Organizational Issues of Business Intelligence, Business Analytics and Big Data Minitrack

The provision of the right data with appropriate quality according to the needs of decision makers or automated processes is crucial for successful operations of companies and government agencies. Management Information Systems, Decision Support Systems, Executive Information Systems, interactive online analysis (OLAP), data mining, dashboards and recently predictive analytics are examples for the historic advancement of business intelligence/business analytics (BI/BA) concepts for the front-end, while databases, data warehousing and increasingly ‘Big data’ are examples for the development of the underlying technical infrastructure concepts. The smart combination of task-oriented front-end innovations and technology-driven infrastructure innovations allows for enhanced decision speed, more efficient extracting, cleaning, and aggregating data from source systems, maintaining and analyzing larger data sets, and demand-oriented access to data.

From an information systems perspective, business intelligence, business analytics, and recently, big data analytics constitute a dynamic, fascinating and highly relevant field of research and practice. Examples of open research challenges include managerial considerations (BI/BA/Big data - related strategy, organization and governance, value creation, data quality management, etc.), process-centric business intelligence, Big data ethics and many others. As organizations continue to learn how to leverage ‘Big data’ (including social media data, mobile data, web data and network data) new innovative applications of big data analytics are expected to emerge, and with them new research challenges, yet to be discovered.

This minitrack will accept papers with a managerial, an economic, a methodological or a technical perspective on the above topics. The main emphasis is placed on the business and organizational aspects of Business Intelligence, Business Analytics and Big Data rather than technology. Contributions from the fields of theory building, design research (methods and models), action research as well as analyses of existing or innovative applications are welcome.

Minitrack Co-Chairs:

Olivera Marjanovic (Primary Contact)
University of Sydney Business School

Barbara Dinter
Chemnitz University of Technology, Germany

Thilini Ariyachandra
Xavier University

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