{"id":182,"count":0,"description":"","link":"https:\/\/tenjin.com\/ja\/glossary\/granular-raw-data\/","name":"\u8a73\u7d30\u30c7\u30fc\u30bf\uff0f\u751f\u30c7\u30fc\u30bf","slug":"granular-raw-data","taxonomy":"glossaries","parent":0,"meta":{"status":["1","1"],"order":["0","0"],"glossary_term_description":["
\r\n\r\nDefinition:<\/b>\r\n\r\nRaw data<\/b> is data in its original, unprocessed form. It has not been aggregated, averaged, filtered, or transformed in any way.\u00a0<\/span>\r\n\r\nGranular data<\/b> refers to data at its most detailed level \u2014 the individual records, events, and attributes that sit beneath the summary numbers you see on a dashboard.<\/span>\r\n\r\nIn practice, the two terms are often used interchangeably. Both refer to the foundational layer of data that makes deeper, more precise analysis possible.<\/span>\r\n\r\n<\/div>\r\n \r\n

What is Raw Data?<\/strong><\/h2>\r\nRaw data is collected directly from its source such as an SDK, an API, a data pipeline, or a device event and stored without modification. It is the data before any processing has taken place.<\/span>\r\n\r\nOn its own, a single raw data record might not tell you much. But in aggregate and when you have the freedom to query, filter, join, and analyze it yourself raw data becomes one of the most powerful assets available to a mobile marketing or product team.<\/span>\r\n\r\nMost analytics platforms display data in an aggregated form by default. They take the raw records and surface totals, averages, and summaries that are useful for quick reads on performance. Raw data is what lives underneath those summaries, and it is what you need when the summary is not enough.<\/span>\r\n

What is Granular Data?<\/strong><\/h2>\r\nGranular data is data captured at the most detailed level possible. Where aggregated data gives you a total or an average, granular data gives you the individual records that make up that total\u00a0 each with its own set of attributes, timestamps, and identifiers.<\/span>\r\n\r\nA useful way to think about the difference:<\/span>\r\n\r\n\r\n\r\n\r\n\r\n
Data Type<\/b><\/td>\r\nWhat You See<\/b><\/td>\r\n<\/tr>\r\n
Aggregated data<\/span><\/td>\r\nTotal gross revenue from purchases on a given day<\/span><\/td>\r\n<\/tr>\r\n
Granular data<\/span><\/td>\r\nEach individual purchase: product ID, currency, gross revenue, net revenue, quantity, timestamp, advertising ID, OS version, and more<\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nThe aggregated view is fast and readable.\u00a0<\/span>\r\n\r\nThe granular view is where you can investigate, segment, and build.<\/span>\r\n

Granular Data vs Aggregated Data<\/strong><\/h2>\r\nAggregated data works well for monitoring. It tells you what happened at a surface level and flags when something looks off. Most dashboards are built around it because it is easy to read and quick to act on.<\/span>\r\n\r\nGranular data is what you need when you want to understand why something happened, or when the answer you are looking for cannot be found in a summary.<\/span>\r\n\r\nSome things you can only do with granular data:<\/span>\r\n