime.FiscalYear = 2022", that'll return all 31,536,000 seconds, and then pass that back in the query as "Where Fact.DateTimeID IN (...)".  Solution: The solution I request is: Allow the Live Model developer to set a "Prefetch Filter Items" flag on a field. If it is set, when a widget or dashboard filters that field, then Sisense first creates a query "Select dimSomething.[Relationship column] From dimSomething.FieldWithPrioritisedFilter". Then, when building the main query, change the "filtering clauses" to be "Where Fact.[Relationship column] IN (<put prefetched values here>)". Reference: For reference: https://docs.sisense.com/main/SisenseLinux/analytical-engine-overview.htm: Analytical Engine inserts filtering clauses into the innermost SQL statement. This means that filtering is the first operation performed, minimizing the number of rows that need to be scanned in order to process the query. Complex filters, such as top ranking and filter on measure are significantly improved as a result. Proof of concept: Build a Live Model. FactA joins to DimB on ID_B and to DimC on ID_C. The source is SQL Server. In SQL Server, all three tables have millions of rows, and the FactA has foreign keys to DimB and DimC. DimB.Name has a unique name for each row. DimC.Type is 1 for half the rows, and 0 for half the rows. Create a widget that filters for DimB.Name=<some name> and DimC.Type=1. Use SQL Profiler to find the query your Live Model runs. Run the query; it should take over a minute or time out. Then change the "Where FactA.ID_B IN (Select ID_B From DimB Where DimB.Name IN ('<some name>'))" to instead be "Where FactA.ID_B IN (<copy paste the ID of <some name> here>)". It should run much quicker. The original query might run quickly without change, depending on server settings; if so, mess about with more complicated joins or ask me. In my setting key queries were reliably slow. ... View more

When login as Admin, under ReportManager page, there is a setting button (the wheel at the top right side) that allow to customize the user UI experience. i.e. toggle in/off options : - archiving - priority - event based - csv export ... I would suggest a setting here to toggle on / off  "Apply customer filters" and button "Edit Report Filters" just like the other options. Thank you ... View more

Sisense charts show tooltips when you move the mouse above them. When showing those tooltips the website automatically formats numbers in the tooltip in order to simplify the reading and shrinks those numbers if they go above 10k. Most of the times this is what I want as a user, but not always. According to my observations, tooltips stop showing the real number and show a simplification when it goes above 10,000  (e.g instead of showing 16742 it will show 16.7k). This idea would be to allow this number to be displayed in full instead of the shrinked version. Sometimes it is just useful to see the real value and not the simplified one. As a user, I'd like to see the real one sometimes. There are two possible ways of implementing this that come to mind, in the Tooltip section when editing a graph: Add a checkbox, clickable, with the current behaviour by default "[ ] Show raw numbers". This would be below "[ ] Show Total in tooltip" Add a threshold numeric input so that users could manually specify from which number onwards the formatting would shrink (e.g 10,000 by default).  "Shrink numbers above: [            10000]" First option is simpler to understand, second one is more flexible.  Right now, the workaround I'm using is to Edit a chart, then click on "Output" in order to see the real numbers as a table, but this is inconvenient. Here is an example of the number I'm referring to, in a chart. You see 15.9k and I'd like to see 15935.   ... View more

Jump to Dashboard allows us to select values within Pivot tables and show the details of the items. This is user friendly and more efficient for users.  However, the feature does not work when we call the widget via Sisense.JS.  ... View more

This is a request to enhance this feature in community thread of the same title. This is useful because it allows users to see all the available dimension for a particular list of filters even if there are no facts for it. I understand that we can also use this community thread; however, this is only limited to 1 dimension. However, right now, it does not work when [Columns] field are added into pivot table. We would like to add a date/day [Columns]. Ideally for us, the left outer join should only be by the [Row] and allow data to be broken into [Columns]. ... View more

When creating widgets using the day of the week as a category, the categories are sorted alphabetically by the day of the week (Friday, Mon, Sat, Sun, Thu, Tue, Wed) instead of sorting by the actual order of the days of the week (Sun-->Sat, or Mon-->Sun). Seems like an obvious, and absent, feature. ... View more

We have configured Pulses that send through Webhooks to a Slack channel when certain elasticubes fail. This is a really helpful feature, BUT it would be even more helpful if there were the option to also send the error message along with the failure message so that the reason for failure displays in Slack. ... View more

When creating a widget in SimplyAsk, We would like to see the download option extended to offer exporting to excel/CSV if the table viz is the best option. Some viewers might not be able to pin it to the dashboard but still want to extract the insights.  ... View more

It would be very helpful to be able to pass User or Group parameters as Claims in a Web Access Token. This will allow customers to leverage the dynamic features related to User/Group Parameters (e.g. dynamic live query) when using Web Access Tokens. ... View more

On the Analytics page, there is a menu on the left where dashboards are listed. It is possible to create folders to organize dashboards. Folders can be nested within other folders. Currently, It is not possible to drag and drop one folder into another. This would be useful to have. ... View more

We want to be able to see certain metrics by day of the week on bar chart to detect certain patterns without adding a separate day of the week field for every date stamp into our data cube.  ... View more

Major process changes were made on a specific date in May. We would like to be able to add a phase change line in graph to represent an event change, so we can clearly see before and after comparison. ... View more

Currently there’s no way on the Sisense UI to have an overview of when the next ElastiCube Builds are set for. Having such info available would make it possible to easily select relevant time slots to run load testing scripts for instance, but also more broadly to help understand and finetune the current Builds orchestration. In order to do so, we would like for admin roles to have access to a single table-like page that would list all the Builds scheduled in the next 24 hours with the following columns: ElastiCube name Build start date Build theoretical end date* Last successful Build duration * Build theoretical end date = Build start date + Last successful Build duration * (or NULL in the rare event where the Build has never succeeded before) Additional features: CSV Export Sort option on column headers Pagination Note: a single Elasticube can have more than one entry (in the example below, we assume the admin user opens the page at 3:00 PM and the ElastiCube_B's Build is launched every 2 hours). ... View more

When connecting a notebook to an Elasticube, there is no indication what subset of SQL is expected to work Simple features like setting Cell 1 = select * from some_table Cell 2 = select * from Cell1 give errors suggesting the WITH syntax is not permitted, which is a bit of an issue given how heavily notebooks rely on it. There also seems to be limitations using ORDER/LIMIT in subqueries (which is fairly essential if CTEs arent allowed) Any real use of Notebooks on Elasticubes seems quite far away without finishing this feature ... View more

Hi, Our CSMs/Marketing teams using downloaded PDFs as additional information to our customers. A need was raised to make the PDF generated more company branded, including the company logo (which includes in the platform).  It will be very valuable feature for a lot of internal users in the company.  ... View more

Being able to use only 1 field to aggregate on when breaking by a dimension is quite limiting when we are wanting to look at YoY trends on a stacked column chart. I am surprised this has not been brought up yet as one would think this is a fairly common analytical need.  As a broad example, how would one look at YoY sales by day and stacked by product types? ... View more