Data Analyze

Data Validate reviews analyses for methodological soundness, calculation accuracy, and common analytical pitfalls before stakeholder presentation. It systematically checks data quality, spot-verifies aggregations, evaluates visualizations, and assesses whether conclusions are actually supported by the underlying data, then delivers a confidence rating and prioritized improvement suggestions.

Data Explore generates a comprehensive profile of any table or file, revealing structure, data quality issues, and patterns. It classifies columns by role, detects anomalies like high nulls and duplicates, and recommends follow-up analyses to guide your next steps.

Data Create Viz turns raw data into polished charts using Python, matplotlib, seaborn, and plotly. It handles data from workspace sources like Stripe and Omie, pasted datasets, or CSVs—then recommends the right chart type and applies the Evolution dark theme with consistent styling, proper formatting, and design best practices.

Data Write Query transforms natural language descriptions into production-ready SQL, optimized for PostgreSQL and the Evolution ecosystem. It handles complex queries with CTEs, multiple joins, and aggregations while following performance best practices. Secondary dialect support includes Snowflake, BigQuery, MySQL, and DuckDB.

Build people analytics reports from your team's workforce data to uncover trends, retention risks, and organizational gaps. Choose from headcount snapshots, attrition analysis, diversity metrics, or organizational health assessments—each surfacing key metrics like turnover rates, time-to-productivity, flight risk indicators, and span of control. Integrates with Notion for direct data access or accepts CSV uploads.

Legal Vendor Check consolidates vendor agreements from connected systems—CRM, email, and document storage—into a single compliance view. It flags missing contracts, identifies LGPD data-handling gaps, and alerts on upcoming renewals to keep vendor relationships legally current.