{"id":5159,"date":"2014-05-15T08:23:09","date_gmt":"2014-05-15T02:53:09","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=5159"},"modified":"2024-11-09T17:22:24","modified_gmt":"2024-11-09T11:52:24","slug":"what-is-data-management-and-analysis","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/what-is-data-management-and-analysis\/","title":{"rendered":"What is Data Management and Analysis?"},"content":{"rendered":"

Data is everywhere whether in unstructured or structured form.\u00a0 Yet stand alone data makes no sense unless measured, managed or optimised. To gain valuable insights into a given set of data, the data has to lend itself to analysis using a clearly defined methodology, strategy and business goals.<\/p>\n

What this means<\/b>.<\/p>\n

Data is to be questioned, transformed into information and shaped to desired perspective.<\/p>\n

Data cannot be ignored in any environment, be it a large enterprise, a local pizza delivery outlet, a municipality department, or in social science research.<\/p>\n

\"Data<\/a><\/p>\n

Although how data is managed depends on the types of data involved, method of data collection, storage and usage; the entire process of data management and analysis uses various tools and software. These maybe query tools or automated and parameter-driven reporting tools integrated within a single common interface. Such tools help to slice and dice the data and analyse in unlimited number of ways – to identify patterns and establish relationships.<\/p>\n

Why Data Management?<\/b><\/p>\n