Deep Business Optimization: Making Business Process Optimization Theory Work in Practice

Abstract

Abstract. The success of most of today's businesses is tied to the efficiency and effectiveness of their core processes. This importance has been recognized in research, leading to a wealth of sophisticated process optimization and analysis techniques. Their use in practice is, however, often limited as both the selection and the application of the appropriate techniques are challenging tasks. Hence, many techniques are not considered causing potentially significant opportunities of improvement not to be implemented. This paper proposes an approach to addressing this challenge using our deep Business Optimization Platform. By integrating a catalogue of formalized optimization techniques with data analysis and integration capabilities, it assists analysts both with the selection and the application of the most fitting optimization techniques for their specific situation. The paper presents both the concepts underlying this platform as well as its prototypical implementation.

Decision Exploration Lab: A Visual Analytics Solution for Decision Management

“…In highly competitive complex and rapidly changing markets, business decisions should be traceable and adaptable [35,30]. Decision automation is one way to reach this, by encoding business knowledge in an executable decision model [39]. Creating a decision model is the task of a business analyst, or more generally a knowledge engineer.…”

A Two‐Stage Service Replica Strategy for Business Process Efficiency Optimization in Community Cloud

“…The author discusses six challenging areas: process validation, resource allocation, service selection, work queue management, time-based correlation, and prediction and proactive optimization. For the purpose of assist and analyst both in the selection and application of business process optimization techniques, Niedermann et al [8] introduce their deep business optimization platform that maps optimization techniques to a common formalism and combines them with specialized data integration and analytics capabilities. Then they explain how the platform uses formalized patterns for assisting business analysts in detecting and implementing opportunities of improvement [9] .…”

Supporting manufacturing design by analytics, continuous collaborative process improvement enabled by the advanced manufacturing analytics platform

“…Levels of Analytics Analytics can be based on operational data or process data [12]. Operational data is subject-oriented and represents data of traditional data warehouses, e. g., sales data.…”