Deriving Key Performance Indicators from Business Process Model

2019 ◽  
pp. 148-162
Author(s):  
Václav Řepa
Keyword(s):  
Business Process ◽  
Performance Indicators ◽  
Process Model ◽  
Key Performance Indicators ◽  
Business Process Model

scholarly journals Key Performance Indicators for the Integration of the Service-Oriented Architecture and Scrum Process Model for IOT

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Mengze Zheng ◽  
Islam Zada ◽  
Sara Shahzad ◽  
Javed Iqbal ◽  
Muhammad Shafiq ◽  
...  
Keyword(s):  
Business Process ◽  
Performance Indicators ◽  
Process Model ◽  
Critical Role ◽  
Key Performance Indicators ◽  
Development Environment ◽  
Market Change ◽  
Capability Maturity ◽  
Target Values ◽  
Operational Activities

An important aspect in any business process lifecycle is management of the performance, where performance requirements on business processes are specified as Key Performance Indicators (KPIs) with target values which are to be achieved in a certain analysis period. A KPI is a business metric used to measure and evaluate the individual capability, maturity, complexity, and agility of a business process in the development environment. This study designed four general KPIs for the integration of SOA and scrum to bring further advancement in these approaches for IIoT. The study also identified some common metrics which will give help to software developers and, especially, to those who want to apply SOA and scrum integration. These metrics will play a critical role of bridging the strategy and concepts of improvements with operational activities. The identified KPIs will help to measure the business agility, quality and value, team efficiency, and complexity of scrum- and SOA based projects. Software development organizations can also practice these KPIs to know where to focus their resources to deliver the ultimate business profit. So, software business organizations could better align their business projects and IT investments with the rapid market change and deliveries.

Mapping the General Social Survey to the Generic Statistical Business Process Model: NORC's Experience

2015 ◽  
Vol 38 (3) ◽  
pp. 21
Author(s):  
Scot Ausborn ◽  
Julia Rotondo ◽  
Tim Mulcahy
Keyword(s):  
Business Process ◽  
Process Model ◽  
General Social Survey ◽  
Business Process Model ◽  
Social Survey

Mapping the General Social Survey to the Generic Statistical Business Process Model: NORC's Experience

Extending QVT Relations for Business Process Model Transformation

2011 ◽  
Vol 22 (2) ◽  
pp. 195-210 ◽  
Author(s):  
Xiao HE ◽  
Zhi-Yi MA ◽  
Yan ZHANG ◽  
Wei-Zhong SHAO
Keyword(s):  
Business Process ◽  
Model Transformation ◽  
Process Model ◽  
Business Process Model ◽  
Qvt Relations

The structure and composition of the business process model

2020 ◽  
Author(s):  
Zhyldyz Kalpeyeva ◽  
Aizhan Kassymova ◽  
Timur Umarov ◽  
Akkyz Mustafina ◽  
Nurzhan Mukazhanov
Keyword(s):  
Business Process ◽  
Process Model ◽  
Business Process Model

Computing in the statistical office

2021 ◽  
pp. 1-14
Author(s):  
Mark P.J. van der Loo
Keyword(s):  
Business Process ◽  
Process Model ◽  
Software Engineer ◽  
Business Process Model ◽  
Official Statistics ◽  
Research Software

Computing with data is at the hart activity of the statistical office. Yet, the area of technical computing often falls between the two stools of data analysts and IT developers. In this paper we analyze the importance of computational skills in the Generic Statistical Business Process Model. Next, we give an overview of computational topics that are of importance to the statistical office. Many of these skills turn out to be of highly technical nature. After this, we try to provoke a wider discussion on the role of technical computing by 1) introducing the role of the Research Software Engineer into the field of official statistics and 2) propose a six semester bachelor’s curriculum in official statistics.

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