Start with a question, not a data dump: what do you need to know right now, and who needs the answer? In the Pyramid Decision Intelligence Platform, users typically begin by connecting to the sources they already rely on—warehouse tables, OLAP cubes, lake data, or flat files. From there, they can combine and shape information in one workspace, then move straight into analysis without jumping between separate tools. The goal is a smoother workflow that reduces handoffs and keeps work reproducible.
For day-to-day analysis, teams can explore results in the form that fits the task: standard tables for audits, pivot-style grids for comparisons, or tailored visuals for quick scanning. Context actions and AI-assisted prompts help users dig into “why” questions by drilling into related slices, filtering on the fly, and surfacing likely drivers—useful when answering ad hoc requests from leadership or validating a KPI that suddenly moved.
When planning ahead, analysts can move from descriptive views to forward-looking models. Use built-in machine learning capabilities to detect patterns, highlight trend changes, and run what-if adjustments (pricing, volume, budget, staffing) to see potential outcomes. Because queries run directly against connected systems, users can iterate quickly—adjust assumptions, refresh results, and compare scenarios without long reload cycles. more
Pyramid Decision Intelligence Platform
Custom
Analyse with Integrated Data Prep
Build Interactive Analysis in Minutes
Faster Decisions with AI and Machine Learning
Get Super-fast Performance with PYRANA
Elevate Self-service with AI-guided Workflows
Deploy in Cloud, On-premises, or Hybrid Environments
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