C-suite and senior management need insights to monitor business performance.
Analysts and other individual contributors need insights at a very detailed level.
The second element in the FAAR framework is the level of analysis (i.e., the size and scale of the insights needed to measure and improve business performance). The level of insights for belgium whatsapp number data analysis can be at three levels: high, medium, and low.
High-level analysis is abstract in nature and deals with insights into the business value chain.
Medium-level analysis is focused on insights into specific processes in the value chain like order to cash (OTC), procure to pay (P2P), record-to-report (R2R), and so on.
Low-level analysis describes insights into like activities and entities within the system.
The atomicity of insights consumed is the third element in the FAAR framework. From an atomicity perspective, insights can be of three types: granular, aggregate, and KPIs.
Granular insights are detailed data or the lowest level of data and insights in the system. It includes both transactional data (like business events or actions such as purchase orders, invoices, and sales orders) and master data (on business entities such as products, suppliers, assets, and customers).