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Dashboard screenshot showing "User Roles" and "User Groups" sections. Bar charts visualize user role distribution across categories like Admin, Designer, and Viewer, and by tenant such as "system," "tenant1," and "VisualPanda." The "system" tenant has the highest number of users, including 10 Viewers, 9 Designers, and 4 Admins. Below, the "User Groups" section lists 17 groups with details like group names, creation dates, default roles, and user counts. A horizontal bar graph on the right displays user distribution across groups like “Everyone,” “Admins,” and “group1.”

Asset Auditor: Bringing People, Permissions and Access Into Focus

When we first launched the Asset Auditor , we focused on giving Sisense users clear visibility into their data assets through purpose-built dashboards directly inside their Sisense environment. The goal was simple: turn visibility into action by helping teams identify inefficiencies and optimize performance. But knowing what your assets are isn’t enough. To truly manage and optimize your environment, you need user context: who has access, how they engage, and where gaps or mi

QBeeQ Blog

Nov 24, 20253 min read

Cartoon showing four men crammed into one oversized red sweater at a clothing store complaints window. The clerk behind the window says, “When we said ‘one size fits all,’ we didn’t mean all at the same time,” humorously addressing the literal interpretation of the phrase.

Dashboard Views: Solving the pain of a one-size-fits-all dashboard

As organizations scale, one question inevitably rises to the surface: how can we deliver analytics to the widest range of users and use cases without overwhelming our data teams? The most common solution is the one-size-fits-all dashboard — a single, standardized view meant to serve as many users and use cases as possible. While this approach feels efficient on the surface, it quickly reveals its limitations. Trying to serve all audiences with one static view leads to dashb

QBeeQ Products

Nov 4, 20254 min read

Sisense Dashboard view showing Snowflake account metrics including total query cost ($416.38), total credits used (138.21), and detailed breakdowns for compute (134.63), cloud services (3.57), and tasks (71.32). The interface also displays the number of queries (103,554), users (9), warehouses (11), and a cost trend graph showing consistent query costs over time, with a notable peak of $4.23 on 8/13/25.

Snowflake Monitor: The fastest way to understand your Snowflake costs and get more value from every credit

Snowflake has become the platform of choice for accelerating modern analytics stacks, powering dashboards and analytics experiences, fueling data-driven decisions, and giving teams the scale they need to work with massive datasets. Organizations strive to increase adoption and engagement in their analytics investments. As more people engage with analytics, pressure on data, storage, and processing layers grows. With Snowflake’s usage-based pricing, this activity can quickly l

QBeeQ Blog

Sep 28, 20254 min read