Level 1: AI-Enabled Explorer
The first level of AI within Scoop Analytics, the AI-Enabled Explorer, is designed to simplify the complexities of working with data.
Key Features and Benefits:
- Data-Driven Chart and Graph Creation:
AI enables users to generate visualizations from data sets using natural language prompts. For example, users can ask the system to "create a column chart showing pipeline by stage, broken down by week for the past year," and Scoop will handle the rest. - Automated Formula and Query Generation:
Scoop’s AI is trained to craft accurate formulas and queries. This eliminates the need for manual intervention, reducing the learning curve for complex BI tools. - "Assistant" Functionality:
Acting as a smart assistant, the AI interprets user inputs to set filters, prompts, and other parameters automatically. Users no longer need to navigate intricate settings or configurations manually. - Accelerated Insights:
By bypassing the traditional documentation and training requirements of BI tools, Scoop’s AI empowers users to extract insights faster, enabling better decision-making with minimal effort.
Example Use Case:
A sales manager can utilize the AI-Enabled Explorer to instantly create visualizations like KPIs, trend charts, or sales performance dashboards without needing deep technical expertise.
Steps to use AI-Enabled explorer
Step 1: Click on the Magic Wand icon located at the top right of the screen.
Step 2: Using Natural language.
- AI enabled explorer has 3 prompts where users can select dataset, chart type and type in their prompt.
- Asking the answers from Scoop: Users can query using Natural language such as – “show pipeline by stage, broken down by week for the past year”.
- Scoop’s magic within seconds - Scoop will generate the visualizations as requested.
Once a chart is generated by Scoop AI, users can access the Properties Panel to explore the chart's underlying configurations. This allows users to understand how the chart was constructed and make adjustments to properties such as chart type, axis, stacking, and time series settings.
Additionally, the Style Panel enables users to review and modify the chart's visual appearance, ensuring it aligns with their presentation requirements.
The Filter Panel provides an overview of all filters applied by the AI during chart generation. Users can further customize their visualizations by adding, modifying, or removing these filters to refine the displayed data.
Updated about 19 hours ago