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· 6 min read
Jon Cajacob, CFA, FRM

/// Key performance indicators (KPIs) are at the very core of each analytics solution. It is very common to have a high number of variations of KPIs required to be implemented in such a tool, e.g. variations based on time (current year, previous year, YTD etc.). Further, KPIs are often interlinked and build on each other in KPI trees. The DRY-principle (don’t-repeat-yourself) is a method to make sure this big number of defined KPIs in a solution is properly managed and organized. Specifically, calculation logics are only ever defined in one place. Variations of KPIs and dependable KPIs always reference back to this original definition and nothing is ever repeated.