{"id":23572,"date":"2013-05-14T10:53:35","date_gmt":"2013-05-14T05:23:35","guid":{"rendered":"http:\/\/vskills.in\/certification\/tutorial\/?p=23572"},"modified":"2024-04-12T14:17:22","modified_gmt":"2024-04-12T08:47:22","slug":"analytics-criteria-selection","status":"publish","type":"page","link":"https:\/\/www.vskills.in\/certification\/tutorial\/analytics-criteria-selection\/","title":{"rendered":"Analytics criteria selection"},"content":{"rendered":"\n

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The information can be accessed in many ways. But to improve the process and to reduce the processing time the best way is to summarize your query. And the method to improve the query is to select a proper \u201cCRITERIA\u201d which fulfill all your requirements. For example, if a financial organization wants to search all loan defaulter of current month, then they might not want to go through a long list all loans payee who had to pay the loan in current month. They simply want to cluster or partitioning their data in such a way that when they require the list of all loan defaulters, they will get only the relevant data. This is only possible by implementing correct \u201cAnalytic Criteria Selection\u201d. There are two important key factor need to understand while selecting an \u201cAnalysis Criteria\u201d.<\/p>\n