Introduction to HICCS-48 Organizational Issues for Big Data, Business Analytics and Business Intelligence Minitrack
نویسندگان
چکیده
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 analytics/business intelligence concepts for the front-end, while databases, data warehousing and recently ‘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 allow 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.
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