Sisense is being used by a number of areas within our organization.
Our board of directors appreciates the ability to present key metrics about our company on a single page. The graphs are easy to understand. The ability to gather information from disparate divisions and present a unified picture saves time and aids decision making.
Our division heads use it to get a picture of how their individual divisions are working. The ability to show the data in graphical form with minimal programming allows them to make better decisions for their departments.
Our compliance department uses the graphs to quickly find issues within the company. By highlighting outliers from a number of different systems, corrective actions can be taken quickly, eliminating potential legal issues.
Sisense can display data in a variety of formats, tabular or graphical, with no programming necessary for the display logic
One 'elasticube' or back end data source, can collect data from any number of different systems. Sisense provides connectors to more than 20 different back end technologies, including all of the leading databases and flat file formats. The Elasticube can contain a query that joins together data from disparate data sources.
The graphical front end facilitates filtering the back end dataset, both at design time and at run time, allowing the user to see just the necessary data set.
Graphical views can be linked, allowing the user to drill down to see more details of any part of the database.
Sisense has been able to connect to every data source that I needed it to connect to. This includes SQL Server, CSVs, Excel, Oracle, and ODBC. Different data sources can easily be accessed within one elasticube.
On the downside, one dashboard can only talk to one Elasticube. This requires careful planning upfront on your building of the cubes.
Sisense is a dashboarding tool. It is very appropriate for delivering summary or exception data to the users, presenting it in a fashion that is easy to digest.
It is not as good at presenting tabular or raw data, showing the details that support the conclusion. If you need to see reams of data for the application, a reporting tool will be better suited to the job.