Conceptualizing Analytics: Conceptual Modeling and Data Analytics - A Tutorial

Activity: Talk or presentationOther talk or presentationscience-to-science

Description

Business intelligence and data analytics projects often involve low-level, ad hoc data wrangling and programming, often resulting in high development effort and low usability of analytics solutions. Conceptual modeling allows us to move data analytics onto a higher level of abstraction, facilitating the implementation and use of analytics solutions. This tutorial gives an overview of conceptual modeling methods along the (big) data analysis pipeline, based on literature and experience from cooperative research projects with industry. The tutorial targets practitioners involved in the planning and implementation of analytics projects as well as researchers interested in the state of the art and open research questions of business intelligence and data analytics.
Period23 Oct 2018
Event title37th International Conference on Conceptual Modeling (ER 2018)
Event typeOther
LocationChinaShow on map

Fields of science

  • 102028 Knowledge engineering
  • 102016 IT security
  • 102027 Web engineering
  • 502050 Business informatics
  • 503008 E-learning
  • 102 Computer Sciences
  • 102030 Semantic technologies
  • 102033 Data mining
  • 102010 Database systems
  • 102015 Information systems
  • 102025 Distributed systems

JKU Focus areas

  • Management and Innovation
  • Computation in Informatics and Mathematics