# Data Collection Techniques ### **How is the data collected and processed?** Aterio follows a traceable data collection and processing workflow to ensure accuracy, consistency, and actionability: * **News Monitoring**: RSS feeds aggregate structured disclosures from over 1,000 news sources and 200+ company websites, capturing new developments as they are announced. * **Satellite Analysis**: High-resolution imagery is used to assess construction stages and measure physical characteristics of facilities such as footprint, roof completion, and equipment installation. * **Utility Filings**: Publicly available infrastructure and interconnection filings are continuously monitored to detect early-stage energy demand signals. * **Proprietary Models**: Aterio estimates demands using proprietary models that account for missing or forward looking data. Only structured, validated outputs are included in the dataset, **no raw satellite images are shared**. ### **Is the data manually reviewed?** Yes. All entries are reviewed and validated by human analysts before being published to ensure accuracy and correct tagging of companies, tickers, and locations. ### **What metadata is included with each development?** Each record includes: * Project type (e.g., data center, industrial, energy) * Status (announced, under construction, operational) * Geographic coordinates * Associated companies and stock tickers * Activation or completion timelines ### **Can I integrate this data into a workflow or custom application?** Yes. The data is designed for easy integration into dashboards, LLM pipelines, alerting systems, or portfolio management tools via formats like Snowflake, S3, GCP, or CSV. ### **How can I filter the data by region, company, or specific fields like power demand?** The dataset includes rich filtering fields: state, zip code, utility provider, and power thresholds allowing you to tailor queries to your specific needs. ### **Can I access historical snapshots or backtesting data?** Yes. Aterio stores daily snapshots of the dataset, allowing clients to review past states of development activity for trend analysis and model training. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://knowledge.aterio.io/how-we-build-the-data/data-collection-techniques.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.