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The thick, horizontal center line represents the actual value. The think, black vertical line represents a target value. The colored or grey scale bands represent ranges, such as poor, average, and good. Bullet graphs may be horizontal or vertical and may be stacked to allow comparisons of several measures at once.
Dashboards serve as a visual representation for a company to monitor progress and trends, not only among themselves but against other companies as well. Dashboards and visualizations contain data that is updated in real time. For example, if the underlying data in an Excel spreadsheet were to change, so would the visualization.
Basic goal seeking functionality is built into most modern spreadsheet packages such as Microsoft Excel. According to O'Brien and Marakas, [1] optimization analysis is a more complex extension of goal-seeking analysis. Instead of setting a specific target value for a variable, the goal is to find the optimum value for one or more target ...
Goodhart's law is an adage often stated as, "When a measure becomes a target, it ceases to be a good measure". [1] It is named after British economist Charles Goodhart, who is credited with expressing the core idea of the adage in a 1975 article on monetary policy in the United Kingdom: [2]
Performance = total count / target counter, by definition this is the percentage of total parts produced on the machine to the production rate of machine. Quality = good count / total count, by definition, this is the percentage of good parts out of the total parts produced on the machine. Cycle time ratio (CTR) = standard cycle time / real ...
In computing, data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental aspect of most data integration [1] and data management tasks such as data wrangling, data warehousing, data integration and application integration.
The characteristic feature of the balanced scorecard and its derivatives is the presentation of a mixture of financial and non-financial measures each compared to a 'target' value within a single concise report.
The data architect is typically responsible for defining the target state, aligning during development and then following up to ensure enhancements are done in the spirit of the original blueprint. During the definition of the target state, the data architecture breaks a subject down to the atomic level and then builds it back up to the desired ...
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