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Profile

Join date: Dec 12, 2024

About

Mia Isaacson is the Head of Product Strategy at QBeeQ. She is a product leader with a background in UX and a passion for creating intuitive B2B SaaS solutions that users didn’t know they needed but soon can’t live without. With over eight years of experience, she specializes in product strategy, growth, and user experience. Based in Portland, Oregon, Mia enjoys traveling, scuba diving, sipping wine, and watching true crime TV. She’s also certified to drive a forklift and firmly believes that no piece of feedback is ever wasted.

Posts (9)

Nov 24, 2025 ∙ 3 min
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 misalignments may...
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Nov 3, 2025 ∙ 4 min
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 dashboards overloaded...
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Sep 28, 2025 ∙ 4 min
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 lead to unexpected...
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Mia isaacson

Mia isaacson

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