Loading...
Paper Type
Complete
Description
In the current era of digital transformation, organizations are faced with an unprecedented volume of data that requires proper management. In order to effectively manage this data, organizations need to understand the data's requirements and usage. In addition, organizations want to leverage this data to improve their business processes and gain valuable insights. Unfortunately, many organizations lack visibility into which data attributes are being used within their processes and at what stage of the process they are being used. To address this problem, this paper presents a prototype called ADAM that uses process mining to identify data attributes and their associated metadata from processes. We provide a detailed description of the requirements gathered for the prototype and explain the design and implementation of ADAM. In particular, we show how ADAM can be utilized to identify data attributes and their specifications used in processes from an SAP ERP system.
Paper Number
1857
Recommended Citation
Baumann, Nick and Schäffer, Thomas, "ADAM - Towards a Software Model for the Automatic Detection of Data Attributes and Metadata in Business Processes" (2023). AMCIS 2023 Proceedings. 15.
https://aisel.aisnet.org/amcis2023/sig_dsa/sig_dsa/15
ADAM - Towards a Software Model for the Automatic Detection of Data Attributes and Metadata in Business Processes
In the current era of digital transformation, organizations are faced with an unprecedented volume of data that requires proper management. In order to effectively manage this data, organizations need to understand the data's requirements and usage. In addition, organizations want to leverage this data to improve their business processes and gain valuable insights. Unfortunately, many organizations lack visibility into which data attributes are being used within their processes and at what stage of the process they are being used. To address this problem, this paper presents a prototype called ADAM that uses process mining to identify data attributes and their associated metadata from processes. We provide a detailed description of the requirements gathered for the prototype and explain the design and implementation of ADAM. In particular, we show how ADAM can be utilized to identify data attributes and their specifications used in processes from an SAP ERP system.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
Comments
SIG DSA