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Data quality assurance is the process of data profiling to discover inconsistencies and other anomalies in the data, as well as performing data cleansing [17] [18] activities (e.g. removing outliers, missing data interpolation) to improve the data quality.
KPI information boards. A performance indicator or key performance indicator (KPI) is a type of performance measurement. [1] KPIs evaluate the success of an organization or of a particular activity (such as projects, programs, products and other initiatives) in which it engages. [2]
A process-data diagram consists of two integrated models. The meta-process model on the left-hand side is based on a UML activity diagram, and the meta-data model on the right-hand side is an adapted UML class diagram. Combining these two models, the process-data diagram is used to reveal the relations between activities and artifacts (Saeki ...
KPIs evaluate the success of an organization or of a particular activity (such as projects, programs, products and other initiatives) in which it engages. [22] KPIs provide a focus for strategic and operational improvement, create an analytical basis for decision making and help focus attention on what matters most.
Select ingredients (metrics) of interest from each area when there are known objectives but want to save time. Use to refine existing program (rare), compare metrics vs. existing (completeness review) BI practitioner: Use for developing the calculations, finding the data needed to run the calculations, and building appropriate data structures
Statistical process control is appropriate to support any repetitive process, and has been implemented in many settings where for example ISO 9000 quality management systems are used, including financial auditing and accounting, IT operations, health care processes, and clerical processes such as loan arrangement and administration, customer ...
The objective of this stage is to take the data and conform it into information, specifically metrics. Developing KPI: This stage focuses on using the ratios (and counts) and infusing them with business strategies, referred to as key performance indicators (KPI). Many times, KPIs deal with conversion aspects, but not always.
The term "maturity" relates to the degree of formality and optimization of processes, from ad hoc practices, to formally defined steps, to managed result metrics, to active optimization of the processes. The model's aim is to improve existing software development processes, but it can also be applied to other processes.