During the life cycle of an ElastiCube (EC) there can be cases when a user can experience data related issues or poor performances that many of those cases can occur due to bad data from the data source (garbage in garbage out), bad modeling or networkconnectivity issues.
The outcome of those issues are expected to occur during the design of the EC, but also during the ongoing use of it. Therefore, when applicable, tracking the suspected sensitive parts of the EC can contribute massively to a rapid fix. This can be achieved by using Sisense Pulse functionality when a predefined KPI is getting above a threshold or having an anomaly behaviour. Then, an alert can be sent to the user which indicates that something is wrong and need to be handled. Eventually this proactive action should minimize the total time from the minute the issue occurred, thru the point that someone notice it, the troubleshooting process, till the it gets fix.
Dashboard Example (sample data)
Click on the image to open and interact with the dashboard:
Enable smooth use for the dashboard designers and viewers as long and without downtime as possible.
Alert the EC designer that something is wrong with the EC and required his\her attention, to minimize the time when the end user will experience any data issues\poor performance.
Alert the EC designer that something is wrong with the EC and required his\her attention, to minimize the time when the end user will experience any data issues\poor performance
How Many Non-Unique Table Are There?
Scale: 0 – [# of M2M.table]
The following resources will enable you to design your dashboard and data model with sample
data and then apply it to your own data. Note that you will need to have a previously
installed version of Sisense (you can use the free trial version if you’re
not a customer).