Filtering
Learn about filtering in Alviss AI for precise data analysis.
Filtering is essential for accurate data analysis. It allows you to focus on specific variables, such as a particular country, region, or product, ensuring that you capture important details and trends that might be hidden in aggregated data.
Activities Dashboard:
- Filter by Variables: Select specific variables like Country, Region, or Grouping to drill down into your data and conduct a detailed analysis.
- Date Range Filters: Modify the time period to examine trends across different time frames, enhancing the precision of your analysis.
Effect Dashboard:
- Filter by Drivers: Isolate particular drivers to assess their impact on your KPIs, helping you determine which factors are most significant.
- Regional Filters: Focus on data for specific countries or regions to understand variations in geographic performance.
- Filter by Responses: Analyze individual KPIs separately to achieve a more accurate and detailed assessment.
Effectively using filters ensures that your analysis is targeted and insightful, enabling you to draw precise and actionable conclusions from your data.
Effect
Use Effect dashboard to visualize how drivers impact commercial objectives based on AI models and data. Key features include detailed breakdowns of KPI influences, filtering for focused analysis on variables, regions, or periods, and tooltips for contextual explanations to aid data-driven decision-making and strategic planning.
Optimizations
Use Alviss AI's optimization feature to automate variable adjustments for simulations and predictions, maximizing or minimizing KPIs under constraints. Select dynamic or goal-driven modes, date ranges with pre/post periods, targets, variables, boundaries, and directions.