How to prevent iframe reload when switching tabs in React app embedding Sisense dashboard?
Hi everyone, I'm embedding a Sisense dashboard using an iframe inside a React-based platform. The iframe is rendered on a dedicated Insights tab route: insights. Every time I switch away from this tab and return to it, the iframe reloads, which causes unnecessary load time and loss of dashboard state (like applied filters or selections). My goal is to mount the iframe only once, keep it cached in memory, and just hide/show it based on tab switching, without triggering a reload. Here’s what I’m trying to achieve: Mount the Sisense iframe only once (on first visit to /insights) Persist it in memory even when navigating away Show it again without reloading when coming back Has anyone implemented this pattern or has best practices around iframe caching or persistent embedding of dashboards in a React environment? Would love to hear suggestions or recommended approaches from the community! Thanks!
Implementing Simply Ask in Sisense Embedded Dashboard - A Technical Investigation
Has anyone successfully implemented Simply Ask in an embedded dashboard using the Embed SDK? Are there specific configuration requirements or permissions that need to be set? Is there a recommended approach between using iFrame, SisenseJS, or the Embed SDK for implementing Simply Ask?
Allow multiselect
When designing a dashboard, we want to disable multi-select for a specific filter so that end users can only select one value. The challenge is that we can’t preselect a single value during dashboard creation, since the valid values vary from user to user. Preselecting a value might result in - That value not being available for certain users. Confusion for end users if they see a value that doesn’t apply to them. Ideally, we want the filter to force the user to choose a single value from their applicable options, without allowing multiple selections and without preselecting any default value.
Leveling up analytics: From home-grown solution to Sisense
BigTinCan, a SaaS-based enterprise sales enablement solution developed by a small team in Minneapolis, originally used an in-house developed data visualization system. This system was based on popular open-source graphing libraries and initially met the needs of their customers. However, as the demand for more features such as additional dashboards, reports, automatic subscriptions, and filters grew, the engineering team found itself overwhelmed. The diverse needs of their customers created a never-ending roadmap of feature requests, prompting the team to evaluate commercially available data visualization products.
