Introduction to Frameworks
Frameworks are Carbon Arc’s foundational units for building, accessing, and interpreting data. Each Framework pairs a core entity—like a brand, company, location, or person—with a curated insight such as Credit Card Spend, or Website Traffic, designed to answer a real business question.
Frameworks mark a strategic evolution in how Carbon Arc delivers data—shifting from raw access to structured, insight-driven delivery. They reduce time to insight by letting users select an entity and an insight to instantly generate outputs they need, eliminating the need for manual querying. The Platform enforces consistent definitions for metrics, filters, and aggregations, to make Frameworks align across teams and minimize analytical drift. We designed them to be modular making it easy to scale across new datasets, entities, or metrics without reworking core logic, while also streamlining API and SDK interactions with clean, predictable inputs and outputs. By abstracting data into entity-insight pairs, Frameworks enable better governance, reusability, and platform-wide consistency—built around how users think, not just how data is stored!
Think of Frameworks as modular, insight-centric building blocks for analysis.
What Is a Framework?
A Framework defines:
- The What: The entity (e.g., Company, Brand, Person, Location)
- The Why: The business question or signal (e.g., market share, brand spend, hiring trends)
Each Framework represents a reusable, pre-configured pairing that connects to Carbon Arc’s platform infrastructure, including the ontology and data processing engine.
Why Frameworks Matter
Frameworks provide:
- Simplified Access – No SQL required. Just choose your entity and insight.
- Standardization – Definitions and filters are consistent across teams and users.
- Speed & Scale – Frameworks are pre-wired to deliver fast, versioned, and repeatable results.
- API-Readiness – Fully exportable or callable via SDK and API.
Examples of Frameworks
- Brand → Card Spend Market Share in QSR
- Company → Job Listings by Ticker
- Location → Ticket Sales Spend by Concert Venue
How Users Interact
Users don’t need to construct queries. They simply:
- Select an Entity (e.g., Target, California, PepsiCo)
- Choose an Insight (e.g., Card Spend, Cross-Shopper Overlap)
- Purchase and Export Results instantly
Frameworks reduce the time from question to answer.
How Frameworks Support Teams
- Reduce duplication across analysis
- Enable repeatable workflows and trusted metrics
- Centralize logic for internal dashboards and external products
- Make exploratory work structured and collaborative
Summary
Frameworks are the fastest path to structured insights on Carbon Arc. They bring together entities and signals in a standardized, modular way—so your teams can go from hypothesis to decision in seconds.
“Select an entity. Choose an insight. Get to the signal.”