How CRU Uses Pyramid To Drive Its Analytic Solutions & Help Businesses Make Informed Decisions
summary
CRU builds a carbon emissions data service that models emissions and costs for ~40 commodities and ~300 aluminum smelters, running 500 million data points through proprietary pipelines to produce 5–20 year forecasts and weekly price series (900 prices). It exposes data via APIs and Pyramid’s decision intelligence platform with no-code Tabulate modeling, uses Pyramid for QA and visualization, and signs a steel-sector partnership delivering emissions data to a consortium of banks. Plans include Snowflake marketplace sales and ML to automate manual ingestion.
AI-written summary · about
chapters (8)
- 0:00Start
- 0:26Pyramid Analytics Is a Decision Intelligence Platform
- 1:24About Pyramid
- 6:04Carbon Emissions
- 7:18Technology Stack
- 8:55Predictive Analysis
- 10:46Scenario Analysis
- 19:17Business Modeling and Optimization
related talks
28mCombining Third-Party Data, Entity Resolution, and Graph Analytics for ESG Risk Mgmt
38mTransforming Data to Unlock Its Latent Value
39mSell cron, buy Airflow: Modern data pipelines in finance
01h 01m'Scenarios for Uncertainty in Business Analytics as Your Crystal Ball
28mData Reporting and Analytics with API's
25mData interpretation for B2B SaaS tools: how to bring informed business decisions
42mRobust Automated Forecasting in Python and R
47mThierry Ngutegure