Presentation Title: Utilizing Business Process Management (BPM) and Enterprise Architecture (EA) to Achieve and Maintain a Competitive Advantage Presented By: Joe Henneberry ARIS Practice Manager IDS Scheer Canada
Utilize a Business Process Management (BPM) methodology to understand the complexity between KPIs, business processes, application systems, data and organizational systems.
The BPM application selected was IDS Scheer’s ARIS Platform with it’s inherent ARIS methodology
BPM / EA Primer Business Process Modeling Articulated and maintained end to end business process models used to manage process strategy across business and organizational silos. Enterprise Architecture Articulated and maintained models which map the processes to data, applications and infrastructure to manage the elimination of redundant data, software and hardware. Business Performance Management Integration of Key Process Indicators (cost, timing, resources) from the legacy applications into the business process models for real-time management dashboards for day-to-day management. Business Process Management Systems Leveraging Service Oriented Applications (SOA) and Business Rule Engines as a integration layer on top of legacy applications to implement solutions and empower the business to design and implement process changes. Articulated and maintained Business Process Modeling is the core for business Process Management (BPM) Business Process Modeling Business Performance Management Enterprise Architecture Integration Business Process Management Tools Business Process Management
The organization structure of ML GPC is mapped in the organization view. The hierarchy is decomposed from top to bottom showing the Names of the organizational units and positions. These objects are re-used in the processes.
The New Account Opening process flow is described in the process view.
A high level value chain showing the main steps & responsible Organizational Units is broken down into a detailed process with the functions, the position executing these functions & the system supporting them as well as the in-& output of each activity.
The average processing time per function & probabilities per decision are recorded and allow process time calculations. The cost rates for the position that execute the functions are mapped and enable process costing.
The data structure of ML GPC is mapped in the data view. The hierarchy is decomposed from top to bottom showing the data clusters for the different products; the data clusters are then broken down to the different Entity Types that they contain. The clusters are re-used in the processes.
The application system structure within ML GPC is mapped in the Application View. The hierarchy is decomposed from top to bottom showing the different systems used in the processes. These objects are re-used in the processes.