Hub88 enhances HubAI with Page Insights feature to revolutionize data analysis

(AsiaGameHub) –   Hub88 has introduced Page Insights, a significant new addition to its HubAI suite, aimed at revolutionizing how users engage with data within its Operator Backoffice and Supplier Zone.

This new capability empowers users to effortlessly transform complex tabular data into interactive visual dashboards, simplifying the process of discovering valuable insights without the need for manual data analysis.

Available on select large data pages, Page Insights features a dedicated HubAI Insights Sidebar that automatically generates charts displaying key metrics, such as Breakdown by Currency and Top 5 Games.

Through Smart Tabs, Hub88’s partners can fluidly navigate between different page columns, including turnover, GGR, actives, and average bet. Additionally, an integrated data chat function allows users to pose specific questions about the visualized data and receive immediate, contextually relevant answers.

Page Insights also utilizes HubAI’s Context Mode, enabling the system to interpret and analyze the data currently displayed on screen in response to targeted queries. This allows for tasks like identifying top-performing partners, calculating total GGR, or examining regional performance, all within the same interface.

The feature operates across the entire dataset associated with each page, eliminating the requirement to expand or load additional rows to obtain a comprehensive view of performance.

Ollie Castleman, Managing Director at Hub88, stated:

As our platform continues to grow, making data more accessible and actionable for our partners is a primary focus. Page Insights substantially enhances how users interact with the extensive data they manage, combining AI-driven analysis with intuitive visualization tools to provide immediate clarity and a deeper understanding.

The introduction of Page Insights underscores Hub88’s commitment to enriching its product ecosystem with innovative, user-centric tools designed to extract greater value from large volumes of data.

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