PPT-Generic Statistical Business Process Model (GSBPM) and its

Experiences from the Australian Bureau of Statistics ABS Trevor Sutton 1 Outline Industrialisation and the need for a strategic focus on statistical business processes Introduction to GSBPM as a reference model . Initial practical steps at the ABS. Helen . Toole. Jennifer Mitchell. Alistair Hamilton . Structure of presentation. Context. ABS IMTP . (. Information Management Transformation Program. ). Nascent international progress toward “industry” architecture for production of official statistics. Collect. Process. Analyse. Disseminate. Survey. A. Survey. B. Historically statistical organisations have produced specialised business processes and IT systems. The problem we are trying to solve. Girts Karnitis, Janis Bicevskis, . Jana . Cerina-Berzina. The work is supported by a European Social Fund Project . No. . 2009/0216/1DP/1.1.1.2.0/09 /APIA/VIAA/044. Problems of Business process modeling. GSBPM. Generic Statistical Information Model (GSIM. ). Thérèse Lalor. Alistair Hamilton. Perspectives : Information & Process. Data (Information) Centric View :. A useful collection of well defined simple and compound data items are transformed by various processes into usable forms for the greater good of the data consumer. Official Statistics. Steven Vale. UNECE. steven.vale@unece.org. Contents. Context . – Why modernize?. The “data deluge”. Competition. Efficiency. The HLG-BAS: . Modernizing . official statistics. Programme. for. the post-2015 development agenda”. Geert Bruinooge. Global Conference on a Transformative Agenda for Official . Statistics. New York 15-16 January 2015. Modern Statistical Production Processes based on a Service-oriented Business and Information Architecture. Inkeun. Cho and James Edwards. Overview. What is fabrication variability?. Sources of variability. How to analyze & model variability. Ways to mitigate variability. 2. What is Fabrication Variability?. for . Smart Manufacturing Project. Nenad Ivezic. Serm. Kulvatunyou. 1. 2. Cloud-Enabled Service- Oriented Manufacturing. Wen, . Xianhe. , and . Xiaojun. Zhou. ". Servitization. of manufacturing industries based on cloud-based business model and the down-to-earth . Email: . jonathan.challener@oecd.org. LinkedIn: . fr.linkedin.com/in/. jonathanchallener.  . Twitter: . @Challener. National platforms for SDG reporting Conference – New York, 22-24 January 2018. with ADONIS. Adapted after ADONIS Method Manual. Generalities. By using the ADONIS BPM toolkit, users can model their business processes as well as their working environment (organizational structures). . Queensland University of Technology. Business Process Modelling. What is a business process?. What’s so special about business processes?. What is BPM?. What is the value of BPM?. Quick recap . from Week 1. Fabrication Variability Inkeun Cho and James Edwards Overview What is fabrication variability? Sources of variability How to analyze & model variability Ways to mitigate variability 2 What is Fabrication Variability? Guidance for Statistical Services. Jakob Engdahl ( . jakob.engdahl@scb.se. ). Head. of . Architecture. and . Strategy. . unit. – IT Department. Statistic. Sweden. Zachman . Framework. Who. When. (. no course text). Architecture and Modelling . of Information Systems (D0I71A). Prof. dr. Monique Snoeck. Reusability. Reusability is a characteristic of a software artefacts of being usable many times in the same or even in different contexts..